P. Marek
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Chemical Health and Safety top 10%
Papers in
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- Statistical Methods and Bayesian Inference 3
- Statistical Methods in Clinical Trials 2
-
- Smoking Behavior and Cessation 3
- Co-authors
- Jay H. Lubin (2 shared papers)N. E. Breslow (2 shared papers)Bryan Langholz (2 shared papers)Ross L. Prentice (3 shared papers)Arthur V. Peterson (5 shared papers)Sue Mann (2 shared papers)Jue Liu (1 shared paper)Jonathan B. Bricker (1 shared paper)
- Journals
- Journal of the American Statistical Association (2 papers)Radiation Research (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Nicotine & Tobacco Research (1 paper)Biometrics (1 paper)
- Partner nations
- United StatesSouth Africa
In The Last Decade
P. Marek
9 papers receiving 770 citations
Peers
Comparison fields: 5 of 126
- Statistics and Probability 264
- Chemical Health and Safety 6
- Applied Psychology 45
- Health, Toxicology and Mutagenesis 107
- Cancer Research 84
Countries citing papers authored by P. Marek
This map shows the geographic impact of P. Marek'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 P. Marek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Marek more than expected).
Fields of papers citing papers by P. Marek
This network shows the impact of papers produced by P. Marek. 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 P. Marek. The network helps show where P. Marek may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Marek, 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 | 1983 | 454 | |
| 2 | 1979 | 144 | |
| 3 | 1994 | 109 | |
| 4 | 1983 | 69 | |
| 5 | 2010 | 58 | |
| 6 | 1982 | 13 | |
| 7 | 1982 | 4 | |
| 8 | B.R.N.O. Times of minima | 2008 | 1 |
| 9 | 2001 | 1 | |
| 10 | B.R.N.O. Contributions #36, Times of minima | 2009 | 0 |
About P. Marek
P. Marek is a scholar working on Statistics and Probability, Physiology, Radiology, Nuclear Medicine and Imaging, Demography and General Health Professions, having authored 10 papers that have together received 853 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (3 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods in Clinical Trials (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Geological and Geophysical Studies (1 paper), School Health and Nursing Education (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Stellar, planetary, and galactic studies (1 paper). The work is most often cited by research in Statistics and Probability (264 citations), Chemical Health and Safety (6 citations), Applied Psychology (45 citations), Health, Toxicology and Mutagenesis (107 citations) and Cancer Research (84 citations). P. Marek has collaborated with scholars based in United States and South Africa. Frequent co-authors include Jay H. Lubin, N. E. Breslow, Bryan Langholz, Ross L. Prentice, Arthur V. Peterson, Sue Mann, Jue Liu, Jonathan B. Bricker, Richard I. Evans and David M. Murray. Their work appears in journals such as Journal of the American Statistical Association, Radiation Research, JNCI Journal of the National Cancer Institute, Nicotine & Tobacco Research 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.