M. Rosa
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Mathematical Biology Tumor Growth
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
Papers in
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- Nonlinear Waves and Solitons 16
- Nonlinear Photonic Systems 11
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- Mathematical and Theoretical Epidemiology and Ecology Models 9
- Co-authors
- M.L. Gandarias (21 shared papers)M. S. Bruzón (9 shared papers)Victor M. Pérez-Garcı́a (8 shared papers)Antonio Pérez‐Martínez (3 shared papers)Alvaro A. Martinez (8 shared papers)Manuel Ramı́rez (5 shared papers)Fernando León-Saavedra (3 shared papers)Rita Tracinà (2 shared papers)
In The Last Decade
M. Rosa
32 papers receiving 312 citations
Peers
Comparison fields: 5 of 61
- Modeling and Simulation 103
- Statistical and Nonlinear Physics 139
- Numerical Analysis 38
- Geometry and Topology 32
- Mathematical Physics 27
Countries citing papers authored by M. Rosa
This map shows the geographic impact of M. Rosa'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 M. Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rosa more than expected).
Fields of papers citing papers by M. Rosa
This network shows the impact of papers produced by M. Rosa. 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 M. Rosa. The network helps show where M. Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 34 | |
| 2 | 2016 | 32 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 17 | |
| 5 | 2012 | 15 | |
| 6 | 2015 | 15 | |
| 7 | 2020 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2016 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2017 | 7 |
About M. Rosa
M. Rosa is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Modeling and Simulation, Molecular Biology and Mathematical Physics, having authored 34 papers that have together received 324 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (16 papers), Nonlinear Photonic Systems (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Fractional Differential Equations Solutions (7 papers), Mathematical Biology Tumor Growth (5 papers), Advanced Mathematical Physics Problems (5 papers), Single-cell and spatial transcriptomics (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Modeling and Simulation (103 citations), Statistical and Nonlinear Physics (139 citations), Numerical Analysis (38 citations), Geometry and Topology (32 citations) and Mathematical Physics (27 citations). M. Rosa has collaborated with scholars based in Spain, Italy and Russia. Frequent co-authors include M.L. Gandarias, M. S. Bruzón, Victor M. Pérez-Garcı́a, Antonio Pérez‐Martínez, Alvaro A. Martinez, Manuel Ramı́rez, Fernando León-Saavedra, Rita Tracinà, Isaac Elishakoff and Maria Lippiello. Their work appears in journals such as Journal of Computational and Applied Mathematics, Communications in Nonlinear Science and Numerical Simulation, Mathematical Methods in the Applied Sciences, Chaos Solitons & Fractals and Clinical & Translational 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.