Martin T. Wells
- Accounting top 0.5%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 55
- Statistical Methods and Bayesian Inference 36
- Statistical Distribution Estimation and Applications 26
- Advanced Statistical Methods and Models 22
- Finance top 1%
- Strategy and Management top 2%
- Pharmacy top 1%
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- Law, Economics, and Judicial Systems 37
- Legal and Constitutional Studies 18
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- Jury Decision Making Processes 23
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- Bayesian Methods and Mixture Models 17
- Co-authors
- Theodore EisenbergStefan SundgrenJaney C. PetersonWeijing WangJohn P. AllegranteMary E. CharlsonDominique FourdrinierRenee Santoro
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)Circulation (1 paper)
- Partner nations
- United StatesFranceTaiwan
In The Last Decade
Martin T. Wells
234 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Accounting 1.6k
- Statistics and Probability 969
- Finance 682
- Strategy and Management 598
- Pharmacy 186
Countries citing papers authored by Martin T. Wells
This map shows the geographic impact of Martin T. Wells'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 Martin T. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin T. Wells more than expected).
Fields of papers citing papers by Martin T. Wells
This network shows the impact of papers produced by Martin T. Wells. 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 Martin T. Wells. The network helps show where Martin T. Wells may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin T. Wells, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2018 | 11 | |
| 7 | 2014 | 102 | |
| 8 | AIC and Cp as estimators of loss for spherically symmetric distributions | 2013 | 3 |
| 9 | A Bayesian Analysis of Return Dynamics with Lévy Jumps | 2008 | 6 |
| 10 | The Significant Association between Punitive and Compensatory Damages in Blockbuster Cases: A Methodological Primer | 2007 | 2 |
| 11 | Larger Board Size, Decreasing Firm Value, and Increasing Firm Solvency | 2006 | 3 |
| 12 | 2003 | 8 | |
| 13 | Juries, Judges, and Punitive Damages: An Empirical Study | 2002 | 25 |
| 14 | Inbreeding in Law School Hiring: Assessing the Performance of Faculty Hired from within | 2001 | 4 |
| 15 | Forecasting Life and Death: Juror Race, Religion, and Attitude Toward the Death Penalty | 2001 | 1 |
| 16 | 2000 | 170 | |
| 17 | 1998 | 23 | |
| 18 | 1997 | 12 | |
| 19 | The Predictability of Punitive Damages | 1997 | 5 |
| 20 | 1996 | 25 |
About Martin T. Wells
Martin T. Wells is a scholar working on Statistics and Probability, Law and Computational Mathematics, having authored 251 papers that have together received 7.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (55 papers), Law, Economics, and Judicial Systems (37 papers), Statistical Methods and Bayesian Inference (36 papers), Statistical Distribution Estimation and Applications (26 papers), Jury Decision Making Processes (23 papers), Advanced Statistical Methods and Models (22 papers), Legal and Constitutional Studies (18 papers) and Bayesian Methods and Mixture Models (17 papers). The work is most often cited by research in Accounting (1.6k citations), Statistics and Probability (969 citations) and Finance (682 citations). Martin T. Wells has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Theodore Eisenberg, Stefan Sundgren, Janey C. Peterson, Weijing Wang, John P. Allegrante, Mary E. Charlson, Dominique Fourdrinier, Renee Santoro, Anthony R. Ingraffea and Xin Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.