Peter Klimek
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Internal Medicine top 5%
Papers in
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- Complex Systems and Time Series Analysis 6
-
- Evolutionary Game Theory and Cooperation 5
- Co-authors
- Stefan Thurner (55 shared papers)Rudolf Hanel (9 shared papers)Elma Dervić (17 shared papers)Nils Haug (5 shared papers)Amélie Desvars-Larrive (2 shared papers)Beate Pinior (2 shared papers)Lukas Geyrhofer (1 shared paper)Alessandro Londei (1 shared paper)
- Journals
- PLoS ONE (8 papers)Scientific Reports (6 papers)Journal of Personalized Medicine (5 papers)Proceedings of the National Academy of Sciences (4 papers)World Journal of Pediatrics (3 papers)
- Partner nations
- AustriaUnited StatesSweden
In The Last Decade
Peter Klimek
118 papers receiving 3.0k citations
Peter Klimek's Hit Papers
Peers
Comparison fields: 5 of 198
- Modeling and Simulation 629
- Internal Medicine 79
- Economics and Econometrics 532
- Statistical and Nonlinear Physics 218
- Health 120
Countries citing papers authored by Peter Klimek
This map shows the geographic impact of Peter Klimek'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 Peter Klimek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Klimek more than expected).
Fields of papers citing papers by Peter Klimek
This network shows the impact of papers produced by Peter Klimek. 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 Peter Klimek. The network helps show where Peter Klimek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Klimek, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ranking the effectiveness of worldwide COVID-19 government interventions Hit paper breakdown → | 2020 | 940 |
| 2 | 2018 | 241 | |
| 3 | 2012 | 101 | |
| 4 | 2020 | 99 | |
| 5 | 2021 | 88 | |
| 6 | 2013 | 78 | |
| 7 | 2020 | 73 | |
| 8 | 2021 | 73 | |
| 9 | 2014 | 69 | |
| 10 | 2019 | 61 | |
| 11 | 2015 | 60 | |
| 12 | 2020 | 59 | |
| 13 | 2023 | 51 | |
| 14 | 2019 | 47 | |
| 15 | 2015 | 47 | |
| 16 | 2023 | 44 | |
| 17 | 2015 | 40 | |
| 18 | 2012 | 40 | |
| 19 | 2020 | 39 | |
| 20 | 2018 | 33 |
About Peter Klimek
Peter Klimek is a scholar working on Economics and Econometrics, Sociology and Political Science, Epidemiology, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 128 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Complex Network Analysis Techniques (10 papers), Health disparities and outcomes (7 papers), Complex Systems and Time Series Analysis (6 papers), Opinion Dynamics and Social Influence (6 papers), Migration, Health and Trauma (5 papers), Evolutionary Game Theory and Cooperation (5 papers) and Animal Behavior and Welfare Studies (5 papers). The work is most often cited by research in Modeling and Simulation (629 citations), Internal Medicine (79 citations), Economics and Econometrics (532 citations), Statistical and Nonlinear Physics (218 citations) and Health (120 citations). Peter Klimek has collaborated with scholars based in Austria, United States and Sweden. Frequent co-authors include Stefan Thurner, Rudolf Hanel, Elma Dervić, Nils Haug, Amélie Desvars-Larrive, Beate Pinior, Lukas Geyrhofer, Alessandro Londei, Vittorio Loreto and Stefan Thurner. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Personalized Medicine, Proceedings of the National Academy of Sciences and World Journal of Pediatrics.
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.