Gur Huberman

8.0k citations
58 papers · 4.8k indexed · 2 hit papers · h-index 23

Gur Huberman

56 papers receiving 4.4k citations

Hit Papers

Familiarity Breeds Investment1.3k20012026200920174008001.2k

Peers

Gur Huberman
Comparison fields: 5 of 87
  • Finance 3.4k
  • Accounting 2.1k
  • General Decision Sciences 198
  • Economics and Econometrics 2.4k
  • General Economics, Econometrics and Finance 572
Replace Bruno Biais with:
Bruno Biais France
Sanjiv Ranjan Das United States
Zhi Da United States
Laura Veldkamp United States
Martin Hellwig Germany
Paul C. Tetlock United States
Andrea Frazzini United States
Peter M. DeMarzo United States
Philip H. Dybvig United States
Robin Greenwood United States
Gur Huberman relative to Bruno Biais France Bruno Biais's profile →
Citations per field
00.5×1.5×
Bruno Biais · 1×
Citations per year

Countries citing papers authored by Gur Huberman

Since Specialization
Citations

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

Fields of papers citing papers by Gur Huberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Gur Huberman, 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 Gur Huberman Line = papers co-authored together Gur Huberman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20240
4 20233
5 20216
6 202011
7
Limited Contract Enforcement and Strategic Renegotiation
201616
8
Moral Hazard and Debt Maturity
20136
9 20116
10 20113
11 20076
12 200634
13
Familiarity Breeds Investmentbreakdown →
20011297
14 20016
15 19989
16 19889
17 1987149
18 198743
19 19848
20 198413

About Gur Huberman

Gur Huberman is a scholar working on Finance, Accounting, Economics and Econometrics, General Economics, Econometrics and Finance and Management Science and Operations Research, having authored 58 papers that have together received 4.8k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (31 papers), Corporate Finance and Governance (11 papers), Economic theories and models (11 papers), Housing Market and Economics (8 papers), Monetary Policy and Economic Impact (8 papers), Stochastic processes and financial applications (8 papers), Blockchain Technology Applications and Security (8 papers) and Auction Theory and Applications (7 papers). The work is most often cited by research in Finance (3.4k citations), Accounting (2.1k citations), General Decision Sciences (198 citations), Economics and Econometrics (2.4k citations) and General Economics, Econometrics and Finance (572 citations). Gur Huberman has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include Shmuel Kandel, Jacob D. Leshno, Ciamac C. Moallemi, Charles P. Himmelberg, Simon Gilchrist, Daniel Granot, Daniel Dorn, Robert F. Stambaugh, Paul Sengmueller and Charles M. Kahn. Their work appears in journals such as The Journal of Finance, Economics Letters, Management Science, The Journal of Business and Journal of Economic 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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