Jon Cohen

2.5k citations
99 papers · 1.3k · h-index 18

Impact in

Papers in

Jon Cohen

96 papers receiving 1.1k citations

Peers

Jon Cohen
Comparison fields: 5 of 164
  • General Economics, Econometrics and Finance 150
  • Economics and Econometrics 350
  • Virology 60
  • Immunology 260
  • Finance 83
Replace Roland Andersson with:
Roland Andersson Sweden
Kristina Nystrôm Sweden
Christian Seidl Germany
Mingxia Zhang China
Robert Powell Australia
Arpita Chatterjee United States
Michael Parkinson United States
Bryan S. Graham United States
Karen M. Young United States
William Collins United States
Jon Cohen relative to Roland Andersson Sweden Roland Andersson's profile →
Citations per field
00.5×9.4×
Roland Andersson · 1×
Citations per year

Countries citing papers authored by Jon Cohen

Since Specialization
Citations

This map shows the geographic impact of Jon Cohen'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 Jon Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Cohen more than expected).

Fields of papers citing papers by Jon Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Cohen. 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 Jon Cohen. The network helps show where Jon Cohen may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon Cohen, 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 Jon Cohen Line = papers co-authored together Jon Cohen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010392
2 2015102
3 197553
4 201630
5 200129
6 197527
7 200925
8
Development of the contingent negative variation in children.
196725
9 199822
10 200919
11 198318
12 201118
13 201418
14 200317
15 198117
16 199017
17 199517
18 200717
19 201217
20 200716

About Jon Cohen

Jon Cohen is a scholar working on Economics and Econometrics, Sociology and Political Science, Epidemiology, Infectious Diseases and General Economics, Econometrics and Finance, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Economic Growth and Productivity (7 papers), Hepatitis C virus research (6 papers), Historical and Environmental Studies (5 papers), Italy: Economic History and Contemporary Issues (5 papers), Economic Theory and Policy (5 papers), Plant Virus Research Studies (4 papers), Zoonotic diseases and public health (4 papers) and Monetary Policy and Economic Impact (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (150 citations), Economics and Econometrics (350 citations), Virology (60 citations), Immunology (260 citations) and Finance (83 citations). Jon Cohen has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michelle Alexopoulos, Stephen M. Sainati, Masayuki Ii, Arthur P. Wheeler, Naoki Aikawa, Ignace Demeyer, Hideyasu Matsuda, Charlie Cao, Derek C. Angus and Todd W. Rice. Their work appears in journals such as Science, The Economic History Review, The Journal of Economic History, The Economic Journal and The Review of Economics and Statistics.

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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