Steven Abrams
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Parasitic Diseases Research and Treatment
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- Parasitic Diseases Research and Treatment 6
- Epidemiology 18
- Virology and Viral Diseases 7
- Co-authors
- Niel Hens (40 shared papers)Philippe Beutels (18 shared papers)Christel Faes (10 shared papers)Erika Vlieghe (1 shared paper)Dominique Van Beckhoven (1 shared paper)Geert Meyfroidt (1 shared paper)Hamid Yimam Hassen (7 shared papers)Hilde Bastiaens (7 shared papers)
- Journals
- Pathogens (6 papers)PLoS ONE (5 papers)Vaccine (4 papers)Eurosurveillance (3 papers)BMC Infectious Diseases (3 papers)
- Partner nations
- BelgiumUgandaNetherlands
In The Last Decade
Steven Abrams
69 papers receiving 875 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 256
- Infectious Diseases 252
- Health 100
- Transplantation 31
- Epidemiology 222
Countries citing papers authored by Steven Abrams
This map shows the geographic impact of Steven Abrams'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 Steven Abrams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Abrams more than expected).
Fields of papers citing papers by Steven Abrams
This network shows the impact of papers produced by Steven Abrams. 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 Steven Abrams. The network helps show where Steven Abrams may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Abrams, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 150 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 53 | |
| 4 | 2021 | 50 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 36 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2015 | 27 | |
| 10 | 2022 | 24 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2019 | 14 | |
| 20 | 2021 | 13 |
About Steven Abrams
Steven Abrams is a scholar working on Infectious Diseases, Epidemiology, Modeling and Simulation, Public Health, Environmental and Occupational Health and Health, having authored 78 papers that have together received 889 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Virology and Viral Diseases (7 papers), Vaccine Coverage and Hesitancy (6 papers), Parasitic Diseases Research and Treatment (6 papers), Parasite Biology and Host Interactions (5 papers), Insurance, Mortality, Demography, Risk Management (5 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Modeling and Simulation (256 citations), Infectious Diseases (252 citations), Health (100 citations), Transplantation (31 citations) and Epidemiology (222 citations). Steven Abrams has collaborated with scholars based in Belgium, Uganda and Netherlands. Frequent co-authors include Niel Hens, Philippe Beutels, Christel Faes, Erika Vlieghe, Dominique Van Beckhoven, Geert Meyfroidt, Hamid Yimam Hassen, Hilde Bastiaens, Heidi Theeten and Sereina A. Herzog. Their work appears in journals such as Pathogens, PLoS ONE, Vaccine, Eurosurveillance and BMC 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.