John Bibby
Impact in
- Agronomy and Crop Science top 1%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
Papers in
-
- Statistics Education and Methodologies 5
- Advanced Statistical Methods and Models 2
- Approximation Theory and Sequence Spaces 1
-
- Law, Rights, and Freedoms 1
- Co-authors
- Helge Toutenburg (4 shared papers)W. D. Ray (1 shared paper)C. D. Sinclair (1 shared paper)Y. L. Tong (1 shared paper)J. Douglas Carroll (1 shared paper)K. V. Mardia (2 shared papers)J. T. Kent (2 shared papers)Tony Greenfield (1 shared paper)
- Journals
- Biometrics (4 papers)Quality & Quantity (3 papers)Journal of the American Statistical Association (3 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)Journal of the Operational Research Society (2 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
John Bibby
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 174
- Agronomy and Crop Science 465
- Statistics and Probability 215
- Animal Science and Zoology 268
- Genetics 337
- Process Chemistry and Technology 34
Countries citing papers authored by John Bibby
This map shows the geographic impact of John Bibby'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 Bibby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Bibby more than expected).
Fields of papers citing papers by John Bibby
This network shows the impact of papers produced by John Bibby. 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 Bibby. The network helps show where John Bibby may publish in the future.
Co-authors
The 18 scholars most cited alongside John Bibby, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 353 | |
| 2 | 1978 | 301 | |
| 3 | 1981 | 171 | |
| 4 | 1979 | 166 | |
| 5 | 1981 | 115 | |
| 6 | 1974 | 103 | |
| 7 | 1979 | 85 | |
| 8 | 1988 | 68 | |
| 9 | 1977 | 40 | |
| 10 | 1972 | 30 | |
| 11 | 1975 | 29 | |
| 12 | 1978 | 15 | |
| 13 | 1973 | 15 | |
| 14 | 1967 | 15 | |
| 15 | 1987 | 11 | |
| 16 | 1989 | 8 | |
| 17 | 1977 | 7 | |
| 18 | 1980 | 3 | |
| 19 | 1983 | 2 | |
| 20 | 1994 | 2 |
About John Bibby
John Bibby is a scholar working on Statistics and Probability, Sociology and Political Science, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Political Science and International Relations, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (5 papers), Advanced Statistical Methods and Models (2 papers), Advanced Mathematical Theories and Applications (1 paper), Approximation Theory and Sequence Spaces (1 paper), Law, Rights, and Freedoms (1 paper), Statistical Mechanics and Entropy (1 paper), Insurance, Mortality, Demography, Risk Management (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Agronomy and Crop Science (465 citations), Statistics and Probability (215 citations), Animal Science and Zoology (268 citations), Genetics (337 citations) and Process Chemistry and Technology (34 citations). John Bibby has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Helge Toutenburg, W. D. Ray, C. D. Sinclair, Y. L. Tong, J. Douglas Carroll, K. V. Mardia, J. T. Kent, Tony Greenfield, Lincoln E. Moses and Patrick L. Odell. Their work appears in journals such as Biometrics, Quality & Quantity, Journal of the American Statistical Association, Journal of the Royal Statistical Society Series C (Applied Statistics) and Journal of the Operational Research Society.
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.