John Nachbar

768 citations
18 papers · 430 · h-index 10

Impact in

Papers in

John Nachbar

17 papers receiving 384 citations

Peers

John Nachbar
Comparison fields: 5 of 47
  • Management Science and Operations Research 291
  • Safety Research 132
  • Economics and Econometrics 214
  • General Decision Sciences 14
  • General Economics, Econometrics and Finance 31
Replace William Stanford with:
William Stanford United States
Takashi Ui Japan
Ratul Lahkar India
Hamid Sabourian United Kingdom
Françoise Forges France
Marcin Pęski Canada
Olivier Tercieux France
Andrea Gaunersdorfer Austria
Eran Shmaya United States
Andriy Zapechelnyuk United Kingdom
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Citations per field
00.5×
William Stanford · 1×
Citations per year

Countries citing papers authored by John Nachbar

Since Specialization
Citations

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

Fields of papers citing papers by John Nachbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside John Nachbar, 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 John Nachbar Line = papers co-authored together John Nachbar links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1990168
2 199780
3 199632
4 200527
5 199225
6 199123
7 200115
8 199815
9 200215
10 19989
11 19967
12
Learning in Games.
20094
13 20033
14
Prediction, Optimization, and Rational Learning in Games
19982
15
The Cost of Capital in the United States and Japan: A Survey of Some Recent Literature
19902
16 19911
17
The Clinical pathology of the blood
20101
18 20031

About John Nachbar

John Nachbar is a scholar working on Management Science and Operations Research, Economics and Econometrics, Safety Research, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 18 papers that have together received 430 indexed citations. Recurring topics across this work include Game Theory and Applications (11 papers), Experimental Behavioral Economics Studies (6 papers), Economic theories and models (4 papers), Evolutionary Game Theory and Cooperation (3 papers), Logic, Reasoning, and Knowledge (2 papers), Game Theory and Voting Systems (2 papers), Economic Policies and Impacts (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Management Science and Operations Research (291 citations), Safety Research (132 citations), Economics and Econometrics (214 citations), General Decision Sciences (14 citations) and General Economics, Econometrics and Finance (31 citations). John Nachbar has collaborated with scholars based in United States. Frequent co-authors include William R. Zame, Andreu Mas‐Colell and Bruce C. Petersen. Their work appears in journals such as Economic Theory, Econometrica, Journal of Mathematical Economics, Journal of Economic Behavior & Organization and Social Choice and Welfare.

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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