Kenneth M. Gaver

2.9k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Kenneth M. Gaver is a scholar working on Accounting, Economics and Econometrics and Finance. According to data from OpenAlex, Kenneth M. Gaver has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Accounting, 6 papers in Economics and Econometrics and 5 papers in Finance. Recurrent topics in Kenneth M. Gaver's work include Auditing, Earnings Management, Governance (7 papers), Corporate Finance and Governance (6 papers) and Financial Markets and Investment Strategies (4 papers). Kenneth M. Gaver is often cited by papers focused on Auditing, Earnings Management, Governance (7 papers), Corporate Finance and Governance (6 papers) and Financial Markets and Investment Strategies (4 papers). Kenneth M. Gaver collaborates with scholars based in United States. Kenneth M. Gaver's co-authors include Jennifer J. Gaver, Linda Smith Bamber, Theodore E. Christensen, Paul Copley, Jerold L. Zimmerman, Dan Horsky and Chakravarthi Narasimhan and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Accounting and Economics.

In The Last Decade

Kenneth M. Gaver

18 papers receiving 2.0k citations

Hit Papers

Additional evidence on th... 1993 2026 2004 2015 1993 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth M. Gaver United States 12 2.0k 1.1k 638 329 123 18 2.2k
Merle Erickson United States 20 2.8k 1.4× 979 0.9× 726 1.1× 683 2.1× 96 0.8× 37 3.0k
Joseph Aharony Israel 20 2.7k 1.4× 1.1k 1.1× 1.5k 2.3× 584 1.8× 53 0.4× 36 3.2k
Joseph Gerakos United States 20 1.6k 0.8× 596 0.6× 1.1k 1.7× 445 1.4× 83 0.7× 59 2.0k
Stephen Stubben United States 20 2.2k 1.1× 1.1k 1.1× 767 1.2× 322 1.0× 118 1.0× 39 2.4k
Norman Strong United Kingdom 23 1.5k 0.8× 757 0.7× 1.3k 2.0× 530 1.6× 61 0.5× 71 2.0k
Andrew Christie United States 8 1.3k 0.6× 659 0.6× 2.0k 3.2× 1.4k 4.2× 109 0.9× 9 2.9k
Chad R. Larson United States 9 2.0k 1.0× 936 0.9× 705 1.1× 211 0.6× 143 1.2× 18 2.2k
Mary Harris Stanford United States 16 2.1k 1.1× 1.1k 1.1× 830 1.3× 263 0.8× 196 1.6× 25 2.3k
H.Y. Izan Australia 16 1.2k 0.6× 730 0.7× 356 0.6× 389 1.2× 77 0.6× 43 1.6k
James M. Patell United States 8 1.7k 0.9× 642 0.6× 1.6k 2.5× 589 1.8× 88 0.7× 11 2.4k

Countries citing papers authored by Kenneth M. Gaver

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth M. Gaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth M. Gaver

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

All Works

18 of 18 papers shown
1.
Bamber, Linda Smith, Theodore E. Christensen, & Kenneth M. Gaver. (2000). Do we really ‘know’ what we think we know? A case study of seminal research and its subsequent overgeneralization. Accounting Organizations and Society. 25(2). 103–129. 114 indexed citations
2.
Bamber, Linda Smith, Theodore E. Christensen, & Kenneth M. Gaver. (2000). Do We Really 'Know' What We Think We Know? A Case Study of Seminal Research and its Subsequent Overgeneralization. SSRN Electronic Journal. 38 indexed citations
3.
Gaver, Jennifer J., et al.. (1999). The Association Between Stock Splits and Post-Earnings Announcement Drift. SSRN Electronic Journal. 3 indexed citations
4.
Gaver, Jennifer J. & Kenneth M. Gaver. (1998). The relation between nonrecurring accounting transactions and CEO cash compensation.. The Accounting Review. 73(2). 235–253. 225 indexed citations
5.
Gaver, Jennifer J. & Kenneth M. Gaver. (1997). The Market Reaction to Changes in Compensation Contracts: A Review of the Evidence. Managerial Finance. 23(5). 3–17. 1 indexed citations
6.
Copley, Paul, Jennifer J. Gaver, & Kenneth M. Gaver. (1995). Simultaneous Estimation of the Supply and Demand of Differentiated Audits: Evidence from the Municipal Audit Market. Journal of Accounting Research. 33(1). 137–137. 101 indexed citations
7.
Gaver, Kenneth M., et al.. (1995). Free Cash Flow in the Life Insurance Industry. Journal of Risk & Insurance. 62(1). 50–50. 46 indexed citations
8.
Gaver, Jennifer J. & Kenneth M. Gaver. (1995). Compensation Policy and the Investment Opportunity Set. Financial Management. 24(1). 19–19. 40 indexed citations
9.
Gaver, Jennifer J. & Kenneth M. Gaver. (1995). Simultaneous estimation of the demand and supply of differentiated audits. Review of Quantitative Finance and Accounting. 5(1). 55–70. 14 indexed citations
10.
Gaver, Jennifer J., et al.. (1995). Additional evidence on bonus plans and income management. Journal of Accounting and Economics. 19(1). 3–28. 474 indexed citations
11.
Gaver, Jennifer J. & Kenneth M. Gaver. (1993). The association between performance plan adoption and corporate capital investment: A note. Journal of Management Accounting Research. 145–158. 12 indexed citations
12.
Gaver, Jennifer J. & Kenneth M. Gaver. (1993). Additional evidence on the association between the investment opportunity set and corporate. Journal of Accounting and Economics. 16(1). 126–161. 3 indexed citations
13.
Gaver, Jennifer J. & Kenneth M. Gaver. (1993). Additional evidence on the association between the investment opportunity set and corporate financing, dividend, and compensation policies. Journal of Accounting and Economics. 16(1-3). 125–160. 1040 indexed citations breakdown →
14.
Gaver, Kenneth M., Dan Horsky, & Chakravarthi Narasimhan. (1988). Invariant Estimators for Market Share Systems and their Finite Sample Behavior. Marketing Science. 7(2). 169–186. 6 indexed citations
15.
Gaver, Kenneth M.. (1980). Comments on "Econometric Models for Probabilistic Choice Among Products". The Journal of Business. 53(S3). S35–S35. 2 indexed citations
16.
Gaver, Kenneth M. & Jerold L. Zimmerman. (1977). An Analysis of Competitive Bidding on BART Contracts. The Journal of Business. 50(3). 279–279. 31 indexed citations
17.
Gaver, Kenneth M., et al.. (1976). Discriminating among Linear Models with Interdependent Disturbances. Econometrica. 44(2). 337–337. 3 indexed citations
18.
Gaver, Kenneth M., et al.. (1973). Posterior Probabilities of Alternative Linear Models.. Journal of the American Statistical Association. 68(342). 497–497. 75 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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