Joan L. Aron
- Public Health, Environmental and Occupational Health top 2%
- Modeling and Simulation top 0.5%
- Genetics top 10%
- Oncology
- Computer Networks and Communications top 10%
- Co-authors
- Ira B. SchwartzLynn G. RiesSandra C. SteinhornPaul H. LevineThomas W. CarrMinyoung KimRajarshi RoyMaría Cristina Schneider
- Topics
- COVID-19 epidemiological studies (8 papers)Mathematical and Theoretical Epidemiology and Ecology Models (7 papers)Mosquito-borne diseases and control (5 papers)
- Journals
- Physical Review LettersJNCI Journal of the National Cancer InstituteInternational Journal of Epidemiology
- Partner nations
- United StatesMexicoPuerto Rico
In The Last Decade
Joan L. Aron
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Public Health, Environmental and Occupational Health 583
- Modeling and Simulation 369
- Genetics 314
- Oncology 195
- Computer Networks and Communications 148
Countries citing papers authored by Joan L. Aron
This map shows the geographic impact of Joan L. Aron'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 Joan L. Aron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan L. Aron more than expected).
Fields of papers citing papers by Joan L. Aron
This network shows the impact of papers produced by Joan L. Aron. 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 Joan L. Aron. The network helps show where Joan L. Aron may publish in the future.
Co-authorship network of co-authors of Joan L. Aron
This figure shows the co-authorship network connecting the top 25 collaborators of Joan L. Aron. A scholar is included among the top collaborators of Joan L. Aron 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 Joan L. Aron. Joan L. Aron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 124 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 64 | |
| 9 | 1 | |
| 10 | 33 | |
| 11 | A model for the dynamics of transmission and progression of Trachoma in hyperendemic areas | 1 |
| 12 | 39 | |
| 13 | Applications of GIS Technology to Disease Control | 8 |
| 14 | 27 | |
| 15 | 44 | |
| 16 | 5 | |
| 17 | 229 | |
| 18 | 3 | |
| 19 | 46 | |
| 20 | 16 |
About Joan L. Aron
Joan L. Aron is a scholar working on Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Modeling and Simulation (369 citations), Public Health, Environmental and Occupational Health (583 citations) and Virology (72 citations). Joan L. Aron has collaborated with scholars based in United States, Mexico and Puerto Rico. Frequent co-authors include Ira B. Schwartz, Lynn G. Ries, Sandra C. Steinhorn, Paul H. Levine, Thomas W. Carr, Minyoung Kim, Rajarshi Roy, María Cristina Schneider, Carlos Santos‐Burgoa and Silvia Ruiz‐Velasco. Their work appears in journals such as Physical Review Letters, JNCI Journal of the National Cancer Institute and International 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.