Tom Parke
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
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- Optimal Experimental Design Methods
Papers in
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- Statistical Methods in Clinical Trials 17
- Advanced Causal Inference Techniques 3
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- Health Systems, Economic Evaluations, Quality of Life 8
- Co-authors
- Michael Krams (4 shared papers)Franz König (6 shared papers)Neil Mitchard (1 shared paper)Peter Müller (1 shared paper)Michael K. Smith (1 shared paper)Donald A. Berry (1 shared paper)Beat E. Neuenschwander (1 shared paper)Qing Liu (1 shared paper)
- Journals
- Therapeutic Innovation & Regulatory Science (4 papers)Journal of Biopharmaceutical Statistics (2 papers)Statistics in Medicine (2 papers)Drug Information Journal (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Tom Parke
18 papers receiving 289 citations
Peers
Comparison fields: 5 of 68
- Statistics and Probability 254
- Management Science and Operations Research 133
- Statistics, Probability and Uncertainty 28
- Economics and Econometrics 99
- Analytical Chemistry 20
Countries citing papers authored by Tom Parke
This map shows the geographic impact of Tom Parke'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 Tom Parke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Parke more than expected).
Fields of papers citing papers by Tom Parke
This network shows the impact of papers produced by Tom Parke. 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 Tom Parke. The network helps show where Tom Parke may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Parke, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 135 | |
| 2 | 2002 | 89 | |
| 3 | 1951 | 23 | |
| 4 | 2021 | 19 | |
| 5 | 2013 | 12 | |
| 6 | 1952 | 11 | |
| 7 | 2018 | 11 | |
| 8 | 2009 | 10 | |
| 9 | 2024 | 10 | |
| 10 | 2009 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2013 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 1951 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Tom Parke
Tom Parke is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Immunology and Biophysics, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (17 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Biosimilars and Bioanalytical Methods (6 papers), Optimal Experimental Design Methods (5 papers), Advanced Causal Inference Techniques (3 papers), Meta-analysis and systematic reviews (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Statistics and Probability (254 citations), Management Science and Operations Research (133 citations), Statistics, Probability and Uncertainty (28 citations), Economics and Econometrics (99 citations) and Analytical Chemistry (20 citations). Tom Parke has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Michael Krams, Franz König, Neil Mitchard, Peter Müller, Michael K. Smith, Donald A. Berry, Beat E. Neuenschwander, Qing Liu, Amit Roy and Frank Bretz. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Journal of Biopharmaceutical Statistics, Statistics in Medicine, Drug Information Journal and Analytical Chemistry.
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.