M. Rosa

479 total citations
34 papers, 324 citations indexed

About

M. Rosa is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, M. Rosa has authored 34 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 11 papers in Public Health, Environmental and Occupational Health and 11 papers in Modeling and Simulation. Recurrent topics in M. Rosa's work include Nonlinear Waves and Solitons (16 papers), Nonlinear Photonic Systems (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). M. Rosa is often cited by papers focused on Nonlinear Waves and Solitons (16 papers), Nonlinear Photonic Systems (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). M. Rosa collaborates with scholars based in Spain, Italy and Russia. M. Rosa's 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, Gabriel F. Calvo and Juan Belmonte-Beitia and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and PLoS Computational Biology.

In The Last Decade

M. Rosa

32 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Rosa Spain 11 139 103 73 56 54 34 324
Konstantin E. Starkov Mexico 16 293 2.1× 261 2.5× 72 1.0× 146 2.6× 159 2.9× 73 716
Kaushik Dehingia India 12 148 1.1× 267 2.6× 37 0.5× 103 1.8× 75 1.4× 45 435
Kewang Chen China 10 130 0.9× 129 1.3× 65 0.9× 13 0.2× 36 0.7× 20 397
Minaya Villasana Venezuela 8 31 0.2× 190 1.8× 43 0.6× 65 1.2× 123 2.3× 13 337
Janet Dyson Italy 12 27 0.2× 198 1.9× 29 0.4× 128 2.3× 59 1.1× 32 524
Khadijeh Sadri Cyprus 17 331 2.4× 406 3.9× 26 0.4× 46 0.8× 39 0.7× 58 664
Rosanna Villella-Bressan Italy 11 17 0.1× 161 1.6× 24 0.3× 103 1.8× 42 0.8× 24 303
M. Reyes Spain 11 179 1.3× 54 0.5× 24 0.3× 37 0.7× 28 0.5× 29 303
Haidong Liu China 14 37 0.3× 109 1.1× 23 0.3× 29 0.5× 34 0.6× 59 743
Zhaojuan Wang China 14 79 0.6× 41 0.4× 13 0.2× 51 0.9× 71 1.3× 42 490

Countries citing papers authored by M. Rosa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M. Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of M. Rosa. A scholar is included among the top collaborators of M. Rosa 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 M. Rosa. M. Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Martinez, Alvaro A., Teresa Caballero‐Velázquez, Manuel Ramı́rez, et al.. (2025). Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia. Computers in Biology and Medicine. 188. 109831–109831. 1 indexed citations
2.
Álvarez, Vera A., Belén Rivero‐Gutiérrez, José L. Gómez, et al.. (2025). Comparison of clinical characteristics and survival between HER2-zero and HER2-low in early breast cancer: a retrospective observational study. Clinical & Translational Oncology. 28(3). 895–905.
3.
Martinez, Alvaro A., Teresa Caballero‐Velázquez, Manuel Ramı́rez, et al.. (2023). The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia. PLoS Computational Biology. 19(8). e1011329–e1011329. 7 indexed citations
4.
Rosa, M., Maria Lippiello, & Isaac Elishakoff. (2022). Variational Derivation of Truncated Timoshenko-Ehrenfest Beam Theory. SHILAP Revista de lepidopterología. 8 indexed citations
5.
Martinez, Alvaro A., et al.. (2022). Mathematical models of leukaemia and its treatment: a review. SeMA Journal. 79(3). 441–486. 10 indexed citations
6.
Martinez, Alvaro A., et al.. (2022). Correction to: Mathematical models of leukaemia and its treatment: a review. SeMA Journal. 79(3). 487–488.
7.
Martinez, Alvaro A., Manuel Ramı́rez, Antonio Pérez‐Martínez, et al.. (2021). A Mathematical Description of the Bone Marrow Dynamics during CAR T-Cell Therapy in B-Cell Childhood Acute Lymphoblastic Leukemia. International Journal of Molecular Sciences. 22(12). 6371–6371. 17 indexed citations
8.
Martinez, Alvaro A., et al.. (2021). Lie point symmetries for generalised Fisher's equations describing tumour dynamics. Mathematical Biosciences & Engineering. 18(4). 3291–3312. 6 indexed citations
9.
Martinez, Alvaro A., Victor M. Pérez-Garcı́a, M. Rosa, et al.. (2020). High-Dimensional Analysis of Single-Cell Flow Cytometry Data Predicts Relapse in Childhood Acute Lymphoblastic Leukaemia. Cancers. 13(1). 17–17. 12 indexed citations
10.
Rosa, M., et al.. (2020). Application of Lie point symmetries to the resolution of an interface problem in a generalized Fisher equation. Physica D Nonlinear Phenomena. 405. 132411–132411. 11 indexed citations
11.
González, Manuel, Fernando León-Saavedra, & M. Rosa. (2020). On ℓ∞-Grothendieck subspaces. Journal of Mathematical Analysis and Applications. 497(1). 124857–124857. 6 indexed citations
12.
Rosa, M., et al.. (2018). Conservation laws, symmetries, and exact solutions of the classical Burgers–Fisher equation in two dimensions. Journal of Computational and Applied Mathematics. 354. 545–550. 9 indexed citations
13.
Rosa, M., et al.. (2018). Reductions and symmetries for a generalized Fisher equation with a diffusion term dependent on density and space. Journal of Computational and Applied Mathematics. 354. 689–698. 6 indexed citations
14.
Gandarias, M.L., M. Rosa, & Rita Tracinà. (2018). Symmetry analysis for a Fisher equation with exponential diffusion. Mathematical Methods in the Applied Sciences. 41(17). 7214–7226. 5 indexed citations
15.
Gandarias, M.L., et al.. (2017). Conservation laws and symmetries of a generalized Kawahara equation. AIP conference proceedings. 1836. 20072–20072. 7 indexed citations
16.
Rosa, M., et al.. (2016). Classical symmetries, travelling wave solutions and conservation laws of a generalized Fornberg–Whitham equation. Journal of Computational and Applied Mathematics. 318. 149–155. 11 indexed citations
17.
Rosa, M., et al.. (2016). Classical and potential symmetries for a generalized Fisher equation. Journal of Computational and Applied Mathematics. 318. 181–188. 9 indexed citations
18.
Rosa, M. & M.L. Gandarias. (2016). Multiplier method and exact solutions for a density dependent reaction-diffusion equation. Applied Mathematics and Nonlinear Sciences. 1(2). 311–320. 32 indexed citations
19.
Gandarias, M.L. & M. Rosa. (2016). Symmetries and conservation laws of a damped Boussinesq equation. International Journal of Modern Physics B. 30(28n29). 1640012–1640012. 3 indexed citations
20.
Rosa, M., M. S. Bruzón, & M.L. Gandarias. (2015). Symmetry analysis and exact solutions for a generalized Fisher equation in cylindrical coordinates. Communications in Nonlinear Science and Numerical Simulation. 25(1-3). 74–83. 11 indexed citations

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.

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