Benjamin Steinegger
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- COVID-19 epidemiological studies 7
-
- Complex Network Analysis Techniques 3
- Co-authors
- Àlex Arenas (8 shared papers)Jesús Gómez‐Gardeñes (5 shared papers)Clara Granell (4 shared papers)Sergio Gómez (2 shared papers)Joan T. Matamalas (2 shared papers)David Soriano‐Paños (2 shared papers)Wesley Cota (1 shared paper)Paolo De Los Rios (1 shared paper)
- Journals
- Physical Review Research (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Nature Communications (1 paper)JMIR Public Health and Surveillance (1 paper)Physical review. E (1 paper)
- Partner nations
- SpainUnited KingdomJapan
In The Last Decade
Benjamin Steinegger
9 papers receiving 236 citations
Peers
Comparison fields: 5 of 48
- Modeling and Simulation 173
- Statistical and Nonlinear Physics 80
- Transportation 25
- Health 22
- Public Health, Environmental and Occupational Health 50
Countries citing papers authored by Benjamin Steinegger
This map shows the geographic impact of Benjamin Steinegger'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 Benjamin Steinegger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Steinegger more than expected).
Fields of papers citing papers by Benjamin Steinegger
This network shows the impact of papers produced by Benjamin Steinegger. 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 Benjamin Steinegger. The network helps show where Benjamin Steinegger may publish in the future.
Co-authors
The 12 scholars most cited alongside Benjamin Steinegger, 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 | 2020 | 145 | |
| 2 | 2022 | 22 | |
| 3 | 2020 | 19 | |
| 4 | 2018 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2022 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 0 |
About Benjamin Steinegger
Benjamin Steinegger is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Infectious Diseases, Transportation and Health, having authored 10 papers that have together received 237 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Complex Network Analysis Techniques (3 papers), HIV/AIDS Research and Interventions (1 paper), Gene Regulatory Network Analysis (1 paper), Vaccine Coverage and Hesitancy (1 paper), HIV, Drug Use, Sexual Risk (1 paper), Data-Driven Disease Surveillance (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Modeling and Simulation (173 citations), Statistical and Nonlinear Physics (80 citations), Transportation (25 citations), Health (22 citations) and Public Health, Environmental and Occupational Health (50 citations). Benjamin Steinegger has collaborated with scholars based in Spain, United Kingdom and Japan. Frequent co-authors include Àlex Arenas, Jesús Gómez‐Gardeñes, Clara Granell, Sergio Gómez, Joan T. Matamalas, David Soriano‐Paños, Wesley Cota, Paolo De Los Rios, Alessio Cardillo and Alberto Antonioni. Their work appears in journals such as Physical Review Research, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Nature Communications, JMIR Public Health and Surveillance and Physical review. E.
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.