Jason V. Chen

462 citations
18 papers · 247 indexed · h-index 8

Impact in

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

Papers in

    • Auditing, Earnings Management, Governance 16
    • Corporate Finance and Governance 12
    • Financial Markets and Investment Strategies 11
    • Capital Investment and Risk Analysis 2

Jason V. Chen

16 papers receiving 235 citations

Peers

Jason V. Chen
Comparison fields: 5 of 35
  • Accounting 184
  • Finance 88
  • Strategy and Management 78
  • Management Information Systems 24
  • Management Science and Operations Research 26
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Jason V. Chen relative to Itay Kama United States Itay Kama's profile →
Citations per field
00.5×1.5×2.0×
Itay Kama · 1×
Citations per year

Countries citing papers authored by Jason V. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jason V. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason V. Chen. 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 Jason V. Chen. The network helps show where Jason V. Chen may publish in the future.

Co-authors

The 10 scholars most cited alongside Jason V. Chen, 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 Jason V. Chen Line = papers co-authored together Jason V. Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202313
2 20230
3 202213
4 202211
5 202134
6 20212
7 20201
8 20206
9 201954
10 20181
11 20186
12 201874
13
Is Analyst Output Informative? An Intraday Study of Analyst Comments
20171
14 20175
15 20167
16
Information Dispersion in Financial Markets
20150
17 201512
18 20157

About Jason V. Chen

Jason V. Chen is a scholar working on Accounting, Finance, General Decision Sciences, Strategy and Management and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 247 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (16 papers), Corporate Finance and Governance (12 papers), Financial Markets and Investment Strategies (11 papers), Financial Reporting and Valuation Research (3 papers), Capital Investment and Risk Analysis (2 papers), Engineering Diagnostics and Reliability (1 paper), Market Dynamics and Volatility (1 paper) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Accounting (184 citations), Finance (88 citations), Strategy and Management (78 citations), Management Information Systems (24 citations) and Management Science and Operations Research (26 citations). Jason V. Chen has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Itay Kama, Reuven Lehavy, Venky Nagar, Jordan Schoenfeld, Kurt H. Gee, Thomas Bourveau, Feng Li, Robert M. Bushman, Feng Li and Huafeng Chen. Their work appears in journals such as Journal of Accounting and Economics, Review of Accounting Studies, Management Science, Journal of Accounting Research and RePEc: Research Papers in 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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