Jonas Dehning
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
-
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 1
- Co-authors
- Viola Priesemann (10 shared papers)F. Paul Spitzner (3 shared papers)João Pinheiro Neto (2 shared papers)Johannes Zierenberg (2 shared papers)Michael Wilczek (1 shared paper)Michael Wibral (1 shared paper)Sebastian Mohr (4 shared papers)Sebastián Contreras (5 shared papers)
- Journals
- Scientific Reports (1 paper)Nature Communications (1 paper)Patterns (1 paper)Nature Neuroscience (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyChileUnited Kingdom
In The Last Decade
Jonas Dehning
7 papers receiving 612 citations
Jonas Dehning's Hit Papers
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 437
- Infectious Diseases 132
- Economics and Econometrics 160
- Health 35
- Epidemiology 117
Countries citing papers authored by Jonas Dehning
This map shows the geographic impact of Jonas Dehning'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 Jonas Dehning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Dehning more than expected).
Fields of papers citing papers by Jonas Dehning
This network shows the impact of papers produced by Jonas Dehning. 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 Jonas Dehning. The network helps show where Jonas Dehning may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Dehning, 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 change points in the spread of COVID-19 reveals the effectiveness of interventions Hit paper breakdown → | 2020 | 524 |
| 2 | 2021 | 29 | |
| 3 | 2022 | 27 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 11 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 4 | |
| 8 | 2025 | 0 | |
| 9 | 2022 | 0 | |
| 10 | 2024 | 0 |
About Jonas Dehning
Jonas Dehning is a scholar working on Modeling and Simulation, Infectious Diseases, Sociology and Political Science, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 618 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Neural dynamics and brain function (2 papers), Agricultural risk and resilience (1 paper), Neuroscience and Neural Engineering (1 paper), Sport and Mega-Event Impacts (1 paper), Vaccine Coverage and Hesitancy (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Modeling and Simulation (437 citations), Infectious Diseases (132 citations), Economics and Econometrics (160 citations), Health (35 citations) and Epidemiology (117 citations). Jonas Dehning has collaborated with scholars based in Germany, Chile and United Kingdom. Frequent co-authors include Viola Priesemann, F. Paul Spitzner, João Pinheiro Neto, Johannes Zierenberg, Michael Wilczek, Michael Wibral, Sebastian Mohr, Sebastián Contreras, Emil N. Iftekhar and Mirjam Kretzschmar. Their work appears in journals such as Scientific Reports, Nature Communications, Patterns, Nature Neuroscience and PLoS ONE.
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.