Witold Więcek
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 4
-
- Statistical Methods in Clinical Trials 5
- Co-authors
- Billy Amzal (9 shared papers)J.L.C.M. Dorne (5 shared papers)Hélène Karcher (2 shared papers)Nadia Quignot (4 shared papers)Amrita Ahuja (2 shared papers)Alex Tabarrok (2 shared papers)Michael Kremer (2 shared papers)Virginia Schmit (3 shared papers)
- Journals
- PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Toxicology Letters (2 papers)Environment International (1 paper)Risk Analysis (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Witold Więcek
21 papers receiving 242 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 58
- Health 61
- Business and International Management 10
- Infectious Diseases 60
- Pharmacology 23
Countries citing papers authored by Witold Więcek
This map shows the geographic impact of Witold Więcek'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 Witold Więcek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Witold Więcek more than expected).
Fields of papers citing papers by Witold Więcek
This network shows the impact of papers produced by Witold Więcek. 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 Witold Więcek. The network helps show where Witold Więcek may publish in the future.
Co-authors
The 25 scholars most cited alongside Witold Więcek, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2022 | 21 | |
| 3 | 2016 | 20 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 15 | |
| 6 | 2018 | 15 | |
| 7 | 2024 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2021 | 1 |
About Witold Więcek
Witold Więcek is a scholar working on Economics and Econometrics, Statistics and Probability, Infectious Diseases, Epidemiology and Pharmacology, having authored 23 papers that have together received 255 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Influenza Virus Research Studies (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Renal cell carcinoma treatment (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Health (61 citations), Business and International Management (10 citations), Infectious Diseases (60 citations) and Pharmacology (23 citations). Witold Więcek has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Billy Amzal, J.L.C.M. Dorne, Hélène Karcher, Nadia Quignot, Amrita Ahuja, Alex Tabarrok, Michael Kremer, Virginia Schmit, Eric Budish and Jean Lee. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Toxicology Letters, Environment International and Risk Analysis.
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.