Markus Schwehm
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 20
- Influenza Virus Research Studies 19
- Respiratory viral infections research 8
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- COVID-19 epidemiological studies 18
- Co-authors
- Martin Eichner (26 shared papers)Hans-Peter Duerr (7 shared papers)Stefan Brockmann (4 shared papers)Uwe Kubach (3 shared papers)Kurt Rothermel (3 shared papers)Laetitia Gerlier (5 shared papers)Alexander Leonhardi (3 shared papers)Fritz Hohl (2 shared papers)
- Journals
- BMC Infectious Diseases (10 papers)Human Vaccines & Immunotherapeutics (2 papers)Epidemiology (2 papers)International Journal of Approximate Reasoning (1 paper)PharmacoEconomics (1 paper)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Markus Schwehm
35 papers receiving 645 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 264
- Health 115
- Epidemiology 322
- Infectious Diseases 125
- Computer Networks and Communications 150
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 82 | |
| 2 | A Performance Model for Mobile Agent Systems. | 1997 | 69 |
| 3 | 2017 | 63 | |
| 4 | 2007 | 58 | |
| 5 | 2007 | 37 | |
| 6 | 2016 | 36 | |
| 7 | 2014 | 36 | |
| 8 | 2014 | 35 | |
| 9 | 2009 | 33 | |
| 10 | 2007 | 28 | |
| 11 | 2006 | 24 | |
| 12 | 2020 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 1999 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2012 | 13 | |
| 17 | 2009 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2004 | 9 |
About Markus Schwehm
Markus Schwehm is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Computer Networks and Communications and Molecular Biology, having authored 36 papers that have together received 708 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (19 papers), COVID-19 epidemiological studies (18 papers), Respiratory viral infections research (8 papers), Viral Infections and Outbreaks Research (5 papers), Vaccine Coverage and Hesitancy (4 papers), Mobile Agent-Based Network Management (4 papers), Poxvirus research and outbreaks (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Modeling and Simulation (264 citations), Health (115 citations), Epidemiology (322 citations), Infectious Diseases (125 citations) and Computer Networks and Communications (150 citations). Markus Schwehm has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Martin Eichner, Hans-Peter Duerr, Stefan Brockmann, Uwe Kubach, Kurt Rothermel, Laetitia Gerlier, Alexander Leonhardi, Fritz Hohl, Ruprecht Schmidt‐Ott and Hiroshi Nishiura. Their work appears in journals such as BMC Infectious Diseases, Human Vaccines & Immunotherapeutics, Epidemiology, International Journal of Approximate Reasoning 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.