Richard H. Willis

5.4k citations
70 papers · 4.0k indexed · 3 hit papers · h-index 24
Topics
Auditing, Earnings Management, Governance (31 papers)Financial Markets and Investment Strategies (25 papers)Corporate Finance and Governance (16 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Richard H. Willis

64 papers receiving 3.7k citations

Hit Papers

Social Exchange1980202619952010198019971981250500750

Peers

Richard H. Willis
Comparison fields: 5 of 118
  • Accounting 2.1k
  • Finance 1.7k
  • Sociology and Political Science 816
  • Strategy and Management 703
  • Organizational Behavior and Human Resource Management 604
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Richard H. Willis relative to Steven E. Kaplan United States Steven E. Kaplan's profile →
Citations per field
00.5×6.4×
Steven E. Kaplan · 1×
Citations per year

Countries citing papers authored by Richard H. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Richard H. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard H. Willis. 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 Richard H. Willis. The network helps show where Richard H. Willis may publish in the future.

Co-authorship network of co-authors of Richard H. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Richard H. Willis. A scholar is included among the top collaborators of Richard H. Willis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard H. Willis. Richard H. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 5
5 75
6
Regulation Fair Disclosure and the Cost of Adverse Selection
18
7
Recurring birth pangs: Teacher registration in England
0
8
The Effect of Experience on Security Analyst Underreaction
19
9 24
10
Mutual Fund Manager Forecasting Behavior
3
11 18
12
Does Forecast Accuracy Matter to Security Analysts
64
13 438
14 2
15
Do Security Analysts Improve Their Performance with Experience
85
16 7
17 56
18 22
19 6
20 15

About Richard H. Willis

Richard H. Willis is a scholar working on Accounting, Finance and Management Science and Operations Research, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (31 papers), Financial Markets and Investment Strategies (25 papers) and Corporate Finance and Governance (16 papers). The work is most often cited by research in Accounting (2.1k citations), Finance (1.7k citations) and General Decision Sciences (156 citations). Richard H. Willis has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Beverly R. Walther, Michael B. Mikhail, Kenneth J. Gergen, Martin S. Greenberg, George C. Homans, Edwin P. Hollander, Robert E. Whaley, Baljit K. Sidhu, Tom Smith and Li Xu. Their work appears in journals such as Journal of Personality and Social Psychology, Psychological Bulletin 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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