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
- Mrinank Sharma (6 shared papers)Jan Brauner (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
- BMJ Global Health (1 paper)PLoS Computational Biology (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Scientific Data (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Sören Mindermann
10 papers receiving 846 citations
Sören Mindermann's Hit Papers
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 473
- Infectious Diseases 174
- Health 73
- Economics and Econometrics 192
- Clinical Psychology 123
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 | 651 |
| 2 | 2021 | 58 | |
| 3 | 2022 | 57 | |
| 4 | 2023 | 39 | |
| 5 | 2022 | 36 | |
| 6 | 2017 | 14 | |
| 7 | 2022 | 8 | |
| 8 | Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models | 2020 | 3 |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2026 | 0 |
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 11 papers that have together received 869 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), COVID-19 and Mental Health (2 papers), COVID-19 Pandemic Impacts (2 papers), Space Science and Extraterrestrial Life (1 paper), Infection Control and Ventilation (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (473 citations), Infectious Diseases (174 citations), Health (73 citations), Economics and Econometrics (192 citations) and Clinical Psychology (123 citations). Sören Mindermann has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Mrinank Sharma, Jan Brauner, Gavin Leech, Joshua Teperowski Monrad, Jan Kulveit, Yarin Gal, Tomáš Gavenčiak, Alexander John Norman, George Altman and Hong Ge. Their work appears in journals such as BMJ Global Health, PLoS Computational Biology, Nature, Proceedings of the National Academy of Sciences and Scientific Data.
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.