Luís Almeida

1.4k total citations
48 papers, 863 citations indexed

About

Luís Almeida is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Luís Almeida has authored 48 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 12 papers in Public Health, Environmental and Occupational Health and 12 papers in Cell Biology. Recurrent topics in Luís Almeida's work include Mathematical Biology Tumor Growth (13 papers), Insect symbiosis and bacterial influences (11 papers) and Cellular Mechanics and Interactions (10 papers). Luís Almeida is often cited by papers focused on Mathematical Biology Tumor Growth (13 papers), Insect symbiosis and bacterial influences (11 papers) and Cellular Mechanics and Interactions (10 papers). Luís Almeida collaborates with scholars based in France, Italy and Portugal. Luís Almeida's co-authors include António Jacinto, Nicolas Vauchelet, Telmo Pereira, Tommaso Lorenzi, Fabrice Béthuel, Patrizia Bagnerini, João V. Cordeiro, Yannick Privat, Agustí Brugués and Yusuke Toyama and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Luís Almeida

46 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luís Almeida France 15 360 216 194 154 108 48 863
P. K. Maini United Kingdom 13 141 0.4× 199 0.9× 64 0.3× 210 1.4× 115 1.1× 30 592
Stefano Di Talia United States 24 703 2.0× 1.9k 8.6× 279 1.4× 158 1.0× 98 0.9× 51 2.4k
Dirk Dormann United Kingdom 24 762 2.1× 837 3.9× 294 1.5× 52 0.3× 45 0.4× 36 1.7k
Xingbo Yang United States 13 428 1.2× 256 1.2× 380 2.0× 31 0.2× 100 0.9× 24 1.1k
Chuan Xue United States 13 246 0.7× 334 1.5× 107 0.6× 465 3.0× 77 0.7× 20 708
Olivier Cochet‐Escartin France 18 598 1.7× 452 2.1× 411 2.1× 41 0.3× 10 0.1× 36 1.2k
Raluca Eftimie United Kingdom 20 223 0.6× 817 3.8× 139 0.7× 755 4.9× 316 2.9× 81 1.9k
G. C. Cruywagen United States 12 156 0.4× 127 0.6× 61 0.3× 387 2.5× 80 0.7× 22 679
Diana E. Woodward United States 11 129 0.4× 167 0.8× 93 0.5× 430 2.8× 41 0.4× 21 861
Julio M. Belmonte United States 15 452 1.3× 457 2.1× 265 1.4× 142 0.9× 30 0.3× 22 1.1k

Countries citing papers authored by Luís Almeida

Since Specialization
Citations

This map shows the geographic impact of Luís Almeida'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 Luís Almeida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luís Almeida more than expected).

Fields of papers citing papers by Luís Almeida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luís Almeida. 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 Luís Almeida. The network helps show where Luís Almeida may publish in the future.

Co-authorship network of co-authors of Luís Almeida

This figure shows the co-authorship network connecting the top 25 collaborators of Luís Almeida. A scholar is included among the top collaborators of Luís Almeida 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 Luís Almeida. Luís Almeida 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.
Almeida, Luís, et al.. (2024). Vector-borne disease outbreak control via instant releases. Journal of Mathematical Biology. 89(6). 63–63. 4 indexed citations
2.
Flint, Melanie S., et al.. (2024). An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids. Physical Biology. 21(2). 26003–26003. 2 indexed citations
3.
Almeida, Luís, et al.. (2023). Steady-state solutions for a reaction–diffusion equation with Robin boundary conditions: Application to the control of dengue vectors. European Journal of Applied Mathematics. 35(3). 382–408. 1 indexed citations
4.
Lorenzi, Tommaso, et al.. (2022). A mathematical model to study the impact of intra-tumour heterogeneity on anti-tumour CD8+ T cell immune response. Journal of Theoretical Biology. 538. 111028–111028. 14 indexed citations
5.
Almeida, Luís, et al.. (2022). A Hybrid Discrete–Continuum Modelling Approach to Explore the Impact of T-Cell Infiltration on Anti-tumour Immune Response. Bulletin of Mathematical Biology. 84(12). 141–141. 8 indexed citations
6.
Almeida, Luís, et al.. (2019). Energy and implicit discretization of the Fokker-Planck and Keller-Segel type equations. Networks and Heterogeneous Media. 14(1). 23–41. 18 indexed citations
7.
Almeida, Luís, et al.. (2019). Evolution of cancer cell populations under cytotoxic therapy and treatment optimisation: insight from a phenotype-structured model. ESAIM Mathematical Modelling and Numerical Analysis. 53(4). 1157–1190. 25 indexed citations
8.
Almeida, Luís, et al.. (2019). Mosquito population control strategies for fighting against arboviruses. Mathematical Biosciences & Engineering. 16(6). 6274–6297. 28 indexed citations
9.
Vauchelet, Nicolas, et al.. (2018). Oscillatory regimes in a mosquito population model with larval feedback\n on egg hatching. arXiv (Cornell University). 2 indexed citations
10.
Ferrand, Nathalie, et al.. (2018). A chemotaxis-based explanation of spheroid formation in 3D cultures of\n breast cancer cells. arXiv (Cornell University). 12 indexed citations
11.
Buguin, Axel, et al.. (2016). Traveling Pulses for a Two-Species Chemotaxis Model. PLoS Computational Biology. 12(4). e1004843–e1004843. 19 indexed citations
12.
Chisholm, Rebecca H., Tommaso Lorenzi, Alexander Lorz, et al.. (2015). Emergence of Drug Tolerance in Cancer Cell Populations: An Evolutionary Outcome of Selection, Nongenetic Instability, and Stress-Induced Adaptation. Cancer Research. 75(6). 930–939. 93 indexed citations
13.
Vedula, Sri Ram Krishna, Grégoire Peyret, Ibrahim Cheddadi, et al.. (2015). Mechanics of epithelial closure over non-adherent environments. Nature Communications. 6(1). 6111–6111. 99 indexed citations
14.
Ravasio, Andrea, Ibrahim Cheddadi, Tianchi Chen, et al.. (2015). Gap geometry dictates epithelial closure efficiency. Nature Communications. 6(1). 7683–7683. 115 indexed citations
15.
Almeida, Luís, et al.. (2015). Existence and diffusive limit of a two-species kinetic model of chemotaxis. Kinetic and Related Models. 8(2). 359–380. 9 indexed citations
16.
Almeida, Luís & Jacques Demongeot. (2012). Predictive Power of “A Minima” Models in Biology. Acta Biotheoretica. 60(1-2). 3–19. 6 indexed citations
17.
Almeida, Luís, Yuxin Ge, & Giandomenico Orlandi. (2005). Some connections between symmetry results for semilinear PDE in real and hyperbolic spaces. Journal of Mathematical Analysis and Applications. 311(2). 626–634. 4 indexed citations
18.
Almeida, Luís. (1999). Threshold transition energies for Ginzburg-Landau functionals. Nonlinearity. 12(5). 1389–1414. 4 indexed citations
19.
Almeida, Luís & Fabrice Béthuel. (1998). Topological methods for the Ginzburg-Landau equations. Journal de Mathématiques Pures et Appliquées. 77(1). 1–49. 41 indexed citations
20.
Almeida, Luís. (1995). The regularity problem for generalized harmonic maps into homogeneous spaces. Calculus of Variations and Partial Differential Equations. 3(2). 193–242. 7 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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