Michael Bacharach

36 papers receiving 1.7k citations

Peers

Michael Bacharach
Comparison fields: 5 of 119
  • General Decision Sciences 250
  • Safety Research 684
  • Management Science and Operations Research 517
  • Economics and Econometrics 553
  • Sociology and Political Science 537
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Clemens Puppe Germany
Prasanta K. Pattanaik United States
H. Peyton Young United States
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Leeat Yariv United States
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Citations per year

Countries citing papers authored by Michael Bacharach

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bacharach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Michael Bacharach, 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 Michael Bacharach Line = papers co-authored together Michael Bacharach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biproportional matrices & input-output change
1970295
2 2006236
3 2006192
4 1999177
5
Trust in signs.
2001158
6 198599
7 199798
8 200788
9 196588
10 200061
11 199741
12 197639
13 198739
14 199738
15 197529
16 197928
17 196526
18 196526
19 200222
20 196618

About Michael Bacharach

Michael Bacharach is a scholar working on Management Science and Operations Research, Economics and Econometrics, Safety Research, Sociology and Political Science and Artificial Intelligence, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Game Theory and Applications (14 papers), Experimental Behavioral Economics Studies (7 papers), Economic theories and models (5 papers), Logic, Reasoning, and Knowledge (4 papers), Game Theory and Voting Systems (4 papers), Decision-Making and Behavioral Economics (4 papers), Business Strategy and Innovation (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in General Decision Sciences (250 citations), Safety Research (684 citations), Management Science and Operations Research (517 citations), Economics and Econometrics (553 citations) and Sociology and Political Science (537 citations). Michael Bacharach has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Diego Gambetta, Michele Bernasconi, Gerardo Guerra, Daniel John Zizzo, Dale O. Stahl, Andrew M. Colman, Susan Hurley, Philippe Mongin, Hyun Song Shin and Michio Hatanaka. Their work appears in journals such as Theory and Decision, Games and Economic Behavior, Erkenntnis, Management Science and Journal of the American Statistical Association.

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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