F. W. S. Lima

865 total citations
71 papers, 673 citations indexed

About

F. W. S. Lima is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, F. W. S. Lima has authored 71 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistical and Nonlinear Physics, 35 papers in Condensed Matter Physics and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in F. W. S. Lima's work include Opinion Dynamics and Social Influence (49 papers), Complex Network Analysis Techniques (43 papers) and Theoretical and Computational Physics (35 papers). F. W. S. Lima is often cited by papers focused on Opinion Dynamics and Social Influence (49 papers), Complex Network Analysis Techniques (43 papers) and Theoretical and Computational Physics (35 papers). F. W. S. Lima collaborates with scholars based in Brazil, United States and Germany. F. W. S. Lima's co-authors include J. A. Plascak, Dietrich Stauffer, Krzysztof Malarz, Tarik Hadzibeganovic, R. N. Costa Filho, D. Stauffer, A. O. Sousa, U.M.S. Costa, Umberto L. Fulco and André A. Moreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Computer Physics Communications.

In The Last Decade

F. W. S. Lima

66 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. W. S. Lima Brazil 16 506 299 145 96 70 71 673
Seung Ki Baek South Korea 18 223 0.4× 198 0.7× 223 1.5× 58 0.6× 118 1.7× 82 880
Nuno Crokidakis Brazil 19 682 1.3× 143 0.5× 319 2.2× 140 1.5× 88 1.3× 55 898
Serge Galam France 15 1.1k 2.1× 150 0.5× 530 3.7× 191 2.0× 103 1.5× 24 1.3k
Vishal Sood United States 10 768 1.5× 76 0.3× 414 2.9× 70 0.7× 51 0.7× 17 1.1k
Dafang Zheng China 17 298 0.6× 245 0.8× 219 1.5× 117 1.2× 197 2.8× 48 791
Daniele Vilone Italy 11 328 0.6× 56 0.2× 293 2.0× 30 0.3× 22 0.3× 31 523
Yup Kim South Korea 12 240 0.5× 204 0.7× 47 0.3× 74 0.8× 27 0.4× 57 481
Marcelo Martins de Oliveira Brazil 12 229 0.5× 195 0.7× 80 0.6× 29 0.3× 23 0.3× 25 430
Diego F. M. Oliveira Brazil 13 351 0.7× 27 0.1× 119 0.8× 23 0.2× 33 0.5× 39 710
Jacek Miȩkisz Poland 13 112 0.2× 121 0.4× 144 1.0× 27 0.3× 21 0.3× 51 549

Countries citing papers authored by F. W. S. Lima

Since Specialization
Citations

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

Fields of papers citing papers by F. W. S. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. W. S. Lima. 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 F. W. S. Lima. The network helps show where F. W. S. Lima may publish in the future.

Co-authorship network of co-authors of F. W. S. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of F. W. S. Lima. A scholar is included among the top collaborators of F. W. S. Lima 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 F. W. S. Lima. F. W. S. Lima 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.
Brito, L., et al.. (2025). Deep Learning of the Biswas–Chatterjee–Sen Model. Entropy. 27(11). 1173–1173.
2.
Pereira, Francisco B., et al.. (2024). Social dilemmas, network reciprocity, and small-world property. Physica A Statistical Mechanics and its Applications. 655. 130184–130184. 1 indexed citations
3.
Lima, F. W. S., et al.. (2024). Critical short-time behavior of majority-vote model on scale-free networks. Physical review. E. 110(4). 44306–44306. 1 indexed citations
4.
Lima, F. W. S., et al.. (2023). Droplet finite-size scaling theory of asynchronous SIR model on quenched scale-free networks. Physica A Statistical Mechanics and its Applications. 626. 129102–129102. 1 indexed citations
5.
Lima, F. W. S., et al.. (2023). Opinion Dynamics Systems on Barabási–Albert Networks: Biswas–Chatterjee–Sen Model. Entropy. 25(2). 183–183. 6 indexed citations
6.
Lima, F. W. S., et al.. (2023). Opinion Dynamics Systems via Biswas–Chatterjee–Sen Model on Solomon Networks. Physics. 5(3). 873–882. 7 indexed citations
7.
Lima, F. W. S., et al.. (2023). Ising Ladder with Four-Spin Plaquette Interaction in a Transverse Magnetic Field. Entropy. 25(12). 1665–1665. 3 indexed citations
8.
Lima, F. W. S., et al.. (2023). Two-dimensional diffusive epidemic process in the presence of quasiperiodic and quenched disorder. Journal of Statistical Mechanics Theory and Experiment. 2023(4). 43205–43205.
9.
Lima, F. W. S., et al.. (2022). Non-equilibrium kinetic Biswas–Chatterjee–Sen model on complex networks. Physica A Statistical Mechanics and its Applications. 603. 127825–127825. 8 indexed citations
10.
Lima, F. W. S., et al.. (2021). Non-equilibrium BCS model on Apollonian networks. Physica A Statistical Mechanics and its Applications. 571. 125834–125834. 5 indexed citations
11.
Lima, F. W. S., et al.. (2020). Phase diagram of a continuous opinion dynamics on Barabasi–Albert networks. Journal of Statistical Mechanics Theory and Experiment. 2020(3). 33203–33203. 6 indexed citations
12.
Lima, F. W. S.. (2019). Tax Evasion Dynamics via Kinetic Models of Opinion Dynamics. Theoretical Economics Letters. 9(7). 2354–2361. 1 indexed citations
13.
Lima, F. W. S., et al.. (2015). Critical behavior of the spin-1 Blume-Capel model on two-dimensional Voronoi-Delaunay random lattices. Physical Review E. 92(2). 22144–22144. 6 indexed citations
14.
Lima, F. W. S. & J. A. Plascak. (2013). Critical behavior of the Ising and Blume-Capel models on directed two-dimensional small-world networks. The European Physical Journal B. 86(7). 8 indexed citations
15.
Lima, F. W. S., André A. Moreira, & Ascânio D. Araújo. (2012). Nonequilibrium model on Apollonian networks. Physical Review E. 86(5). 56109–56109. 17 indexed citations
16.
Lima, F. W. S., et al.. (2011). Ising model with spins S=1/2 and 1 on directed and undirected Erdös–Rényi random graphs. Physica A Statistical Mechanics and its Applications. 391(4). 948–953. 7 indexed citations
17.
Lima, F. W. S., et al.. (2010). Majority-vote model on triangular, honeycomb and Kagomé lattices. Physica A Statistical Mechanics and its Applications. 390(2). 359–364. 21 indexed citations
18.
Lima, F. W. S.. (2010). Potts model with q=4,6, and 8 states on Voronoi–Delaunay random lattice. Physica A Statistical Mechanics and its Applications. 389(16). 3039–3047. 5 indexed citations
19.
Lima, F. W. S., et al.. (2010). Blume–Capel model on directed and undirected small-world Voronoi–Delaunay random lattices. Computer Physics Communications. 181(7). 1218–1223. 16 indexed citations
20.
Lima, F. W. S., Umberto L. Fulco, & R. N. Costa Filho. (2005). Majority-vote model on a random lattice. Physical Review E. 71(3). 36105–36105. 37 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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