John Bai

1.1k citations
43 papers · 515 indexed · h-index 11

Impact in

  • Accounting top 5%
    • Corporate Finance and Governance
    • Auditing, Earnings Management, Governance
    • Corporate Taxation and Avoidance
  • Finance top 5%
    • Banking stability, regulation, efficiency
    • Financial Markets and Investment Strategies

Papers in

    • Corporate Finance and Governance 18
    • Auditing, Earnings Management, Governance 7
    • Risk Management in Financial Firms 4
    • Financial Markets and Investment Strategies 8

John Bai

39 papers receiving 504 citations

Peers

John Bai
Comparison fields: 5 of 67
  • Accounting 278
  • Finance 157
  • Economics and Econometrics 257
  • General Economics, Econometrics and Finance 50
  • Strategy and Management 82
Replace Francesco Manaresi with:
Francesco Manaresi Italy
Difang Huang China
Heather Tookes United States
Steve Swidler United States
Jenny Berrill Ireland
George-Levi Gayle United States
Viorela Ligia Văidean Romania
Kang H. Park United States
Radu Vranceanu France
William R. Emmons United States
John Bai relative to Francesco Manaresi Italy Francesco Manaresi's profile →
Citations per field
00.5×3.3×
Francesco Manaresi · 1×
Citations per year

Countries citing papers authored by John Bai

Since Specialization
Citations

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

Fields of papers citing papers by John Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
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20 201841

About John Bai

John Bai is a scholar working on Accounting, Finance, Economics and Econometrics, Management Information Systems and General Economics, Econometrics and Finance, having authored 43 papers that have together received 515 indexed citations. Recurring topics across this work include Corporate Finance and Governance (18 papers), Financial Markets and Investment Strategies (8 papers), Firm Innovation and Growth (8 papers), Auditing, Earnings Management, Governance (7 papers), FinTech, Crowdfunding, Digital Finance (6 papers), Risk Management in Financial Firms (4 papers), Labor market dynamics and wage inequality (3 papers) and Economic Growth and Productivity (3 papers). The work is most often cited by research in Accounting (278 citations), Finance (157 citations), Economics and Econometrics (257 citations), General Economics, Econometrics and Finance (50 citations) and Strategy and Management (82 citations). John Bai has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Matthew Serfling, Douglas J. Fairhurst, Chi Wan, Gordon M. Phillips, Daniel Carvalho, Wang Jin, David H. Solomon, Kevin Mullally, Linlin Ma and Eunju Lee. Their work appears in journals such as Journal of Financial Economics, Management Science, Financial Review, Review of Financial Studies and Empirical Economics.

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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