Don Herrmann

1.4k total citations
36 papers, 1.0k citations indexed

About

Don Herrmann is a scholar working on Accounting, Strategy and Management and Finance. According to data from OpenAlex, Don Herrmann has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Accounting, 17 papers in Strategy and Management and 15 papers in Finance. Recurrent topics in Don Herrmann's work include Auditing, Earnings Management, Governance (31 papers), Financial Reporting and Valuation Research (17 papers) and Financial Markets and Investment Strategies (15 papers). Don Herrmann is often cited by papers focused on Auditing, Earnings Management, Governance (31 papers), Financial Reporting and Valuation Research (17 papers) and Financial Markets and Investment Strategies (15 papers). Don Herrmann collaborates with scholars based in United States, Japan and Canada. Don Herrmann's co-authors include Wayne B. Thomas, Tatsuo Inoue, Tony Kang, Shahrokh M. Saudagaran, Giorgio Gotti, John L. Abernathy, Bruce K. Behn, Gopal V. Krishnan, Ole‐Kristian Hope and Jeff L. Payne and has published in prestigious journals such as Journal of International Business Studies, Journal of Accounting Research and The Accounting Review.

In The Last Decade

Don Herrmann

36 papers receiving 941 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Don Herrmann United States 16 956 546 283 104 96 36 1.0k
Vivek Mande United States 18 1.1k 1.2× 470 0.9× 290 1.0× 107 1.0× 103 1.1× 42 1.2k
Jeff L. Payne United States 16 1.3k 1.3× 526 1.0× 506 1.8× 139 1.3× 148 1.5× 31 1.4k
Laura Yue Li United States 11 756 0.8× 369 0.7× 271 1.0× 64 0.6× 103 1.1× 19 829
Richard Mergenthaler United States 17 1.0k 1.1× 454 0.8× 331 1.2× 121 1.2× 152 1.6× 27 1.1k
Paul J. Simko United States 9 1.2k 1.2× 655 1.2× 532 1.9× 58 0.6× 107 1.1× 19 1.3k
Sharad Asthana United States 18 958 1.0× 378 0.7× 322 1.1× 97 0.9× 122 1.3× 42 1.1k
Daniel A. Bens United States 18 1.4k 1.4× 803 1.5× 437 1.5× 72 0.7× 167 1.7× 28 1.5k
Karl A. Muller United States 14 1.2k 1.3× 716 1.3× 457 1.6× 110 1.1× 190 2.0× 24 1.3k
Eugene A. Imhoff United States 10 962 1.0× 567 1.0× 399 1.4× 78 0.8× 129 1.3× 12 1.1k
Pervin K. Shroff United States 18 1.3k 1.3× 735 1.3× 753 2.7× 62 0.6× 99 1.0× 34 1.4k

Countries citing papers authored by Don Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by Don Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don Herrmann. 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 Don Herrmann. The network helps show where Don Herrmann may publish in the future.

Co-authorship network of co-authors of Don Herrmann

This figure shows the co-authorship network connecting the top 25 collaborators of Don Herrmann. A scholar is included among the top collaborators of Don Herrmann 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 Don Herrmann. Don Herrmann 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
1.
Herrmann, Don, et al.. (2016). Changes in Audit Quality under Auditing Standard No. 5. 16(1). 57–83. 1 indexed citations
2.
Beyer, Brooke, Don Herrmann, & Eric T. Rapley. (2015). Disaggregated Capital Expenditures. SSRN Electronic Journal. 1 indexed citations
3.
Gotti, Giorgio, et al.. (2015). Earnings Quality of Foreign versus U.S. Reverse Mergers: Geographical Location or Firm-Level Incentives?. Journal of International Accounting Research. 15(1). 49–66. 10 indexed citations
4.
Behn, Bruce K., Giorgio Gotti, Don Herrmann, & Tony Kang. (2013). Classification Shifting in an International Setting: Investor Protection and Financial Analysts Monitoring. Journal of International Accounting Research. 12(2). 27–50. 51 indexed citations
5.
Abernathy, John L., Don Herrmann, Tony Kang, & Gopal V. Krishnan. (2012). Audit committee financial expertise and properties of analyst earnings forecasts. Advances in Accounting. 29(1). 1–11. 50 indexed citations
6.
Herrmann, Don, Ole‐Kristian Hope, Jeff L. Payne, & Wayne B. Thomas. (2010). The Market’s Reaction to Unexpected Earnings Thresholds. SSRN Electronic Journal. 10 indexed citations
7.
Beyer, Brooke, Don Herrmann, Gary K. Meek, & Eric T. Rapley. (2010). What It Means to be an Accounting Professor: A Concise Career Guide for Doctoral Students in Accounting. Issues in Accounting Education. 25(2). 227–244. 32 indexed citations
8.
Thomas, Wayne B., et al.. (2008). Financial Accounting 2nd Edition. 1 indexed citations
9.
Hope, Ole‐Kristian, Don Herrmann, & Wayne B. Thomas. (2007). International Diversification and Forecast Optimism: The Effects of Reg FD. 11 indexed citations
10.
Herrmann, Don, Tatsuo Inoue, & Wayne B. Thomas. (2007). The effect of changes in Japanese consolidation policy on analyst forecast error. Journal of Accounting and Public Policy. 26(1). 39–61. 7 indexed citations
11.
Herrmann, Don, et al.. (2006). Convergence: In Search of the Best: CPAs Should Understand How U.S. and Foreign Accounting Standards Influence Each Other. Journal of accountancy online/Journal of accountancy. 201(1). 69. 1 indexed citations
12.
Herrmann, Don, Tatsuo Inoue, & Wayne B. Thomas. (2003). The Sale of Assets to Manage Earnings in Japan. Journal of Accounting Research. 41(1). 89–108. 171 indexed citations
13.
Herrmann, Don, Tatsuo Inoue, & Wayne B. Thomas. (2002). The Effects of Investor Informativeness and Earnings Persistence on the Japanese Subsidiary Earnings Anomaly. Journal of International Accounting Research. 1(1). 45–59. 3 indexed citations
14.
Herrmann, Don, Tatsuo Inoue, & Wayne B. Thomas. (2001). The Sale of Assets to Manage Earnings in Japan. SSRN Electronic Journal. 15 indexed citations
15.
Herrmann, Don, Wayne B. Thomas, & Tatsuo Inoue. (2000). The Persistence and Forecast Accuracy of Earnings Components in the USA and Japan. SSRN Electronic Journal. 3 indexed citations
16.
Herrmann, Don, Tatsuo Inoue, & Wayne B. Thomas. (2000). The Persistence and Forecast Accuracy of Earnings Components in the USA and Japan. Journal of International Financial Management and Accounting. 11(1). 48–70. 18 indexed citations
17.
Herrmann, Don & Wayne B. Thomas. (2000). A model of forecast precision using segment disclosures: implications for SFAS no. 131. Journal of International Accounting Auditing and Taxation. 9(1). 1–18. 25 indexed citations
18.
Herrmann, Don & Wayne B. Thomas. (1996). Segment reporting in the European Union: Analyzing the effects of country, size, industry, and exchange listing. Journal of International Accounting Auditing and Taxation. 5(1). 1–20. 38 indexed citations
19.
Herrmann, Don & Tatsuo Inoue. (1996). Income smoothing and incentives by operating condition: An empirical test using depreciation changes in Japan. Journal of International Accounting Auditing and Taxation. 5(2). 161–177. 43 indexed citations
20.
Herrmann, Don & Wayne B. Thomas. (1995). Harmonisation of Accounting Measurement Practices in the European Community. Accounting and Business Research. 25(100). 253–265. 77 indexed citations

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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