Chad R. Larson

3.1k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Chad R. Larson is a scholar working on Accounting, Strategy and Management and Finance. According to data from OpenAlex, Chad R. Larson has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Accounting, 9 papers in Strategy and Management and 7 papers in Finance. Recurrent topics in Chad R. Larson's work include Auditing, Earnings Management, Governance (14 papers), Financial Reporting and Valuation Research (8 papers) and Financial Markets and Investment Strategies (6 papers). Chad R. Larson is often cited by papers focused on Auditing, Earnings Management, Governance (14 papers), Financial Reporting and Valuation Research (8 papers) and Financial Markets and Investment Strategies (6 papers). Chad R. Larson collaborates with scholars based in United States, Austria and Singapore. Chad R. Larson's co-authors include Richard G. Sloan, Patricia Dechow, Weili Ge, Theodore E. Christensen, Ervin L. Black, Nilabhra Bhattacharya, Eric J. Allen, Neil Bhattacharya, Peter R. Demerjian and John Donovan and has published in prestigious journals such as Management Science, Journal of Accounting and Economics and Journal of Accounting Research.

In The Last Decade

Chad R. Larson

17 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Predicting Material Accounting Misstatements*

2011 1.3k citations Patricia Dechow, Weili Ge et al. Contemporary Accounting Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chad R. Larson United States	9	2.0k	936	705	211	167	18	2.2k
Stephen Brown United States	16	2.3k 1.2×	1.1k 1.2×	1.2k 1.7×	317 1.5×	66 0.4×	27	2.7k
Miguel Minutti‐Meza United States	17	2.1k 1.1×	749 0.8×	560 0.8×	294 1.4×	40 0.2×	42	2.4k
Bok Baik South Korea	17	1.4k 0.7×	544 0.6×	662 0.9×	376 1.8×	70 0.4×	56	1.7k
Susan Shu United States	14	1.7k 0.9×	672 0.7×	897 1.3×	327 1.5×	34 0.2×	22	2.1k
Alastair Lawrence United States	17	1.9k 0.9×	669 0.7×	731 1.0×	218 1.0×	33 0.2×	36	2.1k
Ian D. Gow United States	14	2.3k 1.1×	927 1.0×	959 1.4×	349 1.7×	39 0.2×	40	2.6k
Kevin C. W. Chen Hong Kong	20	2.0k 1.0×	781 0.8×	689 1.0×	250 1.2×	42 0.3×	36	2.2k
Elizabeth Blankespoor United States	18	1.5k 0.8×	451 0.5×	973 1.4×	311 1.5×	50 0.3×	36	2.0k
Jonathan L. Rogers United States	15	2.0k 1.0×	591 0.6×	1.3k 1.8×	263 1.2×	32 0.2×	23	2.2k
Mei Feng United States	17	2.1k 1.0×	747 0.8×	893 1.3×	237 1.1×	22 0.1×	29	2.3k

Countries citing papers authored by Chad R. Larson

Since Specialization

Citations

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

Fields of papers citing papers by Chad R. Larson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad R. Larson. 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 Chad R. Larson. The network helps show where Chad R. Larson may publish in the future.

Co-authorship network of co-authors of Chad R. Larson

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

All Works

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18 of 18 papers shown

Dechow, Patricia, et al.. (2021). The Effect of Accrual Heterogeneity on Accrual Quality Inferences. The Accounting Review. 97(5). 245–273. 2 indexed citations

Dechow, Patricia, et al.. (2019). Discretion Lost? Accrual Heterogeneity and Implications for Accrual Quality Inferences. SSRN Electronic Journal. 2 indexed citations

Larson, Chad R., et al.. (2018). Defining, measuring, and modeling accruals: a guide for researchers. Review of Accounting Studies. 23(3). 827–871. 61 indexed citations

Larson, Chad R., et al.. (2017). Types of investor uncertainty and the cost of equity capital. Journal of Business Finance & Accounting. 44(9-10). 1169–1193. 7 indexed citations

Larson, Chad R., et al.. (2017). Defining, Measuring and Modeling Accruals: A Guide for Researchers. SSRN Electronic Journal. 19 indexed citations

Demerjian, Peter R., John Donovan, & Chad R. Larson. (2016). Fair Value Accounting and Debt Contracting: Evidence from Adoption of SFAS 159. Journal of Accounting Research. 54(4). 1041–1076. 37 indexed citations

Larson, Chad R., Danko Turcic, & Fuqiang Zhang. (2015). An Empirical Investigation of Dynamic Ordering Policies. Management Science. 61(9). 2118–2138. 17 indexed citations

Allen, Eric J., Chad R. Larson, & Richard G. Sloan. (2013). Accrual reversals, earnings and stock returns. Journal of Accounting and Economics. 56(1). 113–129. 145 indexed citations

Demerjian, Peter R., John Donovan, & Chad R. Larson. (2013). Fair Value Accounting and Debt Contracting.

10.

Demerjian, Peter R., John Donovan, & Chad R. Larson. (2013). Fair Value Accounting and Debt Contracting. SSRN Electronic Journal. 5 indexed citations

11.

Larson, Chad R., et al.. (2013). Sources of Investor Uncertainty and Expected Stock Returns. SSRN Electronic Journal. 6 indexed citations

12.

Larson, Chad R., Danko Turcic, & Fuqiang Zhang. (2011). Inventory Write-Downs, Sales Growth, and Ordering Policy: An Empirical Investigation. SSRN Electronic Journal. 3 indexed citations

13.

Larson, Chad R., et al.. (2011). How does earnings quality affect the equity market? An alternative measure and a new perspective. 4 indexed citations

14.

Dechow, Patricia, Weili Ge, Chad R. Larson, & Richard G. Sloan. (2011). Predicting Material Accounting Misstatements*. Contemporary Accounting Research. 28(1). 17–82. 1323 indexed citations breakdown →

15.

Allen, Eric J., Chad R. Larson, & Richard G. Sloan. (2010). Accrual Reversals, Earnings and Stock Returns. SSRN Electronic Journal. 42 indexed citations

16.

Bhat, Gauri, Sudarshan Jayaraman, Jeffrey L. Callen, et al.. (2009). Information Asymmetry around Earnings Announcements during the Financial Crisis. 7 indexed citations

17.

Bhattacharya, Neil, Ervin L. Black, Theodore E. Christensen, & Chad R. Larson. (2003). Assessing the Relative Informativeness and Permanence of Pro Forma Earnings and GAAP Operating Earnings. SSRN Electronic Journal. 131 indexed citations

18.

Bhattacharya, Nilabhra, Ervin L. Black, Theodore E. Christensen, & Chad R. Larson. (2003). Assessing the relative informativeness and permanence of pro forma earnings and GAAP operating earnings. Journal of Accounting and Economics. 36(1-3). 285–319. 428 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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