M. Chapman Findlay

76 total papers · 781 total citations
55 papers, 550 citations indexed

About

M. Chapman Findlay is a scholar working on Finance, Economics and Econometrics and Accounting. According to data from OpenAlex, M. Chapman Findlay has authored 55 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Finance, 22 papers in Economics and Econometrics and 20 papers in Accounting. Recurrent topics in M. Chapman Findlay's work include Financial Markets and Investment Strategies (17 papers), Auditing, Earnings Management, Governance (10 papers) and Financial Reporting and Valuation Research (9 papers). M. Chapman Findlay is often cited by papers focused on Financial Markets and Investment Strategies (17 papers), Auditing, Earnings Management, Governance (10 papers) and Financial Reporting and Valuation Research (9 papers). M. Chapman Findlay collaborates with scholars based in United States, Canada and Cuba. M. Chapman Findlay's co-authors include G. À. Whitmore, Dennis R. Capozza, Tamir Agmon, Terence C. Langetieg, James R. Thompson, Arthur L. Schwartz, Victor A. Canto, David Dale‐Johnson, Elko J. Kleinschmidt and Marc R. Reinganum and has published in prestigious journals such as The Journal of Finance, Journal of Financial and Quantitative Analysis and Omega.

In The Last Decade

M. Chapman Findlay

49 papers receiving 436 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Chapman Findlay	275	246	177	114	98	55	550
W. Scott Bauman	182 0.7×	348 1.4×	285 1.6×	90 0.8×	113 1.2×	35	517
Maximilian Wimmer	236 0.9×	262 1.1×	106 0.6×	191 1.7×	173 1.8×	24	565
Bertil Näslund	154 0.6×	199 0.8×	61 0.3×	162 1.4×	79 0.8×	36	496
David N. Nawrocki	244 0.9×	382 1.6×	72 0.4×	235 2.1×	52 0.5×	32	575
Andreas Park	275 1.0×	379 1.5×	207 1.2×	113 1.0×	59 0.6×	41	580
Steinar Ekern	440 1.6×	308 1.3×	65 0.4×	140 1.2×	63 0.6×	21	600
Yehuda Izhakian	325 1.2×	393 1.6×	126 0.7×	77 0.7×	43 0.4×	43	575
Markus Rudolf	236 0.9×	273 1.1×	84 0.5×	120 1.1×	35 0.4×	42	534
Elizabeth Sheedy	192 0.7×	214 0.9×	217 1.2×	27 0.2×	64 0.7×	43	470
Leonard C. MacLean	303 1.1×	327 1.3×	39 0.2×	173 1.5×	25 0.3×	43	562

Countries citing papers authored by M. Chapman Findlay

Since Specialization

Citations

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

Fields of papers citing papers by M. Chapman Findlay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Chapman Findlay. 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 M. Chapman Findlay. The network helps show where M. Chapman Findlay may publish in the future.

Co-authorship network of co-authors of M. Chapman Findlay

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

All Works

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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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