Thomas E. McKee

1.3k citations
27 papers · 893 · h-index 12

Impact in

  • Accounting top 1%
    • Financial Distress and Bankruptcy Prediction
    • Auditing, Earnings Management, Governance
    • Corporate Finance and Governance
  • Finance top 5%
    • Credit Risk and Financial Regulations

Papers in

    • Financial Distress and Bankruptcy Prediction 11
    • Auditing, Earnings Management, Governance 8
    • Accounting Education and Careers 2
    • Imbalanced Data Classification Techniques 8

Thomas E. McKee

25 papers receiving 819 citations

Peers

Thomas E. McKee
Comparison fields: 5 of 66
  • Accounting 653
  • Finance 139
  • Management Science and Operations Research 145
  • Management Information Systems 98
  • Artificial Intelligence 362
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Countries citing papers authored by Thomas E. McKee

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. McKee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Thomas E. McKee, 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 Thomas E. McKee Line = papers co-authored together Thomas E. McKee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002175
2 2004132
3 2000111
4 200386
5 202068
6
Earnings Management: An Executive Perspective
200566
7 200460
8 200059
9 199222
10
A Comparison of the Information Technology Knowledge of United States and German Auditors
200818
11 200012
12 199512
13 200710
14 200610
15 200910
16 19959
17 19797
18 20007
19 20106
20 20204

About Thomas E. McKee

Thomas E. McKee is a scholar working on Accounting, Artificial Intelligence, Management Information Systems, Information Systems and Management and Finance, having authored 27 papers that have together received 893 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (11 papers), Imbalanced Data Classification Techniques (8 papers), Auditing, Earnings Management, Governance (8 papers), Rough Sets and Fuzzy Logic (2 papers), Accounting and Organizational Management (2 papers), Stock Market Forecasting Methods (2 papers), Accounting Education and Careers (2 papers) and Credit Risk and Financial Regulations (2 papers). The work is most often cited by research in Accounting (653 citations), Finance (139 citations), Management Science and Operations Research (145 citations), Management Information Systems (98 citations) and Artificial Intelligence (362 citations). Thomas E. McKee has collaborated with scholars based in United States and Norway. Frequent co-authors include Terje Lensberg, Marilyn Magee Greenstein, Aasmund Eilifsen, William F. Messier, Theodore J. Mock, Reiner Quick and Leila Hashemi-Beni. Their work appears in journals such as Journal of Forecasting, Intelligent systems in accounting, finance and management, Managerial Auditing Journal, European Journal of Operational Research and Journal of Accounting Education.

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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