Joshua Lee

1.9k total citations · 1 hit paper
42 papers, 1.2k citations indexed

About

Joshua Lee is a scholar working on Accounting, Finance and Economics and Econometrics. According to data from OpenAlex, Joshua Lee has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Accounting, 21 papers in Finance and 8 papers in Economics and Econometrics. Recurrent topics in Joshua Lee's work include Auditing, Earnings Management, Governance (27 papers), Financial Markets and Investment Strategies (14 papers) and Corporate Finance and Governance (12 papers). Joshua Lee is often cited by papers focused on Auditing, Earnings Management, Governance (27 papers), Financial Markets and Investment Strategies (14 papers) and Corporate Finance and Governance (12 papers). Joshua Lee collaborates with scholars based in United States, United Kingdom and China. Joshua Lee's co-authors include Xiumin Martin, Guofu Zhou, Fuwei Jiang, Jared N. Jennings, Richard M. Frankel, John Donovan, Dawn A. Matsumoto, Daniel J. Taylor, Hojun Seo and Kevin Koharki and has published in prestigious journals such as Journal of Financial Economics, Management Science and Genetics.

In The Last Decade

Joshua Lee

41 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Manager sentiment and stock returns

2018 457 citations Fuwei Jiang, Joshua Lee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua Lee United States	14	688	575	368	228	224	42	1.2k
Paul Barnes United Kingdom	19	758 1.1×	417 0.7×	316 0.9×	161 0.7×	295 1.3×	59	1.2k
Russell Jame United States	16	914 1.3×	861 1.5×	258 0.7×	140 0.6×	146 0.7×	36	1.3k
Thomas Mariotti France	15	378 0.5×	625 1.1×	899 2.4×	366 1.6×	121 0.5×	42	1.4k
Patrick Verwijmeren Netherlands	22	1.3k 1.9×	1.0k 1.8×	520 1.4×	162 0.7×	522 2.3×	98	1.9k
Baolian Wang United States	11	509 0.7×	515 0.9×	448 1.2×	105 0.5×	276 1.2×	41	1.0k
Casey Dougal United States	9	486 0.7×	464 0.8×	378 1.0×	86 0.4×	112 0.5×	14	844
Alberto G. Rossi United States	16	471 0.7×	710 1.2×	744 2.0×	148 0.6×	71 0.3×	47	1.2k
Emre Ozdenoren United Kingdom	14	182 0.3×	326 0.6×	519 1.4×	322 1.4×	68 0.3×	38	1.0k
Arthur G. Korteweg United States	18	890 1.3×	589 1.0×	412 1.1×	90 0.4×	170 0.8×	42	1.3k

Countries citing papers authored by Joshua Lee

Since Specialization

Citations

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

Fields of papers citing papers by Joshua Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Lee. A scholar is included among the top collaborators of Joshua Lee 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 Joshua Lee. Joshua Lee 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

Lee, Joshua, et al.. (2024). IRS Enforcement and Voluntary Tax Disclosure. Journal of the American Taxation Association. 47(1). 85–119. 1 indexed citations

Christensen, Dane M., et al.. (2023). Corporate Political Activism and Information Transfers. The Accounting Review. 99(3). 87–113. 3 indexed citations

Jennings, Jared N., et al.. (2023). Measurement error, fixed effects, and false positives in accounting research. Review of Accounting Studies. 29(2). 959–995. 52 indexed citations

Christensen, Theodore E., et al.. (2023). Data visualization in 10-K filings. Journal of Accounting and Economics. 77(2-3). 101631–101631. 12 indexed citations

Green, Jeremiah, et al.. (2023). Ethnic Minority Analysts’ Participation in Public Earnings Conference Calls. Journal of Accounting Research. 61(5). 1591–1631. 7 indexed citations

Call, Andrew C., et al.. (2023). Managers’ use of humor on public earnings conference calls. Review of Accounting Studies. 29(3). 2650–2687. 17 indexed citations

Christensen, Dane M., et al.. (2023). Corporate Political Activism and Information Transfers. SSRN Electronic Journal. 3 indexed citations

Lee, Joshua, Prasanna Sattigeri, Rameswar Panda, et al.. (2022). A Maximal Correlation Framework for Fair Machine Learning. Entropy. 24(4). 461–461. 2 indexed citations

Bhat, Gauri, Joshua Lee, & Stephen G. Ryan. (2021). Using Loan Loss Indicators by Loan Type to Sharpen the Evaluation of Banks' Loan Loss Accruals. Accounting Horizons. 35(3). 69–91. 15 indexed citations

10.

Frankel, Richard M., Jared N. Jennings, & Joshua Lee. (2021). Disclosure Sentiment: Machine Learning vs. Dictionary Methods. Management Science. 68(7). 5514–5532. 15 indexed citations

11.

Donovan, John, Jared N. Jennings, Kevin Koharki, & Joshua Lee. (2021). Measuring credit risk using qualitative disclosure. Review of Accounting Studies. 26(2). 815–863. 51 indexed citations

12.

Lee, Joshua, et al.. (2020). The Relative Importance of Tax Reporting Complexity and IRS Scrutiny in Voluntary Tax Disclosure Decisions. SSRN Electronic Journal. 2 indexed citations

13.

Green, Jeremiah, et al.. (2020). A Level Playing Field? Empirical Evidence That Ethnic Minority Analysts Face Unequal Access to Corporate Managers. SSRN Electronic Journal. 7 indexed citations

14.

Call, Andrew C., et al.. (2019). Analysts’ and Managers’ Use of Humor on Public Earnings Conference Calls. SSRN Electronic Journal. 4 indexed citations

15.

Donovan, John, Jared N. Jennings, Kevin Koharki, & Joshua Lee. (2018). Determining Credit Risk Using Qualitative Disclosure. SSRN Electronic Journal. 6 indexed citations

16.

Lee, Joshua, et al.. (2017). Let's Talk About Tax: The Determinants and Consequences of Income Tax Mentions During Conference Calls. SSRN Electronic Journal. 10 indexed citations

17.

Jiang, Fuwei, Joshua Lee, Xiumin Martin, & Guofu Zhou. (2017). Manager Sentiment and Stock Returns. SSRN Electronic Journal. 7 indexed citations

18.

Frankel, Richard M., Jared N. Jennings, & Joshua Lee. (2016). Using unstructured and qualitative disclosures to explain accruals. Journal of Accounting and Economics. 62(2-3). 209–227. 67 indexed citations

19.

Donovan, John, Richard M. Frankel, Joshua Lee, Xiumin Martin, & Hojun Seo. (2014). Issues Raised by Studying DeFond and Zhang - What Should Audit Researchers Do?. SSRN Electronic Journal. 21 indexed citations

20.

Frankel, Richard M., Joshua Lee, & Xiumin Martin. (2013). Factors Associated with Bank Deregistration Following the 2012 Jobs Act. SSRN Electronic Journal. 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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