Ovide Arino
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Applied Mathematics top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Andrea De GaetanoMarek KimmelMihály PitukRafael Bravo de la ParraEva SánchezTibor KrisztinGlenn F. WebbFrank Traganos
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (21 papers)Mathematical Biology Tumor Growth (12 papers)Nonlinear Differential Equations Analysis (10 papers)
- Journals
- Journal of Theoretical BiologyJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Ovide Arino
44 papers receiving 991 citations
Peers
Comparison fields: 5 of 111
- Public Health, Environmental and Occupational Health 301
- Modeling and Simulation 290
- Applied Mathematics 239
- Molecular Biology 238
- Endocrinology, Diabetes and Metabolism 199
Countries citing papers authored by Ovide Arino
This map shows the geographic impact of Ovide Arino'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 Ovide Arino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ovide Arino more than expected).
Fields of papers citing papers by Ovide Arino
This network shows the impact of papers produced by Ovide Arino. 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 Ovide Arino. The network helps show where Ovide Arino may publish in the future.
Co-authorship network of co-authors of Ovide Arino
This figure shows the co-authorship network connecting the top 25 collaborators of Ovide Arino. A scholar is included among the top collaborators of Ovide Arino 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 Ovide Arino. Ovide Arino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 21 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 50 | |
| 8 | 9 | |
| 9 | 241 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 43 | |
| 13 | 2 | |
| 14 | 56 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 0 | |
| 19 | 39 | |
| 20 | 37 |
About Ovide Arino
Ovide Arino is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Mathematical Biology Tumor Growth (12 papers) and Nonlinear Differential Equations Analysis (10 papers). The work is most often cited by research in Modeling and Simulation (290 citations), Numerical Analysis (159 citations) and Applied Mathematics (239 citations). Ovide Arino has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Andrea De Gaetano, Marek Kimmel, Mihály Pituk, Rafael Bravo de la Parra, Eva Sánchez, Tibor Krisztin, Glenn F. Webb, Frank Traganos, Zbigniew Darżynkiewicz and Pierre Auger. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.