David J. Jenkinson
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Statistics and Probability top 2%
- Management Science and Operations Research top 2%
- Statistics, Probability and Uncertainty top 1%
- Co-authors
- Paul H. GarthwaiteTim RakowJ. Richard EiserJeremy E. OakleyAlireza DaneshkhahCaitlin E. BuckAnthony O’HaganPuspa Raj Pant
- Topics
- Clinical practice guidelines implementation (1 paper)Reliability and Agreement in Measurement (1 paper)Statistical Methods and Bayesian Inference (1 paper)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Technology Assessment in Health CareBMC Ophthalmology
- Partner nations
- United KingdomKuwaitJapan
In The Last Decade
David J. Jenkinson
5 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 230
- Economics and Econometrics 223
- Statistics and Probability 222
- Management Science and Operations Research 217
- Statistics, Probability and Uncertainty 209
Countries citing papers authored by David J. Jenkinson
This map shows the geographic impact of David J. Jenkinson'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 David J. Jenkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Jenkinson more than expected).
Fields of papers citing papers by David J. Jenkinson
This network shows the impact of papers produced by David J. Jenkinson. 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 David J. Jenkinson. The network helps show where David J. Jenkinson may publish in the future.
Co-authorship network of co-authors of David J. Jenkinson
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Jenkinson. A scholar is included among the top collaborators of David J. Jenkinson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Jenkinson. David J. Jenkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 26 | |
| 3 | 198 | |
| 4 | 20 | |
| 5 | Uncertain Judgements: Eliciting Experts' Probabilitiesbreakdown → | 1070 |
About David J. Jenkinson
David J. Jenkinson is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 5 papers that have together received 1.3k indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (1 paper), Reliability and Agreement in Measurement (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in General Decision Sciences (73 citations), Statistics, Probability and Uncertainty (209 citations) and Statistics and Probability (222 citations). David J. Jenkinson has collaborated with scholars based in United Kingdom, Kuwait and Japan. Frequent co-authors include Paul H. Garthwaite, Tim Rakow, J. Richard Eiser, Jeremy E. Oakley, Alireza Daneshkhah, Caitlin E. Buck, Anthony O’Hagan, Puspa Raj Pant, W. Angus Wallace and Cyrus Cooper. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Technology Assessment in Health Care and BMC Ophthalmology.
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.