Hans Haller

2.3k citations
102 papers · 1.2k · h-index 17

Impact in

Papers in

Hans Haller

90 papers receiving 1.1k citations

Peers

Hans Haller
Comparison fields: 5 of 123
  • Management Science and Operations Research 544
  • General Decision Sciences 66
  • Safety Research 226
  • Economics and Econometrics 631
  • Statistical and Nonlinear Physics 120
Replace Dan S. Felsenthal with:
Dan S. Felsenthal Israel
Myrna Wooders United States
Mamoru Kaneko Japan
Jean‐François Mertens Belgium
Brian Roberson United States
Roberto Serrano United States
William F. Lucas United States
Koji Okuguchi Japan
Igor V. Evstigneev United Kingdom
Mark Yuying An United States
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Citations per field
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Citations per year

Countries citing papers authored by Hans Haller

Since Specialization
Citations

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

Fields of papers citing papers by Hans Haller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990235
2 199469
3 200561
4 200056
5 199949
6 199745
7 199240
8 198639
9 200538
10 200629
11 199725
12 200124
13 200423
14 201621
15 200020
16 200019
17 200317
18 198116
19
Relationship between adipocyte hypertrophy and metabolic disturbances.
197914
20 200414

About Hans Haller

Hans Haller is a scholar working on Economics and Econometrics, Management Science and Operations Research, Physiology, Gender Studies and Statistical and Nonlinear Physics, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Economic theories and models (36 papers), Game Theory and Applications (29 papers), Game Theory and Voting Systems (20 papers), Gender, Labor, and Family Dynamics (13 papers), Auction Theory and Applications (12 papers), Diet and metabolism studies (10 papers), Opinion Dynamics and Social Influence (9 papers) and Fiscal Policy and Economic Growth (8 papers). The work is most often cited by research in Management Science and Operations Research (544 citations), General Decision Sciences (66 citations), Safety Research (226 citations), Economics and Econometrics (631 citations) and Statistical and Nonlinear Physics (120 citations). Hans Haller has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Vincent P. Crawford, Hans Gersbach, Jean Derks, Sudipta Sarangi, Hans Peters, M Hanefeld, W. Leonhardt, Richard Baron, Steinar Holden and Jurjen Kamphorst. Their work appears in journals such as Economic Theory, Economics Letters, Journal of Economics, Mathematical Social Sciences and International Journal of Game Theory.

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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