David Poyato
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Advanced Thermodynamics and Statistical Mechanics
- Opinion Dynamics and Social Influence
Papers in
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- Mathematical Biology Tumor Growth 4
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- Advanced Thermodynamics and Statistical Mechanics 2
- Opinion Dynamics and Social Influence 2
- Co-authors
- Juan SolerJeongho KimNicola BellomoSeung‐Yeal HaLorenzo PareschiLuisa FermoGiacomo AlbiIsabel Guerrero
- Journals
- Mathematical Models and Methods in Applied Sciences (2 papers)Physics of Life Reviews (1 paper)Nature Communications (1 paper)Journal of the European Mathematical Society (1 paper)Communications on Pure and Applied Mathematics (1 paper)
- Partner nations
- SpainFranceSouth Korea
In The Last Decade
David Poyato
10 papers receiving 228 citations
Peers
Comparison fields: 5 of 48
- Modeling and Simulation 69
- Statistical and Nonlinear Physics 87
- Computer Networks and Communications 101
- Condensed Matter Physics 41
- Applied Mathematics 34
Countries citing papers authored by David Poyato
This map shows the geographic impact of David Poyato'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 David Poyato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Poyato more than expected).
Fields of papers citing papers by David Poyato
This network shows the impact of papers produced by David Poyato. 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 David Poyato. The network helps show where David Poyato may publish in the future.
Co-authors
The 13 scholars most cited alongside David Poyato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2019 | 150 | |
| 9 | 2017 | 52 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 1 |
About David Poyato
David Poyato is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Applied Mathematics, Condensed Matter Physics and Ocean Engineering, having authored 11 papers that have together received 245 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (4 papers), Navier-Stokes equation solutions (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Opinion Dynamics and Social Influence (2 papers), Evacuation and Crowd Dynamics (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Fluid Dynamics and Turbulent Flows (1 paper) and Geometry and complex manifolds (1 paper). The work is most often cited by research in Modeling and Simulation (69 citations), Statistical and Nonlinear Physics (87 citations), Computer Networks and Communications (101 citations), Condensed Matter Physics (41 citations) and Applied Mathematics (34 citations). David Poyato has collaborated with scholars based in Spain, France and South Korea. Frequent co-authors include Juan Soler, Jeongho Kim, Nicola Bellomo, Seung‐Yeal Ha, Lorenzo Pareschi, Luisa Fermo, Giacomo Albi, Isabel Guerrero, Vincent Cálvez and Alberto Enciso. Their work appears in journals such as Mathematical Models and Methods in Applied Sciences, Physics of Life Reviews, Nature Communications, Journal of the European Mathematical Society and Communications on Pure and Applied Mathematics.
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.