Michael Mayberry

1.1k total citations
31 papers, 761 citations indexed

About

Michael Mayberry is a scholar working on Accounting, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Michael Mayberry has authored 31 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Accounting, 20 papers in Economics and Econometrics and 4 papers in Strategy and Management. Recurrent topics in Michael Mayberry's work include Corporate Taxation and Avoidance (22 papers), Auditing, Earnings Management, Governance (18 papers) and Taxation and Compliance Studies (16 papers). Michael Mayberry is often cited by papers focused on Corporate Taxation and Avoidance (22 papers), Auditing, Earnings Management, Governance (18 papers) and Taxation and Compliance Studies (16 papers). Michael Mayberry collaborates with scholars based in United States, Canada and Slovenia. Michael Mayberry's co-authors include Thomas C. Omer, Thomas R. Kubick, Daniel P. Lynch, Dan Lynch, Michael P. Donohoe, Petro Lisowsky, Luke Watson, Sean T. McGuire, Jaron H. Wilde and Michael S. Drake and has published in prestigious journals such as The Accounting Review, Contemporary Accounting Research and Auditing A Journal of Practice & Theory.

In The Last Decade

Michael Mayberry

28 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Mayberry United States	12	695	431	141	87	32	31	761
Alexander Edwards Canada	13	898 1.3×	643 1.5×	133 0.9×	61 0.7×	16 0.5×	30	956
Shawn X. Huang United States	11	563 0.8×	137 0.3×	187 1.3×	184 2.1×	33 1.0×	25	629
Oktay Urcan United States	15	650 0.9×	221 0.5×	230 1.6×	235 2.7×	22 0.7×	31	727
Beng Wee Goh Singapore	12	719 1.0×	287 0.7×	210 1.5×	156 1.8×	38 1.2×	30	767
Yijiang Zhao United States	11	472 0.7×	140 0.3×	163 1.2×	134 1.5×	15 0.5×	23	516
Andrea Schertler Germany	11	331 0.5×	168 0.4×	71 0.5×	148 1.7×	25 0.8×	54	442
Michael Dambra United States	11	417 0.6×	124 0.3×	112 0.8×	162 1.9×	25 0.8×	23	471
S. Katie Moon United States	6	301 0.4×	157 0.4×	102 0.7×	111 1.3×	40 1.3×	22	394
Leslie A. Robinson United States	19	1.2k 1.7×	944 2.2×	118 0.8×	26 0.3×	28 0.9×	43	1.3k

Countries citing papers authored by Michael Mayberry

Since Specialization

Citations

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

Fields of papers citing papers by Michael Mayberry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Mayberry

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

All Works

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20 of 20 papers shown

Donohoe, Michael P., et al.. (2024). Shareholder perceptions of external tax advisors in corporate tax planning. Contemporary Accounting Research. 41(2). 1311–1345. 3 indexed citations

Mayberry, Michael, et al.. (2024). Relative Liability Exposure for Negligence and Financial Reporting Quality: Evidence from the Audit Interference Rule. The Accounting Review. 99(4). 339–366. 2 indexed citations

Balsam, Steven, et al.. (2024). Auditing Standards and Boards’ Decisions about CEO Risk-Taking Incentives: Evidence from the PCAOB’s Proposed Amendment to Auditing Standard No. 12. Auditing A Journal of Practice & Theory. 44(2). 1–26.

Mayberry, Michael, et al.. (2023). Equity incentives and conforming tax avoidance. Contemporary Accounting Research. 40(3). 1909–1936. 5 indexed citations

Donohoe, Michael P., et al.. (2023). The predictive ability of tax contingencies for future income tax cash outflows. Contemporary Accounting Research. 41(1). 355–390. 6 indexed citations

Knechel, W. Robert, et al.. (2021). Investments in Auditor-Provided Non-Audit Services and Future Operating Performance. Auditing A Journal of Practice & Theory. 41(2). 141–164. 6 indexed citations

Donohoe, Michael P., et al.. (2020). The Shareholder Response to Corporate Tax Planning Advice Regulation. SSRN Electronic Journal.

Mayberry, Michael, et al.. (2020). Street vs. GAAP: Which Effective Tax Rate Is More Informative?. SSRN Electronic Journal.

Donohoe, Michael P., Petro Lisowsky, & Michael Mayberry. (2018). The Effects of Competition from S Corporations on the Organizational Form Choice of Rival C Corporations. Contemporary Accounting Research. 36(3). 1784–1823. 16 indexed citations

10.

Donohoe, Michael P., Petro Lisowsky, & Michael Mayberry. (2016). Taxes, Competition, and Organizational Form. SSRN Electronic Journal. 2 indexed citations

11.

Kubick, Thomas R., Daniel P. Lynch, Michael Mayberry, & Thomas C. Omer. (2016). The Effects of Regulatory Scrutiny on Tax Avoidance: An Examination of SEC Comment Letters. The Accounting Review. 91(6). 1751–1780. 220 indexed citations

12.

Donohoe, Michael P., Petro Lisowsky, & Michael Mayberry. (2015). WHO BENEFITS FROM THE TAX ADVANTAGES OF ORGANIZATIONAL FORM CHOICE?. National Tax Journal. 68(4). 975–997. 8 indexed citations

13.

Kubick, Thomas R., Dan Lynch, Michael Mayberry, & Thomas C. Omer. (2014). The Effects of Regulatory Scrutiny on Tax Avoidance: An Examination of SEC Comment Letters. SSRN Electronic Journal. 59 indexed citations

14.

Drake, Michael S., Michael Mayberry, & Jaron H. Wilde. (2014). Presidential Elections and the Market Pricing of Future Earnings. SSRN Electronic Journal. 1 indexed citations

15.

Kubick, Thomas R., Daniel P. Lynch, Michael Mayberry, & Thomas C. Omer. (2014). Product Market Power and Tax Avoidance: Market Leaders, Mimicking Strategies, and Stock Returns. The Accounting Review. 90(2). 675–702. 187 indexed citations

16.

Mayberry, Michael, Sean T. McGuire, & Thomas C. Omer. (2013). Smooth Taxable Income, Tax Avoidance, and the Information Content of Taxable Income. SSRN Electronic Journal. 2 indexed citations

17.

Kubick, Thomas R., Dan Lynch, Michael Mayberry, & Thomas C. Omer. (2013). Product Market Power and Tax Avoidance: Market Leaders, Mimicking Strategies, and Stock Returns. SSRN Electronic Journal. 47 indexed citations

18.

Mayberry, Michael, Sean T. McGuire, & Thomas C. Omer. (2012). Smoothing Taxable Income, Tax Avoidance, and the Information Content of Taxable Income. SSRN Electronic Journal. 1 indexed citations

19.

Mayberry, Michael. (2012). Tax Avoidance and Investment: Distinguishing the Effects of Capital Rationing and Overinvestment. OakTrust (Texas A&M University Libraries). 10 indexed citations

20.

Schomaker, Lambert, E.C.M. Hoenkamp, & Michael Mayberry. (1998). Towards collaborative agents for automatic on-line handwriting recognition. 1998. 13–13. 1 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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