David Dequech

2.3k citations
44 papers · 1.3k indexed · h-index 18

Impact in

Papers in

David Dequech

39 papers receiving 1.1k citations

Peers

David Dequech
Comparison fields: 5 of 91
  • General Economics, Econometrics and Finance 419
  • General Decision Sciences 74
  • Economics and Econometrics 700
  • Business and International Management 30
  • Management of Technology and Innovation 100
Replace Ludwig von Mises with:
Ludwig von Mises United Kingdom
Nicole Jonker Netherlands
Ludwig M. Lachmann South Africa
Kjetil Bjorvatn Norway
Kurt Dopfer Switzerland
Ádám Szeidl United States
Eliakim Katz Israel
Jan Hanousek Czechia
Alessandra Casella United States
Benn Eifert United States
David Dequech relative to Ludwig von Mises United Kingdom Ludwig von Mises's profile →
Citations per field
00.5×1.5×2.4×
Ludwig von Mises · 1×
Citations per year

Countries citing papers authored by David Dequech

Since Specialization
Citations

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

Fields of papers citing papers by David Dequech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside David Dequech, 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 Dequech Line = papers co-authored together David Dequech links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007154
2 1999130
3 2001112
4
Fundamental Uncertainty and Ambiguity
2000110
5 200390
6 201180
7 200575
8 200272
9 200458
10 200940
11 201237
12 200336
13 200831
14 200027
15 200820
16 201720
17 201418
18 200517
19 200617
20 199717

About David Dequech

David Dequech is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Sociology and Political Science, Safety Research and Management Science and Operations Research, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Economic Theory and Institutions (36 papers), Economic Theory and Policy (22 papers), Economic theories and models (18 papers), Political Economy and Marxism (8 papers), Experimental Behavioral Economics Studies (6 papers), Decision-Making and Behavioral Economics (3 papers), Monetary Policy and Economic Impact (3 papers) and Culture, Economy, and Development Studies (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (419 citations), General Decision Sciences (74 citations), Economics and Econometrics (700 citations), Business and International Management (30 citations) and Management of Technology and Innovation (100 citations). David Dequech has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Jens Beckert and András Róna-Tas. Their work appears in journals such as Journal of Economic Issues, Review of Political Economy, Cambridge Journal of Economics, Journal of Economic Behavior & Organization and American Journal of Economics and Sociology.

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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