Sören Mindermann
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 5
- Co-authors
- Jan Brauner (6 shared papers)Mrinank Sharma (6 shared papers)Gavin Leech (4 shared papers)Joshua Teperowski Monrad (4 shared papers)Jan Kulveit (3 shared papers)Yarin Gal (4 shared papers)Tomáš Gavenčiak (2 shared papers)Alexander John Norman (2 shared papers)
- Journals
- PLoS Computational Biology (1 paper)Science (1 paper)BMJ Global Health (1 paper)Scientific Data (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Sören Mindermann
9 papers receiving 815 citations
Sören Mindermann's Hit Papers
Peers
Comparison fields: 5 of 100
- Modeling and Simulation 541
- Infectious Diseases 221
- Health 96
- Economics and Econometrics 243
- Clinical Psychology 165
Countries citing papers authored by Sören Mindermann
This map shows the geographic impact of Sören Mindermann'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 Sören Mindermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sören Mindermann more than expected).
Fields of papers citing papers by Sören Mindermann
This network shows the impact of papers produced by Sören Mindermann. 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 Sören Mindermann. The network helps show where Sören Mindermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sören Mindermann, 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 | Inferring the effectiveness of government interventions against COVID-19 Hit paper breakdown → | 2020 | 630 |
| 2 | 2022 | 57 | |
| 3 | 2021 | 54 | |
| 4 | 2023 | 34 | |
| 5 | 2022 | 33 | |
| 6 | 2017 | 14 | |
| 7 | 2022 | 8 | |
| 8 | Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models | 2020 | 3 |
| 9 | 2025 | 1 |
About Sören Mindermann
Sören Mindermann is a scholar working on Modeling and Simulation, Infectious Diseases, Clinical Psychology, Economics and Econometrics and General Health Professions, having authored 9 papers that have together received 834 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), COVID-19 Pandemic Impacts (2 papers), COVID-19 and Mental Health (2 papers), Infection Control and Ventilation (1 paper), Decision-Making and Behavioral Economics (1 paper), Space Science and Extraterrestrial Life (1 paper), Food Security and Health in Diverse Populations (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Modeling and Simulation (541 citations), Infectious Diseases (221 citations), Health (96 citations), Economics and Econometrics (243 citations) and Clinical Psychology (165 citations). Sören Mindermann has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Jan Brauner, Mrinank Sharma, Gavin Leech, Joshua Teperowski Monrad, Jan Kulveit, Yarin Gal, Tomáš Gavenčiak, Alexander John Norman, George Altman and Yee Whye Teh. Their work appears in journals such as PLoS Computational Biology, Science, BMJ Global Health, Scientific Data and Proceedings of the National Academy of Sciences.
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.