Chad A. Proell

577 total citations
19 papers, 412 citations indexed

About

Chad A. Proell is a scholar working on Accounting, Organizational Behavior and Human Resource Management and Management Information Systems. According to data from OpenAlex, Chad A. Proell has authored 19 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Accounting, 5 papers in Organizational Behavior and Human Resource Management and 4 papers in Management Information Systems. Recurrent topics in Chad A. Proell's work include Auditing, Earnings Management, Governance (13 papers), Job Satisfaction and Organizational Behavior (5 papers) and Public Policy and Administration Research (4 papers). Chad A. Proell is often cited by papers focused on Auditing, Earnings Management, Governance (13 papers), Job Satisfaction and Organizational Behavior (5 papers) and Public Policy and Administration Research (4 papers). Chad A. Proell collaborates with scholars based in United States, Australia and Russia. Chad A. Proell's co-authors include Mark W. Nelson, Shana Clor-Proell, Amy E. Randel, Kathryn Kadous, Terry D. Warfield, Melissa C. Thomas-Hunt, Oliver Sheldon, Jay S. Rich, Steven E. Kaplan and Emily E. Griffith and has published in prestigious journals such as Journal of Applied Psychology, Journal of Business Ethics and The Accounting Review.

In The Last Decade

Chad A. Proell

19 papers receiving 398 citations

Peers

Chad A. Proell
Comparison fields: 5 of 42
  • Accounting 244
  • Organizational Behavior and Human Resource Management 98
  • Management Information Systems 97
  • Sociology and Political Science 62
  • Safety Research 58
G. Bradley Bennett United States
Justin Leiby United States
Sudip Bhattacharjee United States
Kimberly K. Moreno United States
Lindsay M. Andiola United States
Nancy L. Harp United States
Flora H. Zhou United States
Ryan Guggenmos United States
Christine J. Nolder United States
G. Bradley Bennett United States View profile →
Citations per field, relative to Chad A. Proell
Chad A. Proell · 1×
Citations per year, relative to Chad A. Proell
Chad A. Proell · 1×

Countries citing papers authored by Chad A. Proell

Since Specialization
Citations

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

Fields of papers citing papers by Chad A. Proell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad A. Proell. 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 Chad A. Proell. The network helps show where Chad A. Proell may publish in the future.

Co-authorship network of co-authors of Chad A. Proell

This figure shows the co-authorship network connecting the top 25 collaborators of Chad A. Proell. A scholar is included among the top collaborators of Chad A. Proell 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 Chad A. Proell. Chad A. Proell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 5
2 11
3 15
4 16
5 19
6 43
7 38
8 7
9 6
10 100
11 10
12 2
13 22
14 53
15 3
16 1
17 2
18 17
19 42

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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