Peter Klimek
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Economics and Econometrics top 2%
- COVID-19 Pandemic Impacts
Papers in
- Epidemiology 22
- Chronic Disease Management Strategies 10
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- Complex Systems and Time Series Analysis 6
- Co-authors
- Stefan Thurner (55 shared papers)Rudolf Hanel (9 shared papers)Elma Dervić (16 shared papers)Nils Haug (5 shared papers)Vittorio Loreto (1 shared paper)Lukas Geyrhofer (1 shared paper)Alessandro Londei (1 shared paper)Amélie Desvars-Larrive (1 shared paper)
- Journals
- PLoS ONE (8 papers)Scientific Reports (6 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Personalized Medicine (4 papers)Nature Communications (3 papers)
- Partner nations
- AustriaUnited StatesSweden
In The Last Decade
Peter Klimek
112 papers receiving 2.8k citations
Peter Klimek's Hit Papers
Peers
Comparison fields: 5 of 199
- Modeling and Simulation 689
- Economics and Econometrics 575
- Internal Medicine 77
- Health 169
- Statistical and Nonlinear Physics 202
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 123 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 | 897 |
| 2 | 2018 | 193 | |
| 3 | 2012 | 94 | |
| 4 | 2020 | 93 | |
| 5 | 2021 | 83 | |
| 6 | 2021 | 73 | |
| 7 | 2013 | 72 | |
| 8 | 2020 | 67 | |
| 9 | 2019 | 61 | |
| 10 | 2015 | 58 | |
| 11 | 2014 | 58 | |
| 12 | 2020 | 57 | |
| 13 | 2023 | 46 | |
| 14 | 2015 | 44 | |
| 15 | 2019 | 44 | |
| 16 | 2023 | 41 | |
| 17 | 2012 | 38 | |
| 18 | 2015 | 37 | |
| 19 | 2020 | 37 | |
| 20 | 2018 | 31 |
About Peter Klimek
Peter Klimek is a scholar working on Epidemiology, Economics and Econometrics, Sociology and Political Science, Endocrinology, Diabetes and Metabolism and Surgery, having authored 123 papers that have together received 2.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Chronic Disease Management Strategies (10 papers), Complex Network Analysis Techniques (10 papers), Health disparities and outcomes (9 papers), Complex Systems and Time Series Analysis (6 papers), Migration, Health and Trauma (6 papers), Opinion Dynamics and Social Influence (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Modeling and Simulation (689 citations), Economics and Econometrics (575 citations), Internal Medicine (77 citations), Health (169 citations) and Statistical and Nonlinear Physics (202 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, Vittorio Loreto, Lukas Geyrhofer, Alessandro Londei, Amélie Desvars-Larrive, Beate Pinior and Alexandra Kautzky‐Willer. Their work appears in journals such as PLoS ONE, Scientific Reports, Proceedings of the National Academy of Sciences, Journal of Personalized Medicine and Nature Communications.
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.