Markus Schwehm
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 13
- Respiratory viral infections research 4
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- COVID-19 epidemiological studies 11
- Co-authors
- Martin Eichner (26 shared papers)Hans-Peter Duerr (7 shared papers)Kurt Rothermel (4 shared papers)Fritz Hohl (3 shared papers)Alexander Leonhardi (3 shared papers)Uwe Kubach (3 shared papers)Stefan Brockmann (4 shared papers)Laetitia Gerlier (5 shared papers)
- Journals
- BMC Infectious Diseases (10 papers)Human Vaccines & Immunotherapeutics (2 papers)Epidemiology (2 papers)Applied Health Economics and Health Policy (1 paper)PharmacoEconomics (1 paper)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Markus Schwehm
40 papers receiving 759 citations
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 198
- Epidemiology 284
- Computer Networks and Communications 216
- Health 56
- Virology 24
Countries citing papers authored by Markus Schwehm
This map shows the geographic impact of Markus Schwehm'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 Markus Schwehm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schwehm more than expected).
Fields of papers citing papers by Markus Schwehm
This network shows the impact of papers produced by Markus Schwehm. 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 Markus Schwehm. The network helps show where Markus Schwehm may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schwehm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 110 | |
| 2 | A Performance Model for Mobile Agent Systems. | 1997 | 87 |
| 3 | 2017 | 65 | |
| 4 | 2007 | 60 | |
| 5 | 2014 | 38 | |
| 6 | 2007 | 37 | |
| 7 | 2009 | 36 | |
| 8 | 2016 | 36 | |
| 9 | 2014 | 35 | |
| 10 | 2007 | 31 | |
| 11 | 2006 | 27 | |
| 12 | 1999 | 27 | |
| 13 | 2020 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 1994 | 21 | |
| 16 | 2021 | 16 | |
| 17 | 1998 | 16 | |
| 18 | 2012 | 13 | |
| 19 | 2009 | 13 | |
| 20 | 2016 | 12 |
About Markus Schwehm
Markus Schwehm is a scholar working on Epidemiology, Modeling and Simulation, Computer Networks and Communications, Molecular Biology and Artificial Intelligence, having authored 41 papers that have together received 837 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), COVID-19 epidemiological studies (11 papers), Mobile Agent-Based Network Management (5 papers), Respiratory viral infections research (4 papers), Context-Aware Activity Recognition Systems (3 papers), Evolutionary Algorithms and Applications (3 papers), Distributed systems and fault tolerance (3 papers) and Poxvirus research and outbreaks (3 papers). The work is most often cited by research in Modeling and Simulation (198 citations), Epidemiology (284 citations), Computer Networks and Communications (216 citations), Health (56 citations) and Virology (24 citations). Markus Schwehm has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Martin Eichner, Hans-Peter Duerr, Kurt Rothermel, Fritz Hohl, Alexander Leonhardi, Uwe Kubach, Stefan Brockmann, Laetitia Gerlier, Ruprecht Schmidt‐Ott and Thomas R. Walter. Their work appears in journals such as BMC Infectious Diseases, Human Vaccines & Immunotherapeutics, Epidemiology, Applied Health Economics and Health Policy and PharmacoEconomics.
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.