Markus Schwehm
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
Papers in
- Epidemiology 19
- Influenza Virus Research Studies 19
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Martin Eichner (25 shared papers)Hans-Peter Duerr (7 shared papers)Stefan Brockmann (4 shared papers)Laetitia C. Gerlier (5 shared papers)Fritz Hohl (2 shared papers)Kurt Rothermel (3 shared papers)Uwe Kubach (2 shared papers)Alexander Leonhardi (2 shared papers)
- Journals
- BMC Infectious Diseases (10 papers)Human Vaccines & Immunotherapeutics (2 papers)Epidemiology (2 papers)Pediatric Drugs (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Markus Schwehm
38 papers receiving 737 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 59
- Epidemiology 297
- Virology 31
- Computer Networks and Communications 121
- Emergency Medical Services 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 96 | |
| 2 | A Performance Model for Mobile Agent Systems. | 1997 | 80 |
| 3 | 2017 | 73 | |
| 4 | 2007 | 59 | |
| 5 | 2014 | 38 | |
| 6 | 2014 | 38 | |
| 7 | 2007 | 37 | |
| 8 | 2016 | 37 | |
| 9 | 2009 | 36 | |
| 10 | 2007 | 32 | |
| 11 | 2006 | 31 | |
| 12 | 2020 | 23 | |
| 13 | 2017 | 20 | |
| 14 | 1994 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 1998 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2016 | 13 | |
| 19 | 2009 | 12 | |
| 20 | 2016 | 11 |
About Markus Schwehm
Markus Schwehm is a scholar working on Epidemiology, Hardware and Architecture, Virology, Industrial and Manufacturing Engineering and Modeling and Simulation, having authored 39 papers that have together received 795 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (19 papers), Parallel Computing and Optimization Techniques (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Poxvirus research and outbreaks (3 papers), Scheduling and Optimization Algorithms (3 papers), Mobile Agent-Based Network Management (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Modeling and Simulation (59 citations), Epidemiology (297 citations), Virology (31 citations), Computer Networks and Communications (121 citations) and Emergency Medical Services (24 citations). Markus Schwehm has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Martin Eichner, Hans-Peter Duerr, Stefan Brockmann, Laetitia C. Gerlier, Fritz Hohl, Kurt Rothermel, Uwe Kubach, Alexander Leonhardi, Ruprecht Schmidt‐Ott and Hiroshi Nishiura. Their work appears in journals such as BMC Infectious Diseases, Human Vaccines & Immunotherapeutics, Epidemiology, Pediatric Drugs and Clinical Infectious Diseases.
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.