Lucas Lacasa

4.5k total citations · 1 hit paper
73 papers, 3.0k citations indexed

About

Lucas Lacasa is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Computational Theory and Mathematics. According to data from OpenAlex, Lucas Lacasa has authored 73 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistical and Nonlinear Physics, 25 papers in Economics and Econometrics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Lucas Lacasa's work include Complex Network Analysis Techniques (25 papers), Complex Systems and Time Series Analysis (20 papers) and Opinion Dynamics and Social Influence (15 papers). Lucas Lacasa is often cited by papers focused on Complex Network Analysis Techniques (25 papers), Complex Systems and Time Series Analysis (20 papers) and Opinion Dynamics and Social Influence (15 papers). Lucas Lacasa collaborates with scholars based in Spain, United Kingdom and Mexico. Lucas Lacasa's co-authors include Bartolo Luque, Fernando Ballesteros, Jordi Luque, Juan Carlos Nuño, Raúl Toral, Jacopo Iacovacci, A. Robledo, Jesús Gómez‐Gardeñes, Édgar Roldán and Juan M. R. Parrondo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Lucas Lacasa

70 papers receiving 2.9k citations

Hit Papers

From time series to complex networks: The visibility graph 2008 2026 2014 2020 2008 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
Lucas Lacasa Spain 25 1.2k 1.1k 460 458 400 73 3.0k
Massimiliano Zanin Spain 31 843 0.7× 1.6k 1.4× 618 1.3× 260 0.6× 448 1.1× 151 4.0k
Huijie Yang China 21 687 0.6× 959 0.8× 291 0.6× 183 0.4× 277 0.7× 159 2.0k
Luciano Zunino Argentina 30 2.1k 1.7× 1.7k 1.5× 496 1.1× 406 0.9× 445 1.1× 86 3.6k
Yong Zou China 30 1.6k 1.3× 1.8k 1.6× 734 1.6× 496 1.1× 353 0.9× 164 5.0k
Jordi Luque Spain 13 596 0.5× 455 0.4× 261 0.6× 361 0.8× 353 0.9× 42 1.6k
Francisco A. Rodrigues Brazil 28 529 0.4× 2.2k 2.0× 660 1.4× 144 0.3× 587 1.5× 131 5.0k
Juan Carlos Nuño Spain 15 583 0.5× 500 0.4× 238 0.5× 233 0.5× 201 0.5× 44 1.9k
Kang Hao Cheong Singapore 38 269 0.2× 948 0.8× 300 0.7× 147 0.3× 1.1k 2.9× 190 4.2k
Eric D. Kolaczyk United States 34 265 0.2× 898 0.8× 666 1.4× 281 0.6× 1.1k 2.6× 115 4.8k
Hartmut Jürgens Germany 11 515 0.4× 758 0.7× 156 0.3× 123 0.3× 554 1.4× 19 3.2k

Countries citing papers authored by Lucas Lacasa

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Lacasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Lacasa

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Lacasa. A scholar is included among the top collaborators of Lucas Lacasa 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 Lucas Lacasa. Lucas Lacasa 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.
Lacasa, Lucas, et al.. (2025). Scalar embedding of temporal network trajectories. Chaos Solitons & Fractals. 199. 116599–116599.
2.
Galla, Tobias, et al.. (2025). Characterizing the dynamics of unlabeled temporal networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(5).
3.
Lacasa, Lucas, et al.. (2025). Towards certification: A complete statistical validation pipeline for supervised learning in industry. Expert Systems with Applications. 277. 127169–127169. 2 indexed citations
4.
Hervías‐Parejo, Sandra, Lucas Lacasa, Anna Traveset, et al.. (2024). On the structure of species-function participation in multilayer ecological networks. Nature Communications. 15(1). 8910–8910. 6 indexed citations
5.
Lacasa, Lucas, et al.. (2023). Irreversibility of symbolic time series: A cautionary tale. Physical review. E. 108(1). 14201–14201. 1 indexed citations
6.
Eguı́luz, Vı́ctor M., et al.. (2023). Lyapunov exponents for temporal networks. Physical review. E. 107(4). 11 indexed citations
7.
Challen, Robert, Gareth J Griffith, Lucas Lacasa, & Krasimira Tsaneva‐Atanasova. (2022). Algorithmic hospital catchment area estimation using label propagation. BMC Health Services Research. 22(1). 828–828. 1 indexed citations
8.
Lacasa, Lucas, Jorge Rodríguez, & Vı́ctor M. Eguı́luz. (2022). Supplemental Material for “Correlations of network trajectories”. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 11 indexed citations
9.
Lacasa, Lucas, Robert Challen, Ellen Brooks‐Pollock, & León Danon. (2021). Correction: A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic. PLoS ONE. 16(4). e0251222–e0251222. 2 indexed citations
10.
Danon, León, Lucas Lacasa, & Ellen Brooks‐Pollock. (2021). Household bubbles and COVID-19 transmission: insights from percolation theory. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200284–20200284. 12 indexed citations
11.
Lacasa, Lucas, Sebastiano Stramaglia, & Daniele Marinazzo. (2021). Beyond pairwise network similarity: exploring mediation and suppression between networks. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 9 indexed citations
12.
Lacasa, Lucas, Robert Challen, Ellen Brooks‐Pollock, & León Danon. (2020). A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic. PLoS ONE. 15(10). e0241027–e0241027. 21 indexed citations
13.
Hernández-Fernändez, Antoni, et al.. (2019). Linguistic Laws in Speech: The Case of Catalan and Spanish. Entropy. 21(12). 1153–1153. 21 indexed citations
14.
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
15.
Stramaglia, Sebastiano, et al.. (2017). Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks. Network Neuroscience. 1(3). 208–221. 36 indexed citations
16.
Lacasa, Lucas, et al.. (2015). Time reversibility from visibility graphs of nonstationary processes. Physical Review E. 92(2). 22817–22817. 50 indexed citations
17.
Lacasa, Lucas & Bartolo Luque. (2012). Phase transition in the countdown problem. Physical Review E. 86(1). 10105–10105. 1 indexed citations
18.
Lacasa, Lucas & Raúl Toral. (2010). Description of stochastic and chaotic series using visibility graphs. Physical Review E. 82(3). 36120–36120. 187 indexed citations
19.
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 →
20.
Bascompte, Jordi, et al.. (2007). A probabilistic model of reserve design. Journal of Theoretical Biology. 247(1). 205–211. 4 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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