Stefan Kröger
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
Papers in
-
- Tuberculosis Research and Epidemiology 7
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 2
- COVID-19 Clinical Research Studies 2
-
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Pneumonia and Respiratory Infections 3
- Mycobacterium research and diagnosis 3
- Co-authors
- Jessica Rademacher (1 shared paper)Jan Rybniker (1 shared paper)Isabelle Suárez (1 shared paper)Gerd Fätkenheuer (1 shared paper)Andreas Drexl (1 shared paper)Thomas Bartsch (1 shared paper)Walter Haas (6 shared papers)Matthew R. Huska (4 shared papers)
- Journals
- Eurosurveillance (4 papers)Circulation Journal (1 paper)PLoS Computational Biology (1 paper)BMC Infectious Diseases (1 paper)Viruses (1 paper)
- Partner nations
- GermanySwedenUnited Kingdom
In The Last Decade
Stefan Kröger
16 papers receiving 368 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 179
- Modeling and Simulation 26
- Management Science and Operations Research 63
- Industrial and Manufacturing Engineering 38
- Epidemiology 95
Countries citing papers authored by Stefan Kröger
This map shows the geographic impact of Stefan Kröger'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 Stefan Kröger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Kröger more than expected).
Fields of papers citing papers by Stefan Kröger
This network shows the impact of papers produced by Stefan Kröger. 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 Stefan Kröger. The network helps show where Stefan Kröger may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Kröger, 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 | 2019 | 155 | |
| 2 | 2004 | 66 | |
| 3 | 2022 | 54 | |
| 4 | 2018 | 25 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 13 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 1997 | 1 |
About Stefan Kröger
Stefan Kröger is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Molecular Biology and Immunology, having authored 16 papers that have together received 378 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 epidemiological studies (3 papers), Mycobacterium research and diagnosis (3 papers), SARS-CoV-2 detection and testing (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (179 citations), Modeling and Simulation (26 citations), Management Science and Operations Research (63 citations), Industrial and Manufacturing Engineering (38 citations) and Epidemiology (95 citations). Stefan Kröger has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Jessica Rademacher, Jan Rybniker, Isabelle Suárez, Gerd Fätkenheuer, Andreas Drexl, Thomas Bartsch, Walter Haas, Matthew R. Huska, Benedikt Zacher and Stephan Fuchs. Their work appears in journals such as Eurosurveillance, Circulation Journal, PLoS Computational Biology, BMC Infectious Diseases and Viruses.
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.