Thomas Permutt
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials 15
- Advanced Causal Inference Techniques 11
- Statistical Methods and Bayesian Inference 5
- Statistical Methods and Inference 4
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications 3
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- Cerebrovascular and Carotid Artery Diseases 3
- Economics and Econometrics top 5%
- Health Systems, Economic Evaluations, Quality of Life 8
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- Meta-analysis and systematic reviews 4
- Co-authors
- J. Richard HebelYuji NumaguchiMichael RothmanAnne GadomskiDaniele RigamontiP. David WilsonGeoffrey L. RosenthalJoann A. Boughman
- Journals
- Statistics in Biopharmaceutical Research (5 papers)Pharmaceutical Statistics (4 papers)Statistics in Medicine (4 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Thomas Permutt
30 papers receiving 915 citations
Peers
Comparison fields: 5 of 109
- Statistics and Probability 349
- Neurology 205
- Pulmonary and Respiratory Medicine 253
- Chemical Health and Safety 5
- Economics and Econometrics 189
Countries citing papers authored by Thomas Permutt
This map shows the geographic impact of Thomas Permutt'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 Permutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Permutt more than expected).
Fields of papers citing papers by Thomas Permutt
This network shows the impact of papers produced by Thomas Permutt. 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 Permutt. The network helps show where Thomas Permutt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Permutt, 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 | 2025 | 1 | |
| 2 | 2020 | 1 | |
| 3 | 2019 | 13 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 6 | |
| 6 | 2017 | 52 | |
| 7 | 2015 | 31 | |
| 8 | 2015 | 41 | |
| 9 | 2015 | 43 | |
| 10 | 2013 | 3 | |
| 11 | 2000 | 6 | |
| 12 | 1998 | 17 | |
| 13 | 1996 | 21 | |
| 14 | 1996 | 67 | |
| 15 | 1996 | 54 | |
| 16 | 1994 | 4 | |
| 17 | 1994 | 27 | |
| 18 | 1994 | 86 | |
| 19 | 1991 | 99 | |
| 20 | 1990 | 34 |
About Thomas Permutt
Thomas Permutt is a scholar working on Statistics and Probability, Chemical Health and Safety and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 959 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (15 papers), Advanced Causal Inference Techniques (11 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers), Meta-analysis and systematic reviews (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Statistics and Probability (349 citations), Neurology (205 citations) and Pulmonary and Respiratory Medicine (253 citations). Thomas Permutt has collaborated with scholars based in United States and Russia. Frequent co-authors include J. Richard Hebel, Yuji Numaguchi, Michael Rothman, Anne Gadomski, Daniele Rigamonti, P. David Wilson, Geoffrey L. Rosenthal, Joann A. Boughman, C Ferencz and Devan V. Mehrotra. Their work appears in journals such as Statistics in Biopharmaceutical Research, Pharmaceutical Statistics, Statistics in Medicine, Journal of Neuroimaging and Biometrics.
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.