Meir Kohn

1.4k citations
49 papers · 785 · h-index 15

Impact in

Papers in

Meir Kohn

43 papers receiving 658 citations

Peers

Meir Kohn
Comparison fields: 5 of 85
  • General Economics, Econometrics and Finance 202
  • Economics and Econometrics 519
  • Marketing 147
  • Finance 140
  • General Decision Sciences 19
Replace Eric S. Maskin with:
Eric S. Maskin United States
Ralph W. Pfouts United States
Yale M. Braunstein United States
Ken Hendricks Canada
Christian Schumacher Germany
Marcus T. Allen United States
William J. Luther United States
Gary Fromm Switzerland
William Jaffé Canada
Robert W. Clower United States
Meir Kohn relative to Eric S. Maskin United States Eric S. Maskin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meir Kohn

Since Specialization
Citations

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

Fields of papers citing papers by Meir Kohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Meir Kohn, 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 Meir Kohn Line = papers co-authored together Meir Kohn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974263
2
Finance constraints, expectations, and macroeconomics
198841
3 198239
4
A Loanable Funds Theory of Unemployment and Monetary Disequilibrium
198138
5
VALUE AND EXCHANGE
200438
6
Money, banking, and financial markets
199136
7 199927
8 198626
9 199425
10 199924
11 198123
12 199922
13 197818
14 196318
15 199916
16 199913
17 199911
18 199910
19 20018
20 20017

About Meir Kohn

Meir Kohn is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Political Science and International Relations, Demography and Finance, having authored 49 papers that have together received 785 indexed citations. Recurring topics across this work include Historical Economic and Social Studies (19 papers), Economic theories and models (13 papers), Economic Theory and Policy (12 papers), Historical Economic and Legal Thought (11 papers), Monetary Policy and Economic Impact (7 papers), Economic Theory and Institutions (5 papers), Culture, Economy, and Development Studies (3 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (202 citations), Economics and Econometrics (519 citations), Marketing (147 citations), Finance (140 citations) and General Decision Sciences (19 citations). Meir Kohn has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Steven Shavell, S. C. Tsiang, John T. Scott, Duane Stock, I. Gedalia, Joyce Manchester, Nancy Peregrim Marion and Mark A. Hooker. Their work appears in journals such as Canadian Journal of Economics/Revue canadienne d économique, Cato Journal, Journal of Industrial Economics, Economics Letters and Journal of Monetary 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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