Thomas Jaki
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
-
- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods in Clinical Trials 116
- Statistical Methods and Bayesian Inference 25
- Advanced Causal Inference Techniques 22
- Statistical Methods and Inference 21
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- Optimal Experimental Design Methods 59
- Co-authors
- James Wason (14 shared papers)Martin J. Wolfsegger (17 shared papers)Dominic Magirr (7 shared papers)Philip Pallmann (13 shared papers)John Whitehead (6 shared papers)Christopher J. Weir (7 shared papers)Munyaradzi Dimairo (11 shared papers)Lisa V. Hampson (12 shared papers)
- Journals
- Statistics in Medicine (32 papers)Statistical Methods in Medical Research (19 papers)Pharmaceutical Statistics (13 papers)Statistics in Biopharmaceutical Research (5 papers)Clinical Trials (5 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Thomas Jaki
159 papers receiving 2.9k citations
Thomas Jaki's Hit Papers
Peers
Comparison fields: 5 of 173
- Statistics and Probability 1.4k
- Management Science and Operations Research 531
- Statistics, Probability and Uncertainty 174
- Economics and Econometrics 440
- Health Informatics 16
Countries citing papers authored by Thomas Jaki
This map shows the geographic impact of Thomas Jaki'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 Thomas Jaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Jaki more than expected).
Fields of papers citing papers by Thomas Jaki
This network shows the impact of papers produced by Thomas Jaki. 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 Thomas Jaki. The network helps show where Thomas Jaki may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Jaki, 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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive designs in clinical trials: why use them, and how to run and report them Hit paper breakdown → | 2018 | 439 |
| 2 | 2016 | 96 | |
| 3 | 2012 | 95 | |
| 4 | 2020 | 78 | |
| 5 | 2012 | 73 | |
| 6 | 2012 | 69 | |
| 7 | 2020 | 64 | |
| 8 | 2010 | 63 | |
| 9 | 2009 | 57 | |
| 10 | 2009 | 56 | |
| 11 | 2019 | 54 | |
| 12 | 2016 | 54 | |
| 13 | 2012 | 49 | |
| 14 | 2020 | 49 | |
| 15 | 2016 | 46 | |
| 16 | 2016 | 41 | |
| 17 | 2013 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2016 | 35 | |
| 20 | 2016 | 35 |
About Thomas Jaki
Thomas Jaki is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Immunology and Molecular Biology, having authored 175 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (116 papers), Optimal Experimental Design Methods (59 papers), Health Systems, Economic Evaluations, Quality of Life (35 papers), Statistical Methods and Bayesian Inference (25 papers), Advanced Causal Inference Techniques (22 papers), Statistical Methods and Inference (21 papers), Biosimilars and Bioanalytical Methods (21 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Management Science and Operations Research (531 citations), Statistics, Probability and Uncertainty (174 citations), Economics and Econometrics (440 citations) and Health Informatics (16 citations). Thomas Jaki has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include James Wason, Martin J. Wolfsegger, Dominic Magirr, Philip Pallmann, John Whitehead, Christopher J. Weir, Munyaradzi Dimairo, Lisa V. Hampson, Adrian Mander and Matthew Sperrin. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, Pharmaceutical Statistics, Statistics in Biopharmaceutical Research and Clinical Trials.
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.