John Gittins
Impact in
-
- Advanced Bandit Algorithms Research
- Auction Theory and Applications
- General Decision Sciences top 5%
Papers in
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- Statistical Methods in Clinical Trials 19
- Statistical Methods and Bayesian Inference 5
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- Advanced Bandit Algorithms Research 11
- Co-authors
- J. A. BatherK. D. GlazebrookRichard WeberHamid PezeshkV.M. AllenM.L. HutchisonN.H.C. SparksTakashi Kikuchi
- Journals
- Journal of Applied Probability (10 papers)Advances in Applied Probability (8 papers)R and D Management (6 papers)Statistical Methods in Medical Research (4 papers)Drug Information Journal (4 papers)
- Partner nations
- United KingdomSouth SudanSlovakia
In The Last Decade
John Gittins
62 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Management Science and Operations Research 1.4k
- General Decision Sciences 93
- Computer Networks and Communications 844
- Statistics and Probability 292
- Management Information Systems 266
Countries citing papers authored by John Gittins
This map shows the geographic impact of John Gittins'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 Gittins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gittins more than expected).
Fields of papers citing papers by John Gittins
This network shows the impact of papers produced by John Gittins. 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 Gittins. The network helps show where John Gittins may publish in the future.
Co-authors
The 25 scholars most cited alongside John Gittins, 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 | 2011 | 2 | |
| 2 | 2011 | 39 | |
| 3 | 2011 | 0 | |
| 4 | 2009 | 11 | |
| 5 | 2008 | 6 | |
| 6 | 2008 | 2 | |
| 7 | 2008 | 7 | |
| 8 | 2007 | 28 | |
| 9 | 2007 | 10 | |
| 10 | 2006 | 3 | |
| 11 | 2004 | 63 | |
| 12 | 2000 | 40 | |
| 13 | 1993 | 5 | |
| 14 | 1992 | 3 | |
| 15 | 1991 | 6 | |
| 16 | 1981 | 7 | |
| 17 | 1974 | 2 | |
| 18 | 1973 | 1 | |
| 19 | 1973 | 5 | |
| 20 | 1973 | 1 |
About John Gittins
John Gittins is a scholar working on Statistics and Probability, Management Science and Operations Research, Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Advanced Bandit Algorithms Research (11 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Scheduling and Optimization Algorithms (8 papers), Optimization and Search Problems (6 papers), Pharmaceutical Economics and Policy (6 papers), Process Optimization and Integration (6 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Management Science and Operations Research (1.4k citations), General Decision Sciences (93 citations), Computer Networks and Communications (844 citations), Statistics and Probability (292 citations) and Management Information Systems (266 citations). John Gittins has collaborated with scholars based in United Kingdom, South Sudan and Slovakia. Frequent co-authors include J. A. Bather, K. D. Glazebrook, Richard Weber, Hamid Pezeshk, V.M. Allen, M.L. Hutchison, N.H.C. Sparks, Takashi Kikuchi, C.H. Burton and A. Moore. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, R and D Management, Statistical Methods in Medical Research and Drug Information 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.