Robert Dyrdak
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 4
- Tuberculosis Research and Epidemiology 1
-
- Viral Infections and Immunology Research 5
- Co-authors
- Jan Albert (10 shared papers)Emma B. Hodcroft (7 shared papers)Richard A. Neher (5 shared papers)Valentin Druelle (1 shared paper)Olof Hertting (2 shared papers)Peter Wiklund (1 shared paper)Hanna Brauner (1 shared paper)Milan Chromek (1 shared paper)
- Journals
- Eurosurveillance (3 papers)Infectious Diseases (1 paper)PLoS ONE (1 paper)Apmis (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- SwedenSwitzerlandNetherlands
In The Last Decade
Robert Dyrdak
16 papers receiving 634 citations
Peers
Comparison fields: 5 of 85
- Modeling and Simulation 98
- Infectious Diseases 266
- Cardiology and Cardiovascular Medicine 168
- General Dentistry 9
- Microbiology 27
Countries citing papers authored by Robert Dyrdak
This map shows the geographic impact of Robert Dyrdak'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 Robert Dyrdak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Dyrdak more than expected).
Fields of papers citing papers by Robert Dyrdak
This network shows the impact of papers produced by Robert Dyrdak. 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 Robert Dyrdak. The network helps show where Robert Dyrdak may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Dyrdak, 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 | 164 | |
| 2 | 2010 | 118 | |
| 3 | 2016 | 73 | |
| 4 | 2022 | 53 | |
| 5 | 2022 | 41 | |
| 6 | 2021 | 37 | |
| 7 | 2015 | 34 | |
| 8 | 2020 | 33 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 8 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 1 |
About Robert Dyrdak
Robert Dyrdak is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 649 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Respiratory viral infections research (3 papers), COVID-19 epidemiological studies (2 papers), Animal Virus Infections Studies (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Modeling and Simulation (98 citations), Infectious Diseases (266 citations), Cardiology and Cardiovascular Medicine (168 citations), General Dentistry (9 citations) and Microbiology (27 citations). Robert Dyrdak has collaborated with scholars based in Sweden, Switzerland and Netherlands. Frequent co-authors include Jan Albert, Emma B. Hodcroft, Richard A. Neher, Valentin Druelle, Olof Hertting, Peter Wiklund, Hanna Brauner, Milan Chromek, Annelie Brauner and Petra Lüthje. Their work appears in journals such as Eurosurveillance, Infectious Diseases, PLoS ONE, Apmis and Cell Reports Medicine.
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.