Proceeding – 2nd Kuala Lumpur International Agriculture, Forestry and Plantation February 20 – 21, 2016. Hotel Putra, Kuala Lumpur, Malaysia.
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TREND OF 100 TOP-CITED ARTICLES ON AGRICULTURAL RISK Ali Sayyad1* PhD student of Agribusiness, Department of Agribusiness and information system University Putra Malaysia, Malaysia, Email: milarsk@yahoo.com 1
Mohd Mansor Ismail2 Professor of Food and Agricultural Economics, Department of Agribusiness and information system University Putra Malaysia, Malaysia, Email: mmi@agri.upm.edu.my 2
Nader Ale Ebrahim3 Research Support Unit, Centre of Research Services, Institute of Research Management and Monitoring (IPPP), University of Malaya, Malaysia: Email: aleebrahim@um.edu.my 3
ABSTRACT This study reviews the trend of top-cited risk publications in the field of agricultural economics. The publication data are downloaded from the database of Science Citation Index (SCI) Web of Science. Citation analysis and statistical methods are used for nominating and exploring the bibliometric dimensions of the top-cited articles such as top authors, journals, trends of publication and the performance of institutes and countries. The results display a negative impact of collaboration of authors and countries on citation, which contradicts the trends in the other fields of study. The results provide a better understanding of trends in agricultural risk and agricultural economics research, and indicate the direction for future studies. Keywords: Risk, Production Risk, Bibliometric analysis, Citation analysis, Agricultural Risk
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INTRODUCTION
Risk is an undeniable factor in different agricultural production decisions (Yeager 2011). The existence of unmanaged risks can damage the stability of firms (Engler-Palma and Hoag 2007) and can impact farmers’ lives and business, especially in rural sectors (Dillon et al. 2011). The research has been done with regard to considering the risk in agricultural economics, focused not only on production but also covered other aspects of the supply chain (Purcell and Hudson 2003). Insurance (Breustedt et al. 2008), the farmer’s attitude (Serra et al. 2008), and the consumer’s attitude (Horowitz and Carson 1991) toward the risk may affect the farmer’s decision regarding the adoption of technologies (Yoo, 2012) and green concepts (Gambelli et al. 2014). Initially, bibliometrics were proposed by Pritchard in 1969 (Tan et al. 2014) to provides information about growth trends and characteristics of publications (Bajwa et al. 2013) and also examines collaboration between authors, within institutes and internationally. Bibliometrics constitute a quantitative research method that is widely applied to the analysis of scientific production (Chuang et al. 2011). Bibliometrics identify the focus of the research and evaluate the trend of publication (Gedeon et al. 2013). One of the major trends in bibliometrics is to study top-cited articles in specific fields. Study of the top-cited articles can indicate the evolution of research during a period of time and can identify those researchers who have made more of an impression in the research area (Ho 2012). The citation index as a type of bibliometrics method traces the references in a published article (Ale Ebrahim et al. 2014). It shows how many times an article has been cited by other articles (Fooladi et al. 2013). The avenues through which to evaluate citation tracking have greatly increased in the past years (Kear and Colbert-Lewis 2011; Ale Ebrahim, Salehi et al. 2014). The frequency of citation of the publication is assumed to display the impact of publication, but not necessarily its quality (Brandt et al. 2010). Evidently, the citation count alone does not suffice to provide a complete set of criteria for judging the quality of a scientific paper, in particular when numerous mechanisms exist to boost the citations of a paper (Ale Ebrahim et al. 2013; Chattopadhyay 2014). On the other hand, direct citation remains a main indicator of the significance of a research output rather than alternative metrics (Priem 2013; Shotton 2013; Ale Ebrahim et al. 2014). However, because it eliminates the effect of the article’s life-span, which increases the opportunity for improving the citation figures, the citations per year reflect the quality of the article even better than the total number of citations (Chuang, Wang et al. 2011). Bibliometric analysis has been widely used in various fields of study (Nikolic et al. 2011; Cao et al. 2013; CanasGuerrero et al. 2014; Zyoud et al. 2014). In agricultural economics, the bibliometric analysis has been used recently in various publications - for instance, Determinants of citations to the Agricultural and Applied Economics Association Journals (Hilmer and Lusk 2009), FAO studies of fishermen in 1995 (Parker et al. 2010) - evaluate the performance of journals and publications of the Western Agricultural Economics Association (Perry 2012) to analyze the citations and evaluate the performance of scholarships in South African studies in the field of agricultural economics (Kirsten 2011). This study reviews the trend of top-cited publications in the field of agricultural risk and agricultural economics. Both the citation and author keyword analyses in the Scientific Citation Index database were used to describe the global trends of agricultural risk research during the period of 1980-2014. The study attempted to provide all-round insights into the current state of agricultural risk research, including keyword and author analyses, publication trends, distribution of the publication by country, high-performing institutions, top-cited papers and collaboration effects. The results provide a better understanding of the trends in agricultural risk and agricultural economics research, and indicate the direction for future studies. METHOD The articles on agricultural risk reported in this paper were obtained from the Thomson Reuters Web of Science database which is based on the online version of the Science Citation Index Expanded (SCI-Expanded) on July 26th, 2014, in the period 1980-2014. The frequencies of citations per year were collected for each of the top-cited articles. For identifying agricultural risk articles we looked for the term “risk or uncertainty” in the topic and refined the results to the Web of Science (WoS) category of: “AGRICULTURAL ECONOMICS POLICY”; the result was refined to the research area of economics and further refined to agricultural economics. The final results consisted of 908 documents. The data was downloaded and analyzed with the spreadsheet analysis software Microsoft Excel 2013. The 100 top-cited articles were selected in this manner; the papers with most citations per year, which was calculated as the division of the total number of citations by the life-span of the article. The number of citations per year is more accurate and more scientific than the total number of citations to identify the top-cited papers (Chuang et al. 2011; Ho 2014). An abstract of these papers was reviewed by authors and five unrelated papers which applied risk as a general meaning rather than
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as a scientific word in their topic were excluded and replaced with the next five. The average number of citations per year of the listed publication is 2.21, with the maximum being 9.77 and the minimum 1.07. 95 of these papers are only journal articles and another 5 are both proceeding and journal articles.
RESULTS AND DISCUSSION 3.1. Keyword analysis In this section the author keywords are analyzed; these are given the title “DE” in the WoS downloaded database. The author keywords can provide a research subject and detailed overview of the author about the article (Garfield 1990). The keyword analysis provides information about the interests of the researchers and research emphases in the specific topic (Chiu and Ho 2007). Author keywords in 72 of the papers were mentioned in the database. A study of the whole papers of 28 of the remaining articles led to the extraction of keywords in 7 publications and revealed that 21 papers did not originally have author keywords; hence, this analysis is taken from 365 keywords in 79 articles. The terms which contained both singular and plural forms were converted to the most frequently used word. The term “risk aversion” was the most frequent keyword, repeated 17 times. The word “risk” was individually replicated 16 times. “Expected utility” was mentioned 7 times, and the phrases “crop insurance”, “production risk” and “risk preferences” were repeated 6 times. The word “risk” with and without the combination of the other words was repeated 68 times. Table 1 demonstrates the frequency of the repeated author keywords and their percentage of use in the top-cited papers. A study of the author keywords revealed that risk preference - which can be defined by the terms “risk aversion”, “risk preference”, “decreasing absolute risk aversion” and “risk attitude” - was mentioned in 37% of the articles. 3.2. Top Authors This factor is extracted from a list of 200 different authors who have at least one paper in the top 100-ranking list of risk publications in agricultural economics as a single or co-author. The top authors were calculated with three different indexes: TP is the number of total top 100 publications on risk; TCP is the summary of the citations of all the publications in the list; and TCY shows the summation of citations per year of the author’s publications in the list. Jean Paul Chavas with 5 papers has the most TP and TCY, with 11.82 citations per year from all of his publications, but has obtained the second rank in TCP. The best TCP is achieved by Hans Peter Binswanger, with 342 citations from only one publication (ranked 25) in the list and a TCY of 9.77 (ranked 2). Richard E. Just, David J Pannell, and Salvatore Di Falco have three highly cited publications. Additionally, the following 19 authors have two articles in the list: Christopher B. Barrett, John Quiggin, Matthew Holt, Rulon D. Pope, Barry K. Goodwin, Gudbrand Lien, Barry T. Coyle, Keith Coble, David Zilberman, Joost M.E. Pennings, Bruce Babcock, Ragnar Tveterås, Catherine Guirkinger, Dermot Hayes, Mahmud Yesuf, SERGIO H. LENCE and Raushan Bokusheva. Table 2 shows the top 10 TCY and TCP results and the authors with three articles. 3.3. Trend of top publications Our study considers the publication data from 1980 until 2012. The maximum annual publishing top-cited paper during this period is for 2006 and 2009 by 9 published papers. In the years 1982, 1984, 1986 and 1987 we do not have any topcited paper. The trend of publications per year seems to be increasing but in the last years of the study between 2010 and 2012 a steep decline is observed in the number of top-cited publications. Bibliometric studies show that the publications have fewer citations in the first and second years of publication. This may prevent a high quality paper from being nominated as a top-cited paper. The number of publications per year and the linear trend line of the publications are demonstrated in Figure 1. Analysis of the data from 1980 to 2009 by simple regression reveals the significant effect of time on the number of publications per year with F statistic= 54.77, R 2 = (0.66) with a significant slope 0.23 with T statistic =of 7.4 and intercept of (- 458) the equation is as below: Top publication per year = 0.23 Year - 458.7 The equation shows that the number of top-cited publications increases by 23% annually.
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3.4. Distribution of publications by country The data on the countries of publication have been extracted from the addresses of the authors in the database. These were classified and ranked in different categories; TP, which indicates the total publications of a country in terms of SP (single country article) and CP (international collaboration article). FP indicates the first author-published article. 20 countries have at least one paper in the 100 top-cited papers. The US by TP of 64 publications has the highest performance in the world. These countries also rank first in SP, CP and FP; Australia and England follow the US in TP with 10 and 7 articles in the list, respectively. 3.5. Institutes with the highest performance in publishing The data of the performance of the institutes were extracted from the affiliation of the authors of the 100 top-cited articles. 88 different institutes contributed to publishing these 100 top-cited articles in agricultural risk; 55 of them have only 1 article, 16 institutes have two top-cited articles and 16 institutes have more than 3 top-cited articles, as shown in Table 4. The institutes have been ranked in terms of TP (total publication), CP (intra-institute collaborative publication), SIP (single institute publication) and FAP (first author). Iowa State University with 10 top-cited publications had the highest performance in TP, SP and FP but came second in collaboration CP. The University of California, Berkeley, is in the second place in TP with 9 and the University of Maryland and the University Wisconsin are in joint 3rd position with 7 top-cited publications. 3.6. Top journals on risk in agricultural economics All of the 100 top-cited papers were published in only 10 journals; the “American Journal of Agricultural Economics” has allocated more than half of the published papers with 51 published articles. The number of top-cited articles published and some additional information about the journal which has been extracted from the Journal Citation Report (JCR) are shown in Table 5; the additional data for two journals “Australian Journal of Agricultural Economics” and “Review of Agricultural Economics” were not mentioned in JCR 2014. 3.7. The 10 top-cited papers The 10 articles which gained the most total citations among the 100 top-cited list, which is categorized by citations per year, are those which have more impact on the study of risk in agricultural economics. The article “Attitudes toward Risk: Experimental Measurement in Rural India” by H.P. BINSWANGER has the most total citations within risk studies in agricultural economics. The citations of this paper number more than 2.5 times those for the article ranked second, “Joint Estimation of Risk Preference Structure and Technology Using Expo-Power Utility,” in total citations and more than 1.89 times the citations per year achieved by the article ranked second “Econometric Estimation of Producers’ Risk Attitudes” in citations per year. Table 6 shows the highest-cited articles on risk in agricultural economics. TC is the total number of citations of the article and CY indicates the number of citations per year of the paper’s life-span. The ranking of the paper in each category is also mentioned. 3.8. Collaboration in 100 top-cited papers The trend of collaboration of authors, institutes and countries in the publications and also the relationships between collaboration and the quality of papers, as indicated by the total citations (TC) and citations per year (CY), are addressed in this section. Collaboration data for each year were calculated based on the average number of collaborations in a specific year for authors, institutes and countries. 81% of the papers were produced by a single country and 19% were produced internationally. Of the 100 top-cited articles 56 were written by a single institute and 43 articles were written in cooperation with more than two institutes. 22 articles have only one author but 78 of them have at least one co-author. Table 7 shows the collaboration of authors, institutes and countries. The trend of collaboration over the years fluctuates but is significantly increasing for both authors and institutes, as the simple correlation calculated by SPSS 22 software shows in Table 8 Figure2 Shows trend of collaboration in publication in timespan 1980-2014 The correlation between the citations of the articles and the number of collaborators has been calculated. The analysis shows that there is a significant negative correlation between the total citations and the number of authors, but the relationship with the number of institutes and countries in collaboration is not significant; also, there is no significant relationship between the citations per year and the number of collaborators in terms of authors and institutes, but the correlation between the citations per year and the number of international collaborative countries is negatively
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significant. Table 9 shows the Pearson coefficient and the significance of the relationship of TC and CY with the number of collaborators. In contrast with the results of previous studies, the findings of this study show that with increasing numbers of authors a decrease in the total number of citations is observed. In this case, the year of publication could be the answer to the dilemma, as this has strong correlations with the total number of citations and also a significant relationship with the number of collaborators. However, in the case of international collaboration there is not any significant relationship between the total number of citations and the year of publishing, but there is a negative correlation between the number of citations per year and the number of countries collaborating. This means that increased collaboration correlates with fewer citations per year. CONCLUSIONS This study demonstrates some characteristics of the 100 top-cited articles on the subject of risk in agricultural economics, which were categorized by citation per year index. The top-ranking authors, articles, institutes, and publishing journals were introduced and analyzed, and were ranked by different indexes. The distribution of publications and the trend of publications over the years displayed an increasing trend of publication and revealed the US as the highest performing country in terms of publishing articles on the subject of risk in agricultural economics. In addition, the study of collaboration revealed the negative correlation between the total number of citations and the number of authors, and also a negative correlation between the number of collaborating countries and the number of citations per year. These characteristics in the publications on agricultural risk differ from the literature. For instance, the citation analysis shows that papers with international co-authors are cited up to four times more often than those without international co-authors (Ale Ebrahim, Salehi et al. 2013; Jones and Evans 2013). Krause (2009) Argued that articles published through collaborations between several countries or several institutes are cited more. Authors who are often involved in international collaboration received more citations (Aksnes 2003; Ale Ebrahim, Salehi et al. 2013).
REFERENCES Aksnes, D.W. (2003). Characteristics of highly cited papers, Research Evaluation 12, 159-170. Ale Ebrahim, N., Salehi, H., Embi, M.A., Danaee, M., Mohammadjafari, M., Zavvari, A., Shakiba, M. and ShahbaziMoghadam, M. (2014). Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers, Modern Applied Science 8, 63-69. Ale Ebrahim, N., Salehi, H., Embi, M.A., Habibi Tanha, F., Gholizadeh, H. and Motahar, S.M. (2014). Visibility and Citation Impact, International Education Studies 7, 120-125. Ale Ebrahim, N., Salehi, H., Embi, M.A., Habibi Tanha, F., Gholizadeh, H., Motahar, S.M. and Ordi, A. (2013). Effective Strategies for Increasing Citation Frequency, International Education Studies 6, 93-99. Bajwa, R., Yaldram, K. and Rafique, S. (2013). A scientometric assessment of research output in nanoscience and nanotechnology: Pakistan perspective, Scientometrics 94, 333-342. Brandt, J.S., Downing, A.C., Howard, D.L., Kofinas, J.D. and Chasen, S.T. (2010). Citation classics in obstetrics and gynecology: the 100 most frequently cited journal articles in the last 50 years, American journal of obstetrics and gynecology 203, 355. e351-355. e357. Breustedt, G., Bokusheva, R. and Heidelbach, O. (2008). Evaluating the potential of index insurance schemes to reduce crop yield risk in an arid region, Journal of Agricultural Economics 59, 312-328. Canas-Guerrero, I., Mazarron, F.R., Calleja-Perucho, C. and Pou-Merina, A. (2014). Bibliometric analysis in the international context of the "Construction & Building Technology" category from the Web of Science database, Construction And Building Materials 53, 13-25. Cao, Y., Zhou, S.X. and Wang, G.B. (2013). A bibliometric analysis of global laparoscopy research trends during 19972011, Scientometrics 96, 717-730. (ed.)^(eds.) (Year). Ethics of scientific publication: (Mal)-practices and Consequentialism, Proceedings of the Ethics in Science, Technology and Engineering, 2014 IEEE International Symposium on; 23-24 May 2014 2014. Chiu, W.-T. and Ho, Y.-S. (2007). Bibliometric analysis of tsunami research, Scientometrics 73, 3-17.
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Chuang, K.-Y., Wang, M.-H. and Ho, Y.-S. (2011). High-impact papers presented in the subject category of water resources in the essential science indicators database of the institute for scientific information, Scientometrics 87, 551-562. Chuang, K.Y., Wang, M.H. and Ho, Y.S. (2011). High-impact papers presented in the subject category of water resources in the essential science indicators database of the institute for scientific information, Scientometrics 87, 551-562. Dillon, A., Mueller, V. and Salau, S. (2011). Migratory Responses to Agricultural Risk in Northern Nigeria, American Journal of Agricultural Economics 93, 1048-1061. Engler-Palma, A. and Hoag, D.L. (2007). Accounting for risk and stability in technology adoption, Canadian Journal of Agricultural Economics-Revue Canadienne D Agroeconomie 55, 365-379. Fooladi, M., Salehi, H., Yunus, M.M., Farhadi, M., Aghaei Chadegani, A., Farhadi, H. and Ale Ebrahim, N. (2013). Do Criticisms Overcome the Praises of Journal Impact Factor?, Asian Social Science 9, 176-182. Gambelli, D., Solfanelli, F. and Zanoli, R. (2014). Feasibility of risk-based inspections in organic farming: results from a probabilistic model, Agricultural Economics 45, 267-277. Garfield, E. (1990). KEYWORDS PLUS-ISI'S BREAKTHROUGH RETRIEVAL METHOD. 1. EXPANDING YOUR SEARCHING POWER ON CURRENT-CONTENTS ON DISKETTE, Current Contents 32, 5-9. Gedeon, J., Shamlaye, C., Myers, G.J. and Bovet, P. (2013). Epidemiology and public health research productivity in Africa, International journal of epidemiology 42, 913-913. Hilmer, C.E. and Lusk, J.L. (2009). Determinants of citations to the agricultural and applied economics association journals, Applied Economic Perspectives and Policy 31, 677-694. Ho, Y.-S. (2012). Top-cited articles in chemical engineering in Science Citation Index Expanded: A bibliometric analysis, Chinese Journal of Chemical Engineering 20, 478-488. Ho, Y.S. (2014). Classic articles on social work field in Social Science Citation Index: a bibliometric analysis, Scientometrics 98, 137-155. Horowitz, J.K. and Carson, R.T. (1991). A CLASSIFICATION TREE FOR PREDICTING CONSUMER PREFERENCES FOR RISK REDUCTION, American Journal of Agricultural Economics 73, 1416-1421. Jones, K. and Evans, K. (2013). Good Practices for Improving Citations to your Published Work, University of BATH, pp 2. Kear, R. and Colbert-Lewis, D. (2011). Citation searching and bibliometric measures: Resources for ranking and tracking, College & Research Libraries News 72, 470-474. Kirsten, J.F. (2011). Agricultural economics scholarship in South Africa at the crossroads: Is it time for a national institute of food, agricultural and resource economics?, Agrekon 50, 124-144. Krause, K. (2009). Increasing your Article's Citation Rates, Open Access Week., (Serial online). Available from URL: http://works.bepress.com/kate_krause/12/ [accessed 28 May 2013]. Nikolic, N., Bagliniere, J.L., Rigaud, C., Gardes, C., Masquilier, M.L. and Taverny, C. (2011). Bibliometric analysis of diadromous fish research from 1970s to 2010: a case study of seven species, Scientometrics 88, 929-947. Parker, J., Doulman, D. and Collins, J. (2010). Citation analysis for the 1995 FAO Code of Conduct for Responsible Fisheries, Marine Policy 34, 139-144. Perry, G.M. (2012). WAEA presidential address deciding where to publish: Some observations on journal impact factor and article influence score, Journal of Agricultural and Resource Economics 37, 335-348. Priem, J. (2013). Scholarship: Beyond the paper, Nature 495, 437-440. Purcell, W.D. and Hudson, W.T. (2003). Risk sharing and compensation guides for managers and members of vertical beef alliances, Review of Agricultural Economics 25, 44-65. Serra, T., Zilberman, D. and Gil, J.M. (2008). Differential uncertainties and risk attitudes between conventional and organic producers: the case of Spanish arable crop farmers, Agricultural Economics 39, 219-229. Shotton, D. (2013). Publishing: Open citations, Nature 502, 295-297. Tan, J., Fu, H.-Z. and Ho, Y.-S. (2014). A bibliometric analysis of research on proteomics in Science Citation Index Expanded, Scientometrics 98, 1473-1490. Yeager, E.A. (2011). Impact of risk on cost and revenue efficiencies. Zyoud, S.H., Al-Jabi, S.W., Sweileh, W.M. and Awang, R. (2014). A bibliometric analysis of toxicology research productivity in Middle Eastern Arab countries during a 10-year period (2003-2012), Health Research Policy and Systems 12, 13.
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Author Key words risk risk aversion expected utility risk preference crop insurance; production risk; Ethiopia; experimental economics hedging; moral hazard; organic farming; risk attitudes; stochastic dominance; technology adoption; uncertainty agricultural production; agrienvironmental policy; agrobiodiversity; cara utility; credit rationing; decreasing absolute risk aversion; diversity; duality; endogenous risk; food safety; food security; foot-and-mouth disease; insurance; justpope production function; land degradation; poverty; production; q12; q18; reinsurance; risk management; risk perceptions; risk rationing; systemic risk; technical efficiency; wealth; yields
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frequency 16 17 7 8 6 5 3
2
Table 1Author Keywords frequency
Author name Jean Paul Chavas Hans Peter Binswanger Atanu Saha
Richard E. Just David J Pannell John M. Antle
Christopher B. Barrett John Quiggin Matthew Holt
Rulon D. Pope
TP(R) 5(1) 1(25) 2(5) 3(2) 3(2) 2(5) 2(5) 2(5) 2(5) 2(5)
ATC(R) 228(2) 342(1) 175(3) 141(6) 123(7) 170(4) 91(10) 115(8) 157(5) 104(9)
TCY(R) 11.82(1) 9.77(2) 9.25(3) 9.00(4) 7.96(5) 7.61(6) 7.32(7) 7.08(8) 6.72(9) 6.07(10)
Table 2 Top Authors
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Country USA Australia England Canada Germany Netherlands France Israel Norway Italy Spain Belgium Japan MEXICO South Africa Sweden Taiwan Ethiopia Finland Greece Peoples R China
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TP
TP-RANK
SP
SP-RANK
CP
CP-RANK
FP
FP-Rank
64 10 7 6 6 6 3 3 3 3 2 2 1 1 1 1 1 1 1 1 1
1 2 3 4 6 4 7 7 7 7 11 11 13 13 13 13 13 13 13 13 13
50 7 2 3 4 2 2 2 2 1 1 1 1 1 1 -
1 2 5 4 3 5 5 5 5 10 10 10 10 10 10 -
14 3 5 3 2 4 1 1 1 2 1 2 1 1 1 1 1
1 4 2 4 6 3 9 9 9 6 9 6 9 9 9 9 9
57 9 6 5 4 3 3 3 2 1 2 1 1 1 1 1 -
1 2 3 4 5 6 6 6 9 11 9 11 11 11 11 11 -
Table 3 distribution of the publication by country
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Institute Iowa State Univ Univ Calif Berkeley Univ Maryland Univ Wisconsin, Madison Texas A&M Univ Univ Wageningen & Res Ctr Cornell Univ Univ Illinois Bur Agr Econ Inra Michigan State Univ N Carolina State Univ Oklahoma State Univ Purdue Univ Univ London Imperial Coll Sci Technol & Med Univ Western Australia
TP 10 9 7 7 5 5 4 4 3 3 3 3 3 3 3 3
Rank
Rank
CP
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Rank
SIP
1 2 3 3 5 5 7 7 9 9 9 9 9 9 9
4 6 3 4 3 3 2 4
2 1 5 2 5 5 9 2
-
-
1 1 1 2 1 3
21 21 21 9 21 5
6 3 4 3 2 2 2 3 2 2 2 1 2 -
9
2
9
1
-
FAP 8 6 5 3 3 3 3 2 3 3 3 3 2 3 3
15
2
1 3 2 3 6 6 6 -
3 6 6 6 15 6
Rank
1 2 3 4 4 4 4 14 4 4 4 4 14 4 4 14
Table 4 performance of top institutes Impact Factor
5-Year impact factor
Immediacy index
1.36
1.69
0.38
112
>10.0
14
1500
1.08
1.67
0.42
70
7.4
8
852
1.46
2.08
0.4
35
8.4
Australian Journal Of Agricultural And Resource Economics
7
502
1.06
1.46
0.10
Canadian Journal Of Agricultural Economics-Revue Canadienne D Agroeconomie
5
391
0.70
0.86
0.03
27
7.8
5
570
0.43
0.88
0
27
>10.0
5
925
0.97
1.69
0.31
41
8.7
0.64
1.05
0.11
0.54
0.50
0.10
Articles
Cited halflife
Total Cites
4680
100-Top cited
51
Journal Name
American Journal Of Agricultural Economics Agricultural Economics European Review Of Agricultural Economics 29
6.5
Journal Of Agricultural And Resource Economics Journal Of Agricultural Economics 4
6.9
Review Of Agricultural Economics 1 China Agricultural Economic Review
65
29
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Table 5 Top Journals in agricultural risk
Title Author Binswanger Saha, A; Shumway, Cr; Talpaz, H Antle, Jm Pope, Rd; Just, Re Moon, W; Balasubramanian, Sk Mistiaen, Ja; Strand, Ie Knoeber, Cr; Thurman, Wn Love, Ha; Buccola, St Saha, A Barrett, CB; Moser, CM; Mchugh, OV; Barison, J Table 6 Top cited papers
TC
Attitudes Toward Risk - Experimental-Measurement In Rural India Joint Estimation Of Risk Preference Structure And Technology Using Expo-Power Utility Econometric Estimation Of Producers Risk Attitudes On Testing The Structure Of Risk Preferences In Agricultural Supply Analysis Public Attitudes Toward Agrobiotechnology: The Mediating Role Of Risk Perceptions On The Impact Of Trust, Awareness, And Outrage Location Choice Of Commercial Fishermen With Heterogeneous Risk Preferences Dont Count Your Chickens - Risk And Risk Shifting In The Broiler Industry Joint Risk Preference-Technology Estimation With A Primal System Expo-Power Utility - A Flexible Form For Absolute And Relative Risk-Aversion Better Technology, Better Plots, Or Better Farmers? Identifying Changes In Productivity And Risk Among Malagasy Rice Farmers
collaborators
authors
institute
TCR
C/Y
CYR
PY
342
1
9.77
1
1980
134
2
4.78
4
1987
129
3
5.16
2
1990
96
4
4.57
5
1994
81
5
3.37
20
1991
79
6
3.59
17
1993
79
7
2.32
33
1981
73
8
4.05
11
1997
67
9
4.46
6
2000
58
10
3.41
19
1998
Country
6
1
5
2
3
4
9
1
3
24
8
5
2
42
32
14
1
22
56
81
Table 7 Collaboration in 100 top cited papers
Pearson Correlation Author
Sig. (2-tailed)
.000
N
100
Pearson Correlation Institute
Country
.389**
.332**
Sig. (2-tailed)
.001
N
100
Pearson Correlation
-.167
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Sig. (2-tailed)
.096
N
100
**. Significance at the 1% Table 8 Correlations of Collaboration and Publishing year
Collaborator
TC
CY
-.235*
-.029
Sig-(2-tailed)
.018
.776
number
100
100
Pearson (r)
-.132
.116
Sig-(2-tailed)
.192
.250
Number
100
100
Pearson (r)
-.117
-.291**
Sig-(2-tailed)
.245
.003
Number
100
100
Pearson (r) Author
Institute
Country
** Significant at the 0.01 level (2-tailed) * Significant at the 0.05 level (2-tailed) Table 9 Correlations Of collaboration with TC and CY
Trend Of 100Top cited Publication 10 9 8 7 6 5 4 3 2 1 0 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 Figure 1 Trend of 100 Top Cited Publication
210
Proceeding – 2nd Kuala Lumpur International Agriculture, Forestry and Plantation February 20 – 21, 2016. Hotel Putra, Kuala Lumpur, Malaysia.
ISBN 978-967-13952-0-2
Trend Of collaboration 4 3.5 3 2.5 2 1.5 1 0.5 0 1975
1980
1985
1990 author
1995 institute
2000
2005
2010
2015
country
Figure 2 Trend of collaboration
211