Steven Abrams
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- Parasitic Diseases Research and Treatment 6
- Epidemiology 21
- Influenza Virus Research Studies 6
- Virology and Viral Diseases 6
- Co-authors
- Niel Hens (38 shared papers)Philippe Beutels (18 shared papers)Christel Faes (10 shared papers)Dominique Van Beckhoven (1 shared paper)Geert Meyfroidt (1 shared paper)Erika Vlieghe (1 shared paper)Hamid Yimam Hassen (7 shared papers)Sereina A. Herzog (7 shared papers)
In The Last Decade
Steven Abrams
64 papers receiving 817 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 290
- Health 145
- Infectious Diseases 303
- Transplantation 41
- Epidemiology 243
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 146 | |
| 2 | 2021 | 52 | |
| 3 | 2021 | 50 | |
| 4 | 2020 | 45 | |
| 5 | 2020 | 38 | |
| 6 | 2018 | 35 | |
| 7 | 2021 | 32 | |
| 8 | 2015 | 25 | |
| 9 | 2021 | 25 | |
| 10 | 2022 | 21 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 20 | |
| 13 | 2014 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 12 |
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 73 papers that have together received 829 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Vaccine Coverage and Hesitancy (9 papers), Parasitic Diseases Research and Treatment (6 papers), Influenza Virus Research Studies (6 papers), Virology and Viral Diseases (6 papers), Parasite Biology and Host Interactions (5 papers) and Global Maternal and Child Health (5 papers). The work is most often cited by research in Modeling and Simulation (290 citations), Health (145 citations), Infectious Diseases (303 citations), Transplantation (41 citations) and Epidemiology (243 citations). Steven Abrams has collaborated with scholars based in Belgium, Uganda and Australia. Frequent co-authors include Niel Hens, Philippe Beutels, Christel Faes, Dominique Van Beckhoven, Geert Meyfroidt, Erika Vlieghe, Hamid Yimam Hassen, Sereina A. Herzog, Hilde Bastiaens and Heidi Theeten. 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.