David Berger

6.2k citations
118 papers · 3.3k indexed · 1 hit paper · h-index 34

David Berger

113 papers receiving 3.2k citations

Hit Papers

Labor Market Power1012022202620232024255075100

Peers

David Berger
Comparison fields: 5 of 143
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • General Economics, Econometrics and Finance 460
  • Finance 545
  • Ecological Modeling 217
  • Insect Science 537
Replace Yung Chul Park with:
Yung Chul Park South Korea
Javier Quesada Spain
Eric R. Young United States
Neil Gilbert United States
Donald J. Brown United States
Richard H. Adams United States
Herman de Jong Netherlands
Ian Rowley Australia
Thomas Gehring United States
David Paton United Kingdom
David Berger relative to Yung Chul Park South Korea Yung Chul Park's profile →
Citations per field
00.5×4.8×
Yung Chul Park · 1×
Citations per year

Countries citing papers authored by David Berger

Since Specialization
Citations

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

Fields of papers citing papers by David Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20242
5 20239
6 20231
7 202312
8 20230
9 20224
10
Labor Market Powerbreakdown →
2022101
11 202131
12 202119
13 201914
14 20199
15 201944
16 201828
17
Mortgage-rate pass-through in the presence of refinancing
20181
18
Layoff risk, the welfare cost of business cycles, and monetary policy
20161
19 201496
20
Countercyclical Restructuring and Jobless Recoveries
201254

About David Berger

David Berger is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Ecological Modeling, having authored 118 papers that have together received 3.3k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (39 papers), Insect and Arachnid Ecology and Behavior (30 papers), Plant and animal studies (29 papers), Monetary Policy and Economic Impact (15 papers), Physiological and biochemical adaptations (13 papers), Evolution and Genetic Dynamics (12 papers), Insect and Pesticide Research (11 papers) and Insect-Plant Interactions and Control (11 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.2k citations), General Economics, Econometrics and Finance (460 citations) and Finance (545 citations). David Berger has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Richard J. Walters, Karl Gotthard, Joseph Vavra, Göran Arnqvist, Wolf U. Blanckenhorn, Alain Chaboud, Karl Grieshop, Ivain Martinossi‐Allibert, Kyle Herkenhoff and Veronica Guerrieri. Their work appears in journals such as Evolution, Journal of Evolutionary Biology, Proceedings of the Royal Society B Biological Sciences, Functional Ecology and BMJ.

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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