Robert E. Serfling
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- Respiratory viral infections research
Papers in
-
- Viral Infections and Immunology Research 4
-
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Donald A. Henderson (2 shared papers)Alexander D. Langmuir (2 shared papers)Dorothy I. Clemmer (1 shared paper)H. D. Anderson (2 shared papers)William E. Bunney (2 shared papers)Franklin H. Top (2 shared papers)Richard G. Cornell (1 shared paper)Frederick C. Robbins (1 shared paper)
- Journals
- American Journal of Epidemiology (1 paper)JAMA (1 paper)Southern Medical Journal (1 paper)PubMed (1 paper)American Journal of Public Health and the Nations Health (3 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Robert E. Serfling
14 papers receiving 641 citations
Robert E. Serfling's Hit Papers
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 167
- Epidemiology 443
- Endocrinology 46
- Health 48
- Infectious Diseases 105
Countries citing papers authored by Robert E. Serfling
This map shows the geographic impact of Robert E. Serfling'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 E. Serfling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Serfling more than expected).
Fields of papers citing papers by Robert E. Serfling
This network shows the impact of papers produced by Robert E. Serfling. 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 E. Serfling. The network helps show where Robert E. Serfling may publish in the future.
Co-authors
The 10 scholars most cited alongside Robert E. Serfling, 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 | Methods for Current Statistical Analysis of Excess Pneumonia-Influenza Deaths Hit paper breakdown → | 1963 | 483 |
| 2 | 1964 | 65 | |
| 3 | 1962 | 56 | |
| 4 | Historical review of epidemic theory. | 1952 | 39 |
| 5 | 1975 | 27 | |
| 6 | 1960 | 16 | |
| 7 | 1953 | 16 | |
| 8 | Attribute sampling methods for local health departments : with special reference to immunization surveys | 1965 | 15 |
| 9 | 1962 | 9 | |
| 10 | 1964 | 7 | |
| 11 | 1964 | 7 | |
| 12 | 1963 | 6 | |
| 13 | 1965 | 4 | |
| 14 | 1952 | 2 |
About Robert E. Serfling
Robert E. Serfling is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Health, Epidemiology and Genetics, having authored 14 papers that have together received 752 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 epidemiological studies (2 papers), Influenza Virus Research Studies (2 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Agricultural risk and resilience (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Insects and Parasite Interactions (1 paper). The work is most often cited by research in Modeling and Simulation (167 citations), Epidemiology (443 citations), Endocrinology (46 citations), Health (48 citations) and Infectious Diseases (105 citations). Robert E. Serfling has collaborated with scholars based in United States and France. Frequent co-authors include Donald A. Henderson, Alexander D. Langmuir, Dorothy I. Clemmer, H. D. Anderson, William E. Bunney, Franklin H. Top, Richard G. Cornell, Frederick C. Robbins, Martha L. Lepow and Helen Casey. Their work appears in journals such as American Journal of Epidemiology, JAMA, Southern Medical Journal, PubMed and American Journal of Public Health and the Nations Health.
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.