Robert E. Serfling
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Data-Driven Disease Surveillance
- Pneumonia and Respiratory Infections
Papers in
-
- Viral Infections and Immunology Research 4
- Co-authors
- Donald A. Henderson (2 shared papers)Alexander D. Langmuir (2 shared papers)H. D. Anderson (2 shared papers)Franklin H. Top (2 shared papers)William E. Bunney (2 shared papers)Richard G. Cornell (1 shared paper)Frederick C. Robbins (1 shared paper)Martha L. Lepow (1 shared paper)
- Journals
- JAMA (1 paper)American Journal of Epidemiology (1 paper)Public Health Reports (1896-1970) (6 papers)American Journal of Public Health and the Nations Health (3 papers)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Robert E. Serfling
13 papers receiving 565 citations
Robert E. Serfling's Hit Papers
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 223
- Epidemiology 429
- Endocrinology 41
- Health 54
- Infectious Diseases 107
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 9 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 | 446 |
| 2 | 1964 | 55 | |
| 3 | 1962 | 49 | |
| 4 | Historical review of epidemic theory. | 1952 | 31 |
| 5 | 1953 | 15 | |
| 6 | Attribute sampling methods for local health departments : with special reference to immunization surveys | 1965 | 15 |
| 7 | 1960 | 13 | |
| 8 | 1962 | 8 | |
| 9 | 1964 | 7 | |
| 10 | 1964 | 7 | |
| 11 | 1963 | 6 | |
| 12 | 1965 | 4 | |
| 13 | 1952 | 2 |
About Robert E. Serfling
Robert E. Serfling is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Health, Epidemiology and Endocrinology, having authored 13 papers that have together received 658 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), Vaccine Coverage and Hesitancy (3 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), Yersinia bacterium, plague, ectoparasites research (1 paper), Celiac Disease Research and Management (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Modeling and Simulation (223 citations), Epidemiology (429 citations), Endocrinology (41 citations), Health (54 citations) and Infectious Diseases (107 citations). Robert E. Serfling has collaborated with scholars based in United States. Frequent co-authors include Donald A. Henderson, Alexander D. Langmuir, H. D. Anderson, Franklin H. Top, William E. Bunney, Richard G. Cornell, Frederick C. Robbins, Martha L. Lepow and Helen Casey. Their work appears in journals such as JAMA, American Journal of Epidemiology, Public Health Reports (1896-1970), American Journal of Public Health and the Nations Health and PubMed.
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.