Douglas V. DeJong

2.3k total citations
30 papers, 1.3k citations indexed

About

Douglas V. DeJong is a scholar working on Accounting, Management Science and Operations Research and Safety Research. According to data from OpenAlex, Douglas V. DeJong has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Accounting, 14 papers in Management Science and Operations Research and 13 papers in Safety Research. Recurrent topics in Douglas V. DeJong's work include Experimental Behavioral Economics Studies (13 papers), Corporate Finance and Governance (13 papers) and Auditing, Earnings Management, Governance (9 papers). Douglas V. DeJong is often cited by papers focused on Experimental Behavioral Economics Studies (13 papers), Corporate Finance and Governance (13 papers) and Auditing, Earnings Management, Governance (9 papers). Douglas V. DeJong collaborates with scholars based in United States, Netherlands and Australia. Douglas V. DeJong's co-authors include Robert Forsythe, Russell Cooper, Thomas W. Ross, Thomas W. Ross, Andreas Blume, Robert W. Ingram, Geoffrey B. Sprinkle, Russell J. Lundholm, Gerard Mertens and Abe de Jong and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Finance and American Economic Review.

In The Last Decade

Douglas V. DeJong

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Douglas V. DeJong United States	18	726	512	387	348	341	30	1.3k
Marc Knez United States	14	745 1.0×	383 0.7×	470 1.2×	168 0.5×	431 1.3×	18	1.6k
Navin Kartik United States	19	1.0k 1.4×	1.1k 2.2×	473 1.2×	162 0.5×	709 2.1×	45	2.0k
Nick Feltovich Australia	17	757 1.0×	502 1.0×	362 0.9×	80 0.2×	413 1.2×	49	1.3k
John B. Van Huyck United States	17	922 1.3×	671 1.3×	326 0.8×	65 0.2×	674 2.0×	35	1.6k
Francesco Squintani United Kingdom	19	408 0.6×	571 1.1×	246 0.6×	116 0.3×	577 1.7×	38	1.2k
Abdolkarim Sadrieh Germany	18	690 1.0×	270 0.5×	326 0.8×	70 0.2×	379 1.1×	55	1.2k
Kristy L. Towry United States	19	865 1.2×	225 0.4×	231 0.6×	716 2.1×	222 0.7×	45	1.6k
Karl Wärneryd Sweden	16	477 0.7×	388 0.8×	179 0.5×	107 0.3×	475 1.4×	37	884
V. Bhaskar United Kingdom	22	327 0.5×	367 0.7×	335 0.9×	90 0.3×	858 2.5×	68	1.4k
Håkan J. Holm Sweden	15	477 0.7×	88 0.2×	370 1.0×	152 0.4×	273 0.8×	38	1.1k

Countries citing papers authored by Douglas V. DeJong

Since Specialization

Citations

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

Fields of papers citing papers by Douglas V. DeJong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas V. DeJong. 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 Douglas V. DeJong. The network helps show where Douglas V. DeJong may publish in the future.

Co-authorship network of co-authors of Douglas V. DeJong

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas V. DeJong. A scholar is included among the top collaborators of Douglas V. DeJong 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 Douglas V. DeJong. Douglas V. DeJong 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

Jong, Abe de, et al.. (2019). Blockholder Leverage and Payout Policy: Evidence from French Holding Companies. SSRN Electronic Journal. 1 indexed citations

Jong, Abe de, et al.. (2019). Blockholder leverage and payout policy: Evidence from French holding companies. Journal of Business Finance & Accounting. 47(1-2). 253–292. 2 indexed citations

Jong, Abe de, et al.. (2016). Transparency, corporate governance and firm performance in The Netherlands. SHILAP Revista de lepidopterología. 90(7/8). 308–322. 1 indexed citations

DeJong, Douglas V., et al.. (2013). Managers: Their Effects on Accruals and Firm Policies. Journal of Business Finance & Accounting. 40(1-2). 82–114. 89 indexed citations

Jong, Abe de, Peter Roosenboom, Douglas V. DeJong, & Gerard Mertens. (2005). Royal Ahold: A Failure of Corporate Governance. SSRN Electronic Journal. 10 indexed citations

Blume, Andreas, Douglas V. DeJong, & Michael S. Maier. (2004). Learning Strategic Sophistication. SSRN Electronic Journal.

Jong, Abe de, Douglas V. DeJong, Gerard Mertens, & Charles E. Wasley. (2004). The role of self-regulation in corporate governance: evidence and implications from The Netherlands. Journal of Corporate Finance. 11(3). 473–503. 16 indexed citations

Blume, Andreas, et al.. (2002). LEARNING AND EXPERIMENTS: THE BOOTSTRAP TO THE RESCUE. 1 indexed citations

Blume, Andreas, et al.. (2001). Evolution of Communication with Partial Common Interest. Games and Economic Behavior. 37(1). 79–120. 93 indexed citations

10.

Blume, Andreas, et al.. (1998). Experimental evidence on the evolution of the meaning of messages in sender-receiver games : An experiment. American Economic Review. 88(5). 1323–1340. 84 indexed citations

11.

DeJong, Douglas V., Andreas Blume, & George R. Neumann. (1998). Learning in Sender-Receiver Games. Data Archiving and Networked Services (DANS). 2 indexed citations

12.

Cooper, Russell, Douglas V. DeJong, Robert Forsythe, & Thomas W. Ross. (1996). Cooperation without Reputation: Experimental Evidence from Prisoner's Dilemma Games. Games and Economic Behavior. 12(2). 187–218. 283 indexed citations

13.

Balakrishnan, Ramji & Douglas V. DeJong. (1993). The Role of Cost Allocations in the Acquisition and Use of Common Resources*. Contemporary Accounting Research. 9(2). 395–414. 6 indexed citations

14.

Cooper, Russell, Douglas V. DeJong, Robert Forsythe, & Thomas W. Ross. (1991). Forward Induction in the Battle of Sexes Games. American Economic Review. 83(5). 1303–1316. 91 indexed citations

15.

Cooper, Russell, et al.. (1989). COMMUNICATION IN THE BATTLE OF THE SEXES GAME. RePEc: Research Papers in Economics. 22 indexed citations

16.

Cooper, Russell, Douglas V. DeJong, Robert Forsythe, & Thomas W. Ross. (1989). Communication in the Battle of the Sexes Game: Some Experimental Results. The RAND Journal of Economics. 20(4). 568–568. 217 indexed citations

17.

DeJong, Douglas V., Robert Forsythe, & Russell J. Lundholm. (1985). Ripoffs, Lemons, and Reputation Formation in Agency Relationships: A Laboratory Market Study. The Journal of Finance. 40(3). 809–820. 62 indexed citations

18.

DeJong, Douglas V., et al.. (1985). A Laboratory Investigation of the Moral Hazard Problem in an Agency Relationship. Journal of Accounting Research. 23. 81–81. 34 indexed citations

19.

DeJong, Douglas V.. (1985). Class-action privileges and contingent legal fees: Investor and lawyer incentives to litigate and the effect on audit quality. Journal of Accounting and Public Policy. 4(3). 175–200. 10 indexed citations

20.

DeJong, Douglas V., et al.. (1985). The Methodology of Laboratory Markets and Its Implications for Agency Research in Accounting and Auditing. Journal of Accounting Research. 23(2). 753–753. 17 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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