Richard Heffernan
- Epidemiology top 1%
- Infectious Diseases top 2%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Parasitology top 2%
- Co-authors
- Farzad MostashariMartin KulldorffJessica HartmanRenato AssunçãoDon WeissDebjani DasAdam KarpatiDurland Fish
- Topics
- Data-Driven Disease Surveillance (11 papers)Influenza Virus Research Studies (10 papers)COVID-19 epidemiological studies (7 papers)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Richard Heffernan
29 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Epidemiology 1.6k
- Infectious Diseases 659
- Modeling and Simulation 454
- Public Health, Environmental and Occupational Health 408
- Parasitology 229
Countries citing papers authored by Richard Heffernan
This map shows the geographic impact of Richard Heffernan'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 Richard Heffernan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Heffernan more than expected).
Fields of papers citing papers by Richard Heffernan
This network shows the impact of papers produced by Richard Heffernan. 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 Richard Heffernan. The network helps show where Richard Heffernan may publish in the future.
Co-authorship network of co-authors of Richard Heffernan
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Heffernan. A scholar is included among the top collaborators of Richard Heffernan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Heffernan. Richard Heffernan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 63 | |
| 3 | 32 | |
| 4 | 70 | |
| 5 | 100 | |
| 6 | 36 | |
| 7 | Clostridium perfringens infection among inmates at a county jail - Wisconsin, August 2008. | 7 |
| 8 | 6 | |
| 9 | 157 | |
| 10 | 136 | |
| 11 | 76 | |
| 12 | 19 | |
| 13 | A Space–Time Permutation Scan Statistic for Disease Outbreak Detectionbreakdown → | 878 |
| 14 | 58 | |
| 15 | Three years of emergency department gastrointestinal syndromic surveillance in New York City: what have we found? | 38 |
| 16 | 42 | |
| 17 | 187 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 87 |
About Richard Heffernan
Richard Heffernan is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), Influenza Virus Research Studies (10 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Modeling and Simulation (454 citations), Epidemiology (1.6k citations) and Infectious Diseases (659 citations). Richard Heffernan has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Farzad Mostashari, Martin Kulldorff, Jessica Hartman, Renato Assunção, Don Weiss, Debjani Das, Adam Karpati, Durland Fish, Terry L. Schulze and Joseph Piesman. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and American Journal of Public 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.