Nicholas DeFelice
- Modeling and Simulation top 5%
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Health, Toxicology and Mutagenesis
- Sociology and Political Science
- Co-authors
- Jacqueline MacDonald GibsonEliza LittleScott R. CampbellJeffrey ShamanJill JohnstonDaniel CarriónKodi B. ArferAllan C. Just
- Topics
- COVID-19 epidemiological studies (7 papers)Mosquito-borne diseases and control (5 papers)Climate Change and Health Impacts (5 papers)
- Partner nations
- United StatesColombiaUnited Kingdom
In The Last Decade
Nicholas DeFelice
23 papers receiving 332 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 102
- Infectious Diseases 93
- Public Health, Environmental and Occupational Health 92
- Health, Toxicology and Mutagenesis 63
- Sociology and Political Science 54
Countries citing papers authored by Nicholas DeFelice
This map shows the geographic impact of Nicholas DeFelice'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 Nicholas DeFelice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas DeFelice more than expected).
Fields of papers citing papers by Nicholas DeFelice
This network shows the impact of papers produced by Nicholas DeFelice. 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 Nicholas DeFelice. The network helps show where Nicholas DeFelice may publish in the future.
Co-authorship network of co-authors of Nicholas DeFelice
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas DeFelice. A scholar is included among the top collaborators of Nicholas DeFelice 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 Nicholas DeFelice. Nicholas DeFelice is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 41 | |
| 13 | 0 | |
| 14 | 39 | |
| 15 | 71 | |
| 16 | 25 | |
| 17 | 9 | |
| 18 | 35 | |
| 19 | 23 | |
| 20 | 9 |
About Nicholas DeFelice
Nicholas DeFelice is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis and Infectious Diseases, having authored 26 papers that have together received 337 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Mosquito-borne diseases and control (5 papers) and Climate Change and Health Impacts (5 papers). The work is most often cited by research in Modeling and Simulation (102 citations), Infectious Diseases (93 citations) and Health, Toxicology and Mutagenesis (63 citations). Nicholas DeFelice has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent co-authors include Jacqueline MacDonald Gibson, Eliza Little, Scott R. Campbell, Jeffrey Shaman, Jill Johnston, Daniel Carrión, Kodi B. Arfer, Allan C. Just, Johnathan Rush and Elena Colicino. Their work appears in journals such as Nature Communications, Environmental Science & Technology and PLoS ONE.
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.