John Gurland
Impact in
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
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- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Distribution Estimation and Applications 35
- Advanced Statistical Methods and Models 26
- Statistical Methods and Bayesian Inference 9
- Statistical Methods in Clinical Trials 5
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- Bayesian Methods and Mixture Models 14
- Co-authors
- Ram C. Tripathi (7 shared papers)Ram C. Dahiya (9 shared papers)J. S. Mehta (6 shared papers)Austin F. S. Lee (3 shared papers)S. K. Katti (3 shared papers)P. Armitage (1 shared paper)Jayaram Sethuraman (2 shared papers)Malcolm E. Turner (1 shared paper)
- Journals
- Journal of the American Statistical Association (18 papers)Biometrika (13 papers)Biometrics (7 papers)The American Statistician (6 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (6 papers)
- Partner nations
- United StatesNigeriaIndia
In The Last Decade
John Gurland
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 157
- Statistics and Probability 885
- Statistics, Probability and Uncertainty 186
- Management Science and Operations Research 268
- Applied Mathematics 145
- Artificial Intelligence 376
Countries citing papers authored by John Gurland
This map shows the geographic impact of John Gurland'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 John Gurland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gurland more than expected).
Fields of papers citing papers by John Gurland
This network shows the impact of papers produced by John Gurland. 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 John Gurland. The network helps show where John Gurland may publish in the future.
Co-authors
The 20 scholars most cited alongside John Gurland, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1957 | 76 | |
| 2 | 1961 | 71 | |
| 3 | 1971 | 68 | |
| 4 | 1955 | 65 | |
| 5 | 1964 | 62 | |
| 6 | 1960 | 57 | |
| 7 | 1975 | 55 | |
| 8 | 1958 | 55 | |
| 9 | 1965 | 50 | |
| 10 | 1956 | 47 | |
| 11 | 1972 | 47 | |
| 12 | 1994 | 44 | |
| 13 | 1959 | 38 | |
| 14 | 1968 | 35 | |
| 15 | 1955 | 34 | |
| 16 | 1961 | 34 | |
| 17 | 1953 | 33 | |
| 18 | 1973 | 33 | |
| 19 | 1960 | 32 | |
| 20 | 1994 | 29 |
About John Gurland
John Gurland is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (35 papers), Advanced Statistical Methods and Models (26 papers), Bayesian Methods and Mixture Models (14 papers), Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Process Monitoring (7 papers), Optimal Experimental Design Methods (7 papers), Mathematical functions and polynomials (6 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Statistics and Probability (885 citations), Statistics, Probability and Uncertainty (186 citations), Management Science and Operations Research (268 citations), Applied Mathematics (145 citations) and Artificial Intelligence (376 citations). John Gurland has collaborated with scholars based in United States, Nigeria and India. Frequent co-authors include Ram C. Tripathi, Ram C. Dahiya, J. S. Mehta, Austin F. S. Lee, S. K. Katti, P. Armitage, Jayaram Sethuraman, Malcolm E. Turner, Paul A. Dahm and Paul N. Hinz. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Biometrics, The American Statistician and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.