Mark E. Bagnoli

6k citations
39 papers · 3.5k · 2 hit papers · h-index 21

Impact in

Papers in

    • Auditing, Earnings Management, Governance 12
    • Corporate Finance and Governance 5
    • Financial Markets and Investment Strategies 8

Mark E. Bagnoli

39 papers receiving 3.3k citations

Mark E. Bagnoli's Hit Papers

Log-concave probability and its applications 2006 · 603 citations
6030+7+14Years since publication200400600

Peers

Mark E. Bagnoli
Comparison fields: 5 of 85
  • Accounting 644
  • Management Information Systems 338
  • Economics and Econometrics 841
  • Management Science and Operations Research 483
  • Safety Research 370
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Citations per field
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Citations per year

Countries citing papers authored by Mark E. Bagnoli

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Bagnoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Bagnoli. 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 Mark E. Bagnoli. The network helps show where Mark E. Bagnoli may publish in the future.

Co-authors

The 15 scholars most cited alongside Mark E. Bagnoli, 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 Mark E. Bagnoli Line = papers co-authored together Mark E. Bagnoli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Log-concave probability and its applications
Hit paper breakdown →
2004749
2
Log-concave probability and its applications
Hit paper breakdown →
2006603
3 2003385
4 1989317
5 1991212
6 1993128
7 1988106
8 2002105
9 198999
10 199995
11 201088
12 200670
13 200564
14 201452
15 200050
16 199648
17 199242
18 200839
19 198938
20 199231

About Mark E. Bagnoli

Mark E. Bagnoli is a scholar working on Accounting, Finance, Economics and Econometrics, Strategy and Management and Marketing, having authored 39 papers that have together received 3.5k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (12 papers), Financial Markets and Investment Strategies (8 papers), Merger and Competition Analysis (7 papers), Corporate Finance and Governance (5 papers), Game Theory and Voting Systems (4 papers), Experimental Behavioral Economics Studies (3 papers), Probability and Statistical Research (2 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Accounting (644 citations), Management Information Systems (338 citations), Economics and Econometrics (841 citations), Management Science and Operations Research (483 citations) and Safety Research (370 citations). Mark E. Bagnoli has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Ted C. Bergstrom, Susan G. Watts, Barton L. Lipman, Stephen Walter Salant, Joseph E. Swierzbinski, William J. Kross, Messod Daniel Beneish, Naveen Khanna, Roger Gordon and Yong Zhang. Their work appears in journals such as Annals of Finance, The Accounting Review, Journal of Accounting and Public Policy, Journal of Accounting Research and Journal of Economics & Management Strategy.

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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