Michael Neel

1.3k total citations · 1 hit paper
14 papers, 830 citations indexed

About

Michael Neel is a scholar working on Accounting, Strategy and Management and Finance. According to data from OpenAlex, Michael Neel has authored 14 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Accounting, 8 papers in Strategy and Management and 6 papers in Finance. Recurrent topics in Michael Neel's work include Auditing, Earnings Management, Governance (11 papers), Corporate Finance and Governance (9 papers) and Financial Reporting and Valuation Research (8 papers). Michael Neel is often cited by papers focused on Auditing, Earnings Management, Governance (11 papers), Corporate Finance and Governance (9 papers) and Financial Reporting and Valuation Research (8 papers). Michael Neel collaborates with scholars based in United States. Michael Neel's co-authors include Dechun Wang, Anwer S. Ahmed, Gerald J. Lobo, Mary Lea McAnally, Doctoral Student, Lynn Rees and Jianren Xu and has published in prestigious journals such as Contemporary Accounting Research, Review of Accounting Studies and Review of Quantitative Finance and Accounting.

In The Last Decade

Michael Neel

11 papers receiving 767 citations

Hit Papers

Does Mandatory Adoption of IFRS Improve Accounting Qualit... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Neel United States 6 783 479 176 89 52 14 830
John Goodwin Australia 12 807 1.0× 419 0.9× 184 1.0× 88 1.0× 65 1.3× 27 847
Ewa Sletten United States 11 621 0.8× 255 0.5× 207 1.2× 55 0.6× 81 1.6× 16 671
Ulf Brüggemann Germany 7 474 0.6× 253 0.5× 142 0.8× 77 0.9× 54 1.0× 11 540
Myungsoo Son United States 10 516 0.7× 240 0.5× 85 0.5× 53 0.6× 43 0.8× 27 578
Mark Soliman United States 11 481 0.6× 281 0.6× 209 1.2× 42 0.5× 56 1.1× 13 538
Timothy A. Seidel United States 13 561 0.7× 205 0.4× 113 0.6× 100 1.1× 45 0.9× 50 629
Jeff Zeyun Chen United States 14 425 0.5× 181 0.4× 134 0.8× 45 0.5× 75 1.4× 35 475
Billy S. Soo United States 8 773 1.0× 289 0.6× 154 0.9× 109 1.2× 51 1.0× 12 805
Steve Lin United States 13 570 0.7× 319 0.7× 182 1.0× 33 0.4× 59 1.1× 27 603
Huichi Huang United States 7 514 0.7× 192 0.4× 62 0.4× 83 0.9× 49 0.9× 9 552

Countries citing papers authored by Michael Neel

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Neel

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

All Works

14 of 14 papers shown
2.
Neel, Michael. (2025). Country-Level Loss Aversion and the Market Response to Earnings News. RePEc: Research Papers in Economics. 60(1).
4.
Neel, Michael, et al.. (2023). Financial Statement Relevance, Representational Faithfulness, and Comparability. SSRN Electronic Journal.
5.
Neel, Michael, et al.. (2023). Financial statement relevance, representational faithfulness, and comparability. Review of Quantitative Finance and Accounting. 62(1). 309–339. 1 indexed citations
6.
Neel, Michael, et al.. (2022). Accounting information and left-tail risk. Review of Quantitative Finance and Accounting. 58(4). 1709–1740. 5 indexed citations
7.
Ahmed, Anwer S., et al.. (2019). Accounting Comparability and the Mispricing of Asset Growth, Accruals and Earnings. SSRN Electronic Journal. 2 indexed citations
8.
Lobo, Gerald J., et al.. (2018). Accounting comparability and relative performance evaluation in CEO compensation. Review of Accounting Studies. 23(3). 1137–1176. 25 indexed citations
9.
Lobo, Gerald J., et al.. (2017). Accounting Comparability and Relative Performance Evaluation in CEO Compensation. SSRN Electronic Journal. 10 indexed citations
10.
Neel, Michael. (2016). Accounting Comparability and Economic Outcomes of Mandatory IFRS Adoption. Contemporary Accounting Research. 34(1). 658–690. 99 indexed citations
11.
Neel, Michael. (2013). Accounting Comparability and Economic Outcomes of Mandatory IFRS Adoption. SSRN Electronic Journal. 25 indexed citations
12.
Ahmed, Anwer S., Michael Neel, & Dechun Wang. (2012). Does Mandatory Adoption of IFRS Improve Accounting Quality? Preliminary Evidence. Contemporary Accounting Research. 30(4). 1344–1372. 519 indexed citations breakdown →
13.
Ahmed, Anwer S., Michael Neel, & Dechun Wang. (2011). Does Mandatory Adoption of IFRS improve Accounting Quality? Preliminary Evidence. SSRN Electronic Journal. 140 indexed citations
14.
McAnally, Mary Lea, Michael Neel, Doctoral Student, & Lynn Rees. (2010). CEO Incentives and Downside Risk. 3 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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