Ryan Martin
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
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- Probabilistic and Robust Engineering Design
Papers in
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- Statistical Methods and Inference 24
- Statistical Methods and Bayesian Inference 20
- Advanced Statistical Methods and Models 8
- Statistical Distribution Estimation and Applications 6
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- Bayesian Methods and Mixture Models 21
- Bayesian Modeling and Causal Inference 20
- Gaussian Processes and Bayesian Inference 6
- Co-authors
- Chuanhai Liu (9 shared papers)Liang Hong (6 shared papers)Jianchun Zhang (1 shared paper)Surya T. Tokdar (2 shared papers)Zhe Wang (1 shared paper)Zhen Yu Han (1 shared paper)Emily C. Hector (1 shared paper)Xu Gao (1 shared paper)
- Journals
- International Journal of Approximate Reasoning (7 papers)Electronic Journal of Statistics (5 papers)Journal of Statistical Planning and Inference (4 papers)Journal of the American Statistical Association (3 papers)North American Actuarial Journal (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ryan Martin
58 papers receiving 531 citations
Peers
Comparison fields: 5 of 66
- Statistics and Probability 338
- Statistics, Probability and Uncertainty 83
- Artificial Intelligence 330
- Management Science and Operations Research 97
- Statistical and Nonlinear Physics 35
Countries citing papers authored by Ryan Martin
This map shows the geographic impact of Ryan Martin'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 Ryan Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Martin more than expected).
Fields of papers citing papers by Ryan Martin
This network shows the impact of papers produced by Ryan Martin. 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 Ryan Martin. The network helps show where Ryan Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Martin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 51 | |
| 2 | Dempster-Shafer theory and statistical inference with weak beliefs | 2008 | 49 |
| 3 | 2014 | 38 | |
| 4 | 2019 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2014 | 24 | |
| 8 | 2014 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2009 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2017 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2015 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 9 |
About Ryan Martin
Ryan Martin is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Finance, having authored 62 papers that have together received 567 indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Bayesian Methods and Mixture Models (21 papers), Statistical Methods and Bayesian Inference (20 papers), Bayesian Modeling and Causal Inference (20 papers), Advanced Statistical Methods and Models (8 papers), Gaussian Processes and Bayesian Inference (6 papers), Statistical Distribution Estimation and Applications (6 papers) and Multi-Criteria Decision Making (5 papers). The work is most often cited by research in Statistics and Probability (338 citations), Statistics, Probability and Uncertainty (83 citations), Artificial Intelligence (330 citations), Management Science and Operations Research (97 citations) and Statistical and Nonlinear Physics (35 citations). Ryan Martin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Chuanhai Liu, Liang Hong, Jianchun Zhang, Surya T. Tokdar, Zhe Wang, Zhen Yu Han, Emily C. Hector, Xu Gao, Michael Hanss and Subhashis Ghosal. Their work appears in journals such as International Journal of Approximate Reasoning, Electronic Journal of Statistics, Journal of Statistical Planning and Inference, Journal of the American Statistical Association and North American Actuarial Journal.
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.