Pablo M. Rodríguez

618 total citations
27 papers, 347 citations indexed

About

Pablo M. Rodríguez is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Algebra and Number Theory. According to data from OpenAlex, Pablo M. Rodríguez has authored 27 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 10 papers in Mathematical Physics and 4 papers in Algebra and Number Theory. Recurrent topics in Pablo M. Rodríguez's work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (11 papers) and Stochastic processes and statistical mechanics (10 papers). Pablo M. Rodríguez is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (11 papers) and Stochastic processes and statistical mechanics (10 papers). Pablo M. Rodríguez collaborates with scholars based in Brazil, Italy and Colombia. Pablo M. Rodríguez's co-authors include Guilherme Ferraz de Arruda, Francisco A. Rodrigues, Luciano da Fontoura Costa, Yamir Moreno, Fábio P. Machado, Giovanni Petri, Rabiya Majeed‐Ariss, Catherine White, Emanuele Cozzo and Rinaldo B. Schinazi and has published in prestigious journals such as Nature Communications, Review of Scientific Instruments and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Pablo M. Rodríguez

23 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo M. Rodríguez Brazil 9 206 66 37 34 27 27 347
Balázs Szendröi United Kingdom 11 199 1.0× 34 0.5× 165 4.5× 12 0.4× 31 1.1× 24 507
A. S. Cârstea Romania 11 371 1.8× 20 0.3× 44 1.2× 31 0.9× 36 1.3× 42 582
Daniel Grady United States 7 150 0.7× 34 0.5× 17 0.5× 28 0.8× 42 1.6× 14 369
Gábor Lippner United States 8 124 0.6× 325 4.9× 31 0.8× 21 0.6× 31 1.1× 26 541
Andrea Giacobbe Italy 12 149 0.7× 11 0.2× 26 0.7× 17 0.5× 26 1.0× 43 417
S. De Lillo Italy 15 311 1.5× 35 0.5× 100 2.7× 27 0.8× 49 1.8× 65 553
Manh Hong Duong United Kingdom 11 127 0.6× 113 1.7× 35 0.9× 8 0.2× 28 1.0× 55 385
Damien Simon France 10 127 0.6× 40 0.6× 101 2.7× 9 0.3× 46 1.7× 12 498
Su Yi China 15 192 0.9× 37 0.6× 15 0.4× 51 1.5× 23 0.9× 63 745

Countries citing papers authored by Pablo M. Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Pablo M. Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo M. Rodríguez. 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 Pablo M. Rodríguez. The network helps show where Pablo M. Rodríguez may publish in the future.

Co-authorship network of co-authors of Pablo M. Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo M. Rodríguez. A scholar is included among the top collaborators of Pablo M. Rodríguez 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 Pablo M. Rodríguez. Pablo M. Rodríguez 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.
Rodríguez, Pablo M., et al.. (2025). Critical thresholds in stochastic rumors on trees. Chaos Solitons & Fractals. 201. 117373–117373.
2.
Gómez, Luz Marina Gómez, et al.. (2024). The impact of effective participation in stopping misinformation: an approach based on branching processes. Journal of Statistical Mechanics Theory and Experiment. 2024(3). 33402–33402. 1 indexed citations
3.
Arruda, Guilherme Ferraz de, Giovanni Petri, Pablo M. Rodríguez, & Yamir Moreno. (2023). Multistability, intermittency, and hybrid transitions in social contagion models on hypergraphs. Nature Communications. 14(1). 1375–1375. 45 indexed citations
4.
Rodríguez, Pablo M., et al.. (2023). On the role of reduced habitat in the phase transition of a stochastic model for seed dispersal. Mathematical Methods in the Applied Sciences. 46(9). 10540–10553.
5.
Rodríguez, Pablo M., et al.. (2022). The Bell–Touchard counting process. Applied Mathematics and Computation. 444. 127741–127741. 6 indexed citations
6.
Rodríguez, Pablo M., et al.. (2021). Stochastic rumors on random trees. Journal of Statistical Mechanics Theory and Experiment. 2021(12). 123403–123403. 3 indexed citations
7.
Rodríguez, Pablo M., et al.. (2020). On the characterization of the space of derivations in evolution algebras. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 8 indexed citations
8.
Rodríguez, Pablo M., et al.. (2020). Limit theorems for a stochastic model of adoption and abandonment innovation on homogeneously mixing populations. Journal of Statistical Mechanics Theory and Experiment. 2020(3). 33404–33404.
9.
Rodríguez, Pablo M., et al.. (2020). A note on a stage-specific predator–prey stochastic model. Physica A Statistical Mechanics and its Applications. 553. 124575–124575. 6 indexed citations
10.
Rodríguez, Pablo M., et al.. (2018). Characterization theorems for the spaces of derivations of evolution algebras associated to graphs. Linear and Multilinear Algebra. 68(7). 1340–1354. 12 indexed citations
11.
Arruda, Guilherme Ferraz de, Francisco A. Rodrigues, Pablo M. Rodríguez, Emanuele Cozzo, & Yamir Moreno. (2017). A general Markov chain approach for disease and rumour spreading in complex networks. Journal of Complex Networks. 6(2). 215–242. 20 indexed citations
12.
Rodríguez, Pablo M., et al.. (2017). On the existence of accessibility in a tree-indexed percolation model. Physica A Statistical Mechanics and its Applications. 492. 382–388. 3 indexed citations
13.
Bertacchi, Daniela, Pablo M. Rodríguez, & Fabio Zucca. (2016). Galton-Watson processes in varying environment and accessibility percolation. arXiv (Cornell University). 1 indexed citations
14.
Arruda, Guilherme Ferraz de, et al.. (2014). Role of centrality for the identification of influential spreaders in complex networks. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 114 indexed citations
15.
Garcia, Nancy L., et al.. (2014). Rumor Processes on $$\mathbb {N}$$ N and Discrete Renewal Processes. Journal of Statistical Physics. 155(3). 591–602. 7 indexed citations
16.
Rodríguez, Pablo M., et al.. (2013). A connection between a system of random walks and rumor transmission. Physica A Statistical Mechanics and its Applications. 392(23). 5793–5800. 8 indexed citations
17.
Machado, Fábio P., et al.. (2011). Limit Theorems for a General Stochastic Rumour Model. SIAM Journal on Applied Mathematics. 71(4). 1476–1486. 18 indexed citations
18.
Rodríguez, Pablo M., et al.. (2008). The disk-percolation model on graphs. Statistics & Probability Letters. 78(14). 2130–2136. 7 indexed citations
19.
Rodrı́guez-Rodrigo, L., et al.. (1999). X-ray diagnostic systems for the TJ–II flexible heliac. Review of Scientific Instruments. 70(1). 642–644. 20 indexed citations
20.
Ochando, M. A., et al.. (1999). Bolometry systems for the TJ-II flexible heliac. Review of Scientific Instruments. 70(1). 384–386. 8 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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