J. David Cummins

12.5k total citations
202 papers, 7.6k citations indexed

About

J. David Cummins is a scholar working on Economics and Econometrics, Demography and Finance. According to data from OpenAlex, J. David Cummins has authored 202 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Economics and Econometrics, 78 papers in Demography and 53 papers in Finance. Recurrent topics in J. David Cummins's work include Insurance and Financial Risk Management (165 papers), Insurance, Mortality, Demography, Risk Management (78 papers) and Banking stability, regulation, efficiency (39 papers). J. David Cummins is often cited by papers focused on Insurance and Financial Risk Management (165 papers), Insurance, Mortality, Demography, Risk Management (78 papers) and Banking stability, regulation, efficiency (39 papers). J. David Cummins collaborates with scholars based in United States, Belgium and United Kingdom. J. David Cummins's co-authors include Mary A. Weiss, Hongmin Zi, Richard D. Phillips, Xiaoying Xie, Patricia M. Danzon, Sharon Tennyson, Chris Lewis, Neil A. Doherty, Allen N. Berger and María Rubio‐Misas and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and PLoS ONE.

In The Last Decade

J. David Cummins

196 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. David Cummins United States 47 6.5k 2.8k 2.6k 1.9k 1.1k 202 7.6k
Miles Kimball United States 22 3.7k 0.6× 461 0.2× 1.2k 0.5× 1.6k 0.9× 333 0.3× 65 5.5k
Harris Schlesinger United States 30 2.4k 0.4× 560 0.2× 656 0.2× 616 0.3× 903 0.8× 91 3.5k
Pierre‐André Chiappori United States 38 4.1k 0.6× 1.8k 0.6× 637 0.2× 1.9k 1.0× 467 0.4× 133 8.1k
Nils H. Hakansson United States 25 2.7k 0.4× 340 0.1× 2.2k 0.8× 968 0.5× 1.0k 0.9× 54 4.6k
Kevin Dowd United Kingdom 41 2.7k 0.4× 4.4k 1.6× 1.8k 0.7× 1.2k 0.7× 1.2k 1.1× 194 6.7k
Kenneth Froot United States 36 6.0k 0.9× 318 0.1× 6.0k 2.3× 4.4k 2.3× 589 0.5× 94 10.2k
Louis Eeckhoudt France 30 2.4k 0.4× 298 0.1× 624 0.2× 604 0.3× 882 0.8× 155 3.8k
Agnar Sandmo Norway 29 6.5k 1.0× 217 0.1× 532 0.2× 3.0k 1.6× 324 0.3× 82 7.5k
Menahem E. Yaari Israel 16 3.2k 0.5× 1.1k 0.4× 849 0.3× 1.3k 0.7× 1.2k 1.1× 23 4.8k
Bernard Salanié United States 29 2.2k 0.3× 457 0.2× 413 0.2× 582 0.3× 567 0.5× 72 3.3k

Countries citing papers authored by J. David Cummins

Since Specialization
Citations

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

Fields of papers citing papers by J. David Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Cummins. 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 J. David Cummins. The network helps show where J. David Cummins may publish in the future.

Co-authorship network of co-authors of J. David Cummins

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

All Works

20 of 20 papers shown
1.
Cummins, J. David, et al.. (2024). An implicit measure of growth mindset uniquely predicts post-failure learning behavior. Scientific Reports. 14(1). 3761–3761. 2 indexed citations
2.
Cummins, J. David, Kate Faasse, Suzanne G. Helfer, & Andrew L. Geers. (2024). The development of an implicit measure of treatment expectations. The Journal of Social Psychology. 166(2). 137–153.
3.
Dessel, Pieter Van, J. David Cummins, & Reínout W. Wiers. (2023). ABC‐training as a new intervention for hazardous alcohol drinking: Two proof‐of‐principle randomized pilot studies. Addiction. 118(11). 2141–2155. 9 indexed citations
4.
Cummins, J. David, et al.. (2023). How to Build and How not to Build an Implicit Measure in Behavior Analysis: A case Study Using the Function Acquisition Speed Test. Perspectives on Behavior Science. 46(3-4). 459–492. 2 indexed citations
5.
Dessel, Pieter Van, et al.. (2022). Do evaluation and self-identification relate to self-reported and actual social media use?. Journal of Behavioral Addictions. 11(2). 557–566. 3 indexed citations
6.
Berry‐Stölzle, Thomas R., et al.. (2019). Enterprise risk management and economies of scale and scope: evidence from the German insurance industry. Annals of Operations Research. 299(1-2). 811–845. 22 indexed citations
7.
Cummins, J. David, et al.. (2018). The Reinsurance Network Among U.S. Property–Casualty Insurers: Microstructure, Insolvency Risk, and Contagion. Journal of Risk & Insurance. 87(2). 253–284. 14 indexed citations
8.
Cummins, J. David & Mary A. Weiss. (2014). Systemic Risk and The U.S. Insurance Sector. Journal of Risk & Insurance. 81(3). 489–528. 124 indexed citations
9.
10.
Cummins, J. David, et al.. (2009). Securitization, Insurance, and Reinsurance. Journal of Risk & Insurance. 76(3). 463–492. 102 indexed citations
11.
Cummins, J. David & Olivier Mahul. (2008). Catastrophe Risk Financing in Developing Countries : Principles for Public Intervention. World Bank Publications. 41 indexed citations
12.
Cummins, J. David. (2003). Optimal Capital Utilization by Financial Firms: Evidence from the Property-Liability Insurance Industry. ScholarlyCommons (University of Pennsylvania). 35 indexed citations
13.
Cummins, J. David & Neil A. Doherty. (2003). Capitalization of the Property-Liability Insurance Industry: Overview. SSRN Electronic Journal. 3 indexed citations
14.
Cummins, J. David, et al.. (2000). The Basis Risk of Catastrophic-Loss Index Securities. SSRN Electronic Journal. 18 indexed citations
15.
Cummins, J. David, Chris Lewis, & Richard D. Phillips. (1999). Pricing Excess-of-Loss Reinsurance Contracts against Cat as trophic Loss. NBER Chapters. 93–148. 33 indexed citations
16.
Cummins, J. David & Hélyette Geman. (1998). An Asian Option Approach to the Valuation of Insurance Futures Contracts. SSRN Electronic Journal. 21 indexed citations
17.
Cummins, J. David, Chris Lewis, & Richard D. Phillips. (1998). Pricing Excess-of-Loss Reinsurance Contracts Against Catastrophic Loss. SSRN Electronic Journal. 93–148. 3 indexed citations
18.
Berger, Allen N., J. David Cummins, & Mary A. Weiss. (1998). The coexistence of multiple distribution systems for financial services: the case of property-liability insurance. Scholar Commons (University of South Carolina). 4 indexed citations
19.
Cummins, J. David & Richard A. Derrig. (1997). Fuzzy Financial Pricing of Property-Liability Insurance. North American Actuarial Journal. 1(4). 21–40. 34 indexed citations
20.
Phillips, Richard D., J. David Cummins, & Franklin Allen. (1996). Financial Pricing of Insurance in Multiple Line Insurance Companies. SSRN Electronic Journal. 4 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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