David A. Bessler

5.7k citations
165 papers · 4.0k · h-index 37

Impact in

Papers in

David A. Bessler

157 papers receiving 3.6k citations

Peers

David A. Bessler
Comparison fields: 5 of 119
  • General Economics, Econometrics and Finance 1.6k
  • Economics and Econometrics 2.9k
  • Finance 765
  • Management Science and Operations Research 916
  • General Agricultural and Biological Sciences 335
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Franz C. Palm Netherlands
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Countries citing papers authored by David A. Bessler

Since Specialization
Citations

This map shows the geographic impact of David A. Bessler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David A. Bessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Bessler more than expected).

Fields of papers citing papers by David A. Bessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Bessler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David A. Bessler. The network helps show where David A. Bessler may publish in the future.

Co-authors

The 25 scholars most cited alongside David A. Bessler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David A. Bessler Line = papers co-authored together David A. Bessler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003275
2 2001169
3 1983110
4 198595
5 200993
6 198488
7 198186
8 199885
9 200682
10 199280
11 199176
12 200571
13 198769
14 198168
15 198963
16 198461
17 200461
18 200357
19 198657
20 199056

About David A. Bessler

David A. Bessler is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Management Science and Operations Research, General Agricultural and Biological Sciences and Finance, having authored 165 papers that have together received 4.0k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (89 papers), Market Dynamics and Volatility (66 papers), Economics of Agriculture and Food Markets (64 papers), Forecasting Techniques and Applications (19 papers), Agricultural Economics and Policy (17 papers), Agricultural risk and resilience (14 papers), Financial Risk and Volatility Modeling (11 papers) and Global trade and economics (10 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.6k citations), Economics and Econometrics (2.9k citations), Finance (765 citations), Management Science and Operations Research (916 citations) and General Agricultural and Biological Sciences (335 citations). David A. Bessler has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jian Yang, Jon A. Brandt, John L. Kling, James W. Mjelde, David J. Leatham, Ronald A. Babula, Michael Stephen Haigh, Zijun Wang, Stephen W Fuller and Bruce A. McCarl. Their work appears in journals such as American Journal of Agricultural Economics, Journal of Futures Markets, Journal of Forecasting, International Journal of Forecasting and Agricultural Economics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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