Glenn F. Webb
- Modeling and Simulation top 0.02%
- Public Health, Environmental and Occupational Health top 0.2%
- Applied Mathematics top 0.2%
- Genetics top 1%
- Control and Systems Engineering top 0.5%
- Co-authors
- Curtis C. TravisPierre MagalShigui RuanErika M. C. D’AgataDenise E. KirschnerOusmane SeydiMats GyllenbergJanet Dyson
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (55 papers)Mathematical Biology Tumor Growth (43 papers)COVID-19 epidemiological studies (35 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesFranceItaly
In The Last Decade
Glenn F. Webb
183 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Modeling and Simulation 3.2k
- Public Health, Environmental and Occupational Health 3.1k
- Applied Mathematics 1.7k
- Genetics 1.4k
- Control and Systems Engineering 1.3k
Countries citing papers authored by Glenn F. Webb
This map shows the geographic impact of Glenn F. Webb'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 Glenn F. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn F. Webb more than expected).
Fields of papers citing papers by Glenn F. Webb
This network shows the impact of papers produced by Glenn F. Webb. 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 Glenn F. Webb. The network helps show where Glenn F. Webb may publish in the future.
Co-authorship network of co-authors of Glenn F. Webb
This figure shows the co-authorship network connecting the top 25 collaborators of Glenn F. Webb. A scholar is included among the top collaborators of Glenn F. Webb 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 Glenn F. Webb. Glenn F. Webb 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 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 22 | |
| 8 | 113 | |
| 9 | 21 | |
| 10 | 40 | |
| 11 | 17 | |
| 12 | 72 | |
| 13 | Nonautonomous functional equations and nonlinear evolution operators | 5 |
| 14 | 7 | |
| 15 | 43 | |
| 16 | 105 | |
| 17 | 12 | |
| 18 | 74 | |
| 19 | 109 | |
| 20 | 14 |
About Glenn F. Webb
Glenn F. Webb is a scholar working on Modeling and Simulation, Mathematical Physics and Numerical Analysis, having authored 184 papers that have together received 8.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (55 papers), Mathematical Biology Tumor Growth (43 papers) and COVID-19 epidemiological studies (35 papers). The work is most often cited by research in Modeling and Simulation (3.2k citations), Applied Mathematics (1.7k citations) and Numerical Analysis (655 citations). Glenn F. Webb has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Curtis C. Travis, Pierre Magal, Shigui Ruan, Erika M. C. D’Agata, Denise E. Kirschner, Ousmane Seydi, Mats Gyllenberg, Janet Dyson, Rosanna Villella-Bressan and C. Connell McCluskey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.