Thomas E. McKee

1.2k citations
28 papers · 874 · h-index 12

Impact in

  • Accounting top 2%
    • 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 9
    • Accounting Education and Careers 2
    • Imbalanced Data Classification Techniques 8

Thomas E. McKee

26 papers receiving 791 citations

Peers

Thomas E. McKee
Comparison fields: 5 of 68
  • Accounting 650
  • Finance 140
  • Management Information Systems 99
  • Management Science and Operations Research 135
  • Artificial Intelligence 330
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002170
2 2004118
3 2000106
4 200376
5
Earnings Management: An Executive Perspective
200572
6 202067
7 200056
8 200455
9 199223
10
A Comparison of the Information Technology Knowledge of United States and German Auditors
200817
11 200012
12 199512
13
Current materiality guidance for auditors
200011
14 200910
15 20199
16 19799
17 20079
18 20009
19 20069
20 19958

About Thomas E. McKee

Thomas E. McKee is a scholar working on Accounting, Artificial Intelligence, Management Information Systems, Management Science and Operations Research and Information Systems, having authored 28 papers that have together received 874 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (11 papers), Auditing, Earnings Management, Governance (9 papers), Imbalanced Data Classification Techniques (8 papers), Accounting and Organizational Management (3 papers), Accounting Education and Careers (2 papers), Credit Risk and Financial Regulations (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Accounting (650 citations), Finance (140 citations), Management Information Systems (99 citations), Management Science and Operations Research (135 citations) and Artificial Intelligence (330 citations). Thomas E. McKee has collaborated with scholars based in United States and Norway. Frequent co-authors include Terje Lensberg, Aasmund Eilifsen, Marilyn Greenstein, William F. Messier, Theodore J. Mock, Reiner Quick and Leila Hashemi-Beni. Their work appears in journals such as Journal of Forecasting, Managerial Auditing Journal, European Journal of Operational Research, Accounting Education and Journal of the Association for Information Systems.

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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