F. Paul Spitzner
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
-
- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 1
-
- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Viola Priesemann (7 shared papers)Johannes Zierenberg (6 shared papers)Jonas Dehning (3 shared papers)João Pinheiro Neto (3 shared papers)Michael Wilczek (1 shared paper)Michael Wibral (1 shared paper)Viktoria Blavatska (1 shared paper)Wolfhard Janke (2 shared papers)
In The Last Decade
F. Paul Spitzner
8 papers receiving 627 citations
F. Paul Spitzner's Hit Papers
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 411
- Infectious Diseases 127
- Economics and Econometrics 162
- Health 31
- Epidemiology 110
Countries citing papers authored by F. Paul Spitzner
This map shows the geographic impact of F. Paul Spitzner'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 F. Paul Spitzner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Paul Spitzner more than expected).
Fields of papers citing papers by F. Paul Spitzner
This network shows the impact of papers produced by F. Paul Spitzner. 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 F. Paul Spitzner. The network helps show where F. Paul Spitzner may publish in the future.
Co-authors
The 21 scholars most cited alongside F. Paul Spitzner, 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 | 2017 | 35 | |
| 3 | 2021 | 29 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 11 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2018 | 0 |
About F. Paul Spitzner
F. Paul Spitzner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Condensed Matter Physics, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 9 papers that have together received 635 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (2 papers), stochastic dynamics and bifurcation (2 papers), Theoretical and Computational Physics (2 papers), COVID-19 epidemiological studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Agricultural risk and resilience (1 paper) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Modeling and Simulation (411 citations), Infectious Diseases (127 citations), Economics and Econometrics (162 citations), Health (31 citations) and Epidemiology (110 citations). F. Paul Spitzner has collaborated with scholars based in Germany, Spain and Ukraine. Frequent co-authors include Viola Priesemann, Johannes Zierenberg, Jonas Dehning, João Pinheiro Neto, Michael Wilczek, Michael Wibral, Viktoria Blavatska, Wolfhard Janke, Sebastian Mohr and Sebastián Contreras. Their work appears in journals such as Science Advances, PLoS Computational Biology, PLoS ONE, Physical review. E and Science.
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.