Dennis M. Feehan
- Epidemiology top 10%
- Modeling and Simulation top 1%
- General Health Professions top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Finance top 5%
- Co-authors
- Christopher J L MurrayAlan D LópezKenneth HillBrian ChinAyesha S. MahmudEmmanuela GakidouJesse Abbott-KlafterRafael Lozano
- Topics
- HIV, Drug Use, Sexual Risk (7 papers)Complex Network Analysis Techniques (6 papers)COVID-19 epidemiological studies (5 papers)
- Cited by
- Modeling and SimulationFinanceHealth
- Partner nations
- United StatesAustraliaMexico
In The Last Decade
Dennis M. Feehan
21 papers receiving 968 citations
Peers
Comparison fields: 5 of 104
- Epidemiology 353
- Modeling and Simulation 280
- General Health Professions 247
- Pediatrics, Perinatology and Child Health 226
- Finance 223
Countries citing papers authored by Dennis M. Feehan
This map shows the geographic impact of Dennis M. Feehan'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 Dennis M. Feehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis M. Feehan more than expected).
Fields of papers citing papers by Dennis M. Feehan
This network shows the impact of papers produced by Dennis M. Feehan. 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 Dennis M. Feehan. The network helps show where Dennis M. Feehan may publish in the future.
Co-authorship network of co-authors of Dennis M. Feehan
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis M. Feehan. A scholar is included among the top collaborators of Dennis M. Feehan 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 Dennis M. Feehan. Dennis M. Feehan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 98 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | Testing theories of old-age mortality using model selection techniques | 1 |
| 12 | 25 | |
| 13 | Network Reporting Methods | 1 |
| 14 | 71 | |
| 15 | 28 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 424 | |
| 19 | 133 | |
| 20 | 156 |
About Dennis M. Feehan
Dennis M. Feehan is a scholar working on Modeling and Simulation, Health and Statistical and Nonlinear Physics, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (7 papers), Complex Network Analysis Techniques (6 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (280 citations), Finance (223 citations) and Health (156 citations). Dennis M. Feehan has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Christopher J L Murray, Alan D López, Kenneth Hill, Brian Chin, Ayesha S. Mahmud, Emmanuela Gakidou, Jesse Abbott-Klafter, Rafael Lozano, Matthew Salganik and Chloe Bryson‐Cahn. Their work appears in journals such as The Lancet, Nature Communications and American Journal of Epidemiology.
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.