Jonas Dehning

1.3k total citations · 1 hit paper
10 papers, 605 citations indexed

About

Jonas Dehning is a scholar working on Modeling and Simulation, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Jonas Dehning has authored 10 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 3 papers in Infectious Diseases and 2 papers in Sociology and Political Science. Recurrent topics in Jonas Dehning's work include COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Neural dynamics and brain function (2 papers). Jonas Dehning is often cited by papers focused on COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Neural dynamics and brain function (2 papers). Jonas Dehning collaborates with scholars based in Germany, Chile and United Kingdom. Jonas Dehning's co-authors include Viola Priesemann, F. Paul Spitzner, Johannes Zierenberg, João Pinheiro Neto, Michael Wilczek, Michael Wibral, Sebastian Mohr, Sebastián Contreras, Emil N. Iftekhar and Jens Wilting and has published in prestigious journals such as Science, Nature Communications and Nature Neuroscience.

In The Last Decade

Jonas Dehning

7 papers receiving 598 citations

Hit Papers

Inferring change points in the spread of COVID-19 reveals... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonas Dehning Germany 6 459 174 143 131 65 10 605
F. Paul Spitzner Germany 6 432 0.9× 175 1.0× 138 1.0× 123 0.9× 55 0.8× 9 623
João Pinheiro Neto Germany 3 406 0.9× 167 1.0× 123 0.9× 119 0.9× 48 0.7× 3 535
Swapnil Mishra United Kingdom 14 384 0.8× 179 1.0× 239 1.7× 112 0.9× 85 1.3× 46 844
Joshua Teperowski Monrad United States 9 508 1.1× 230 1.3× 229 1.6× 120 0.9× 55 0.8× 11 884
Alexander John Norman United Kingdom 3 453 1.0× 210 1.2× 183 1.3× 108 0.8× 37 0.6× 3 658
Gavin Leech United Kingdom 4 499 1.1× 226 1.3× 196 1.4× 114 0.9× 36 0.6× 5 728
Sören Mindermann United Kingdom 7 541 1.2× 243 1.4× 221 1.5× 123 0.9× 45 0.7× 9 834
Bobbie Macdonald United States 7 246 0.5× 131 0.8× 182 1.3× 47 0.4× 40 0.6× 8 652
Mrinank Sharma United Kingdom 6 541 1.2× 241 1.4× 221 1.5× 123 0.9× 45 0.7× 6 816
Jan Kulveit United Kingdom 3 470 1.0× 211 1.2× 187 1.3× 110 0.8× 34 0.5× 5 674

Countries citing papers authored by Jonas Dehning

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonas Dehning

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Dehning. A scholar is included among the top collaborators of Jonas Dehning based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonas Dehning. Jonas Dehning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Dehning, Jonas, Lars Penke, Annekathrin Schacht, et al.. (2025). Continuous dynamics of cooperation and competition in social decision-making. Communications Psychology. 3(1). 170–170.
2.
Mohr, Sebastian, Jonas Dehning, David Medina-Ortiz, et al.. (2024). Early mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants in Chile. Scientific Reports. 14(1). 16000–16000.
3.
Dehning, Jonas, et al.. (2023). Propagation of activity through the cortical hierarchy and perception are determined by neural variability. Nature Neuroscience. 26(9). 1584–1594. 14 indexed citations
4.
Dehning, Jonas, Sebastian Mohr, Sebastián Contreras, et al.. (2023). Impact of the Euro 2020 championship on the spread of COVID-19. Nature Communications. 14(1). 122–122. 7 indexed citations
5.
Dehning, Jonas, et al.. (2023). Evaluating vaccine allocation strategies using simulation-assisted causal modeling. Patterns. 4(6). 100739–100739. 4 indexed citations
6.
Wagner, Joël, Sebastián Contreras, Emil N. Iftekhar, et al.. (2022). Interplay Between Risk Perception, Behavior, and COVID-19 Spread. Frontiers in Physics. 10. 25 indexed citations
7.
Contreras, Sebastián, Jonas Dehning, & Viola Priesemann. (2022). Describing a landscape we are yet discovering. AStA Advances in Statistical Analysis. 106(3). 399–402.
8.
Contreras, Sebastián, et al.. (2021). Low case numbers enable long-term stable pandemic control without lockdowns. Science Advances. 7(41). eabg2243–eabg2243. 27 indexed citations
9.
Spitzner, F. Paul, Jonas Dehning, Jens Wilting, et al.. (2021). MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. PLoS ONE. 16(4). e0249447–e0249447. 11 indexed citations
10.
Dehning, Jonas, Johannes Zierenberg, F. Paul Spitzner, et al.. (2020). Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science. 369(6500). 517 indexed citations breakdown →

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.

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