Allyson M Abrams
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
- Epidemiology 11
- Data-Driven Disease Surveillance 10
- Influenza Virus Research Studies 1
-
- Smoking Behavior and Cessation 1
- Co-authors
- Ken Kleinman (12 shared papers)Martin Kulldorff (6 shared papers)Richard Platt (4 shared papers)Janice P. Handlers (1 shared paper)Raymond J. Melrose (1 shared paper)W. Katherine Yih (2 shared papers)Debra P. Ritzwoller (1 shared paper)James D. Nordin (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (2 papers)Statistics in Medicine (2 papers)International Journal of Health Geographics (2 papers)Epidemiology and Infection (1 paper)Foodborne Pathogens and Disease (1 paper)
- Partner nations
- United States
In The Last Decade
Allyson M Abrams
14 papers receiving 350 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 41
- Epidemiology 210
- Agronomy and Crop Science 28
- Public Health, Environmental and Occupational Health 58
- Medical Laboratory Technology 3
Countries citing papers authored by Allyson M Abrams
This map shows the geographic impact of Allyson M 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 Allyson M Abrams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allyson M Abrams more than expected).
Fields of papers citing papers by Allyson M Abrams
This network shows the impact of papers produced by Allyson M 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 Allyson M Abrams. The network helps show where Allyson M Abrams may publish in the future.
Co-authors
The 25 scholars most cited alongside Allyson M 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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 99 | |
| 2 | 2006 | 42 | |
| 3 | 2010 | 35 | |
| 4 | 1985 | 34 | |
| 5 | 2005 | 32 | |
| 6 | 2009 | 24 | |
| 7 | 2007 | 23 | |
| 8 | 2012 | 17 | |
| 9 | 2010 | 15 | |
| 10 | Use of well-child visits in high-deductible health plans. | 2010 | 12 |
| 11 | 2013 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 2008 | 7 | |
| 14 | 2010 | 7 |
About Allyson M Abrams
Allyson M Abrams is a scholar working on Epidemiology, Physiology, Economics and Econometrics, Molecular Biology and General Health Professions, having authored 14 papers that have together received 366 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (10 papers), Spatial and Panel Data Analysis (2 papers), Census and Population Estimation (1 paper), Public Health Policies and Education (1 paper), Influenza Virus Research Studies (1 paper), Zoonotic diseases and public health (1 paper), COVID-19 epidemiological studies (1 paper) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Modeling and Simulation (41 citations), Epidemiology (210 citations), Agronomy and Crop Science (28 citations), Public Health, Environmental and Occupational Health (58 citations) and Medical Laboratory Technology (3 citations). Allyson M Abrams has collaborated with scholars based in United States. Frequent co-authors include Ken Kleinman, Martin Kulldorff, Richard Platt, Janice P. Handlers, Raymond J. Melrose, W. Katherine Yih, Debra P. Ritzwoller, James D. Nordin, Michael J. Goodman and James G. Donahue. Their work appears in journals such as BMC Medical Informatics and Decision Making, Statistics in Medicine, International Journal of Health Geographics, Epidemiology and Infection and Foodborne Pathogens and Disease.
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.