Bartolo Luque

4.6k total citations · 2 hit papers
50 papers, 3.0k citations indexed

About

Bartolo Luque is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, Bartolo Luque has authored 50 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 16 papers in Molecular Biology and 11 papers in Economics and Econometrics. Recurrent topics in Bartolo Luque's work include Gene Regulatory Network Analysis (13 papers), Complex Network Analysis Techniques (12 papers) and Complex Systems and Time Series Analysis (11 papers). Bartolo Luque is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Complex Network Analysis Techniques (12 papers) and Complex Systems and Time Series Analysis (11 papers). Bartolo Luque collaborates with scholars based in Spain, Mexico and United Kingdom. Bartolo Luque's co-authors include Lucas Lacasa, Fernando Ballesteros, Jordi Luque, Juan Carlos Nuño, Jordi Bascompte, Antonio Ferrera, Ugo Bastolla, Alberto Pascual‐García, Miguel A. Fortuna and Ricard V. Solé and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Bartolo Luque

50 papers receiving 2.9k citations

Hit Papers

From time series to complex networks: The visibility graph 2008 2026 2014 2020 2008 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bartolo Luque Spain 19 901 880 584 376 373 50 3.0k
Francisco A. Rodrigues Brazil 28 2.2k 2.5× 529 0.6× 241 0.4× 660 1.8× 561 1.5× 131 5.0k
Miguel A. Muñoz Spain 39 2.3k 2.5× 506 0.6× 204 0.3× 1.2k 3.1× 552 1.5× 160 5.5k
Mikhail Prokopenko Australia 29 954 1.1× 398 0.5× 112 0.2× 742 2.0× 356 1.0× 128 3.2k
Joseph T. Lizier Australia 35 924 1.0× 422 0.5× 148 0.3× 1.8k 4.8× 390 1.0× 90 3.8k
M. Carmen Romano United Kingdom 27 1.4k 1.5× 1.0k 1.1× 47 0.1× 1.0k 2.7× 789 2.1× 67 4.8k
Thilo Groß Germany 32 1.4k 1.5× 133 0.2× 396 0.7× 510 1.4× 653 1.8× 91 4.1k
Yong Zou China 30 1.8k 2.0× 1.6k 1.8× 78 0.1× 734 2.0× 408 1.1× 164 5.0k
Fernando M. Ramos Brazil 25 239 0.3× 309 0.4× 67 0.1× 116 0.3× 88 0.2× 111 2.2k
Jonathan M. Nichols United States 25 318 0.4× 172 0.2× 123 0.2× 92 0.2× 83 0.2× 121 2.9k
Martin Casdagli United States 14 1.9k 2.1× 1.3k 1.5× 47 0.1× 728 1.9× 313 0.8× 16 4.1k

Countries citing papers authored by Bartolo Luque

Since Specialization
Citations

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

Fields of papers citing papers by Bartolo Luque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartolo Luque

This figure shows the co-authorship network connecting the top 25 collaborators of Bartolo Luque. A scholar is included among the top collaborators of Bartolo Luque 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 Bartolo Luque. Bartolo Luque 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.
Muro, Enrique M., Fernando Ballesteros, Bartolo Luque, & Jordi Bascompte. (2025). The emergence of eukaryotes as an evolutionary algorithmic phase transition. Proceedings of the National Academy of Sciences. 122(13). e2422968122–e2422968122. 1 indexed citations
2.
Torre, Iván G., Bartolo Luque, Lucas Lacasa, Christopher T. Kello, & Antoni Hernández-Fernändez. (2019). On the physical origin of linguistic laws and lognormality in speech. Royal Society Open Science. 6(8). 191023–191023. 44 indexed citations
3.
Torre, Iván G., Bartolo Luque, Lucas Lacasa, Jordi Luque, & Antoni Hernández-Fernändez. (2017). Emergence of linguistic laws in human voice. Scientific Reports. 7(1). 43862–43862. 15 indexed citations
4.
Luque, Bartolo & Lucas Lacasa. (2017). Canonical horizontal visibility graphs are uniquely determined by their degree sequence. The European Physical Journal Special Topics. 226(3). 383–389. 18 indexed citations
5.
Luque, Bartolo, et al.. (2013). Quasiperiodic Graphs: Structural Design, Scaling and Entropic Properties. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 18 indexed citations
6.
Luque, Bartolo, et al.. (2013). Horizontal visibility graphs generated by type-I intermittency. Physical Review E. 87(5). 52801–52801. 35 indexed citations
7.
Lacasa, Lucas & Bartolo Luque. (2012). Phase transition in the countdown problem. Physical Review E. 86(1). 10105–10105. 1 indexed citations
8.
Lacasa, Lucas, et al.. (2012). Time series irreversibility: a visibility graph approach. The European Physical Journal B. 85(6). 156 indexed citations
9.
Luque, Bartolo, Lucas Lacasa, Fernando Ballesteros, & A. Robledo. (2011). Feigenbaum Graphs: A Complex Network Perspective of Chaos. PLoS ONE. 6(9). e22411–e22411. 74 indexed citations
10.
Bastolla, Ugo, Miguel A. Fortuna, Alberto Pascual‐García, et al.. (2009). The architecture of mutualistic networks minimizes competition and increases biodiversity. Nature. 458(7241). 1018–1020. 751 indexed citations breakdown →
11.
Lacasa, Lucas, Bartolo Luque, Fernando Ballesteros, Jordi Luque, & Juan Carlos Nuño. (2008). From time series to complex networks: The visibility graph. Proceedings of the National Academy of Sciences. 105(13). 4972–4975. 1237 indexed citations breakdown →
12.
Bascompte, Jordi, et al.. (2007). A probabilistic model of reserve design. Journal of Theoretical Biology. 247(1). 205–211. 4 indexed citations
13.
Luque, Bartolo, et al.. (2007). Self-overlap as a method of analysis in Ising models. Physical Review E. 75(6). 61103–61103. 1 indexed citations
14.
Luque, Bartolo, Lucas Lacasa, & Octavio Miramontes. (2007). Phase transition in a stochastic prime-number generator. Physical Review E. 76(1). 10103–10103. 5 indexed citations
15.
Luque, Bartolo & Fernando Ballesteros. (2004). Random walk networks. Physica A Statistical Mechanics and its Applications. 342(1-2). 207–213. 10 indexed citations
16.
Miramontes, Octavio & Bartolo Luque. (2002). Dynamical small-world behavior in an epidemical model of mobile individuals. Physica D Nonlinear Phenomena. 168-169. 379–385. 34 indexed citations
17.
Luque, Bartolo & Ricard V. Solé. (1997). Phase transitions in random networks: Simple analytic determination of critical points. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 55(1). 257–260. 65 indexed citations
18.
Luque, Bartolo & Ricard V. Solé. (1997). Controlling chaos in random Boolean networks. Europhysics Letters (EPL). 37(9). 597–602. 14 indexed citations
19.
Luque, Bartolo, et al.. (1995). Phase transitions and complex systems. 35 indexed citations
20.
Solé, Ricard V. & Bartolo Luque. (1994). Phase transitions and antichaos in generalized Kauffman networks. Physics Letters A. 196(1-2). 331–334. 5 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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