Benjamin King
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
Papers in
-
- Advanced Statistical Methods and Models 2
- Statistical Methods and Bayesian Inference 2
- Census and Population Estimation 2
- Statistical Methods in Clinical Trials 1
- Co-authors
- Gordon M. Kaufman (2 shared papers)Martin Frankel (1 shared paper)Lee E. Preston (1 shared paper)
- Journals
- Journal of the American Statistical Association (4 papers)Journal of Military Ethics (1 paper)Statistical Science (1 paper)The Antitrust Bulletin (1 paper)Kritike An Online Journal of Philosophy (1 paper)
- Partner nations
- United StatesThailand
In The Last Decade
Benjamin King
6 papers receiving 279 citations
Peers
Comparison fields: 5 of 92
- Signal Processing 65
- Artificial Intelligence 167
- Statistics and Probability 32
- Computer Vision and Pattern Recognition 69
- Statistical and Nonlinear Physics 33
Countries citing papers authored by Benjamin King
This map shows the geographic impact of Benjamin King'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 Benjamin King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin King more than expected).
Fields of papers citing papers by Benjamin King
This network shows the impact of papers produced by Benjamin King. 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 Benjamin King. The network helps show where Benjamin King may publish in the future.
Co-authors
The 3 scholars most cited alongside Benjamin King, 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 | 1967 | 263 | |
| 2 | 1973 | 19 | |
| 3 | 1972 | 17 | |
| 4 | 1996 | 10 | |
| 5 | 1973 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 1979 | 1 | |
| 8 | 2020 | 0 |
About Benjamin King
Benjamin King is a scholar working on Statistics and Probability, Philosophy, Political Science and International Relations, Statistics, Probability and Uncertainty and Finance, having authored 8 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers), Statistical Methods and Bayesian Inference (2 papers), Census and Population Estimation (2 papers), Statistical Methods in Clinical Trials (1 paper), Advanced Statistical Process Monitoring (1 paper), Free Will and Agency (1 paper), Financial Risk and Volatility Modeling (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Signal Processing (65 citations), Artificial Intelligence (167 citations), Statistics and Probability (32 citations), Computer Vision and Pattern Recognition (69 citations) and Statistical and Nonlinear Physics (33 citations). Benjamin King has collaborated with scholars based in United States and Thailand. Frequent co-authors include Gordon M. Kaufman, Martin Frankel and Lee E. Preston. Their work appears in journals such as Journal of the American Statistical Association, Journal of Military Ethics, Statistical Science, The Antitrust Bulletin and Kritike An Online Journal of Philosophy.
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.