Lucas Lacasa

143 total papers · 4.5k total citations
73 papers, 2.9k 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 2.9k 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 2.8k citations

Hit Papers

From time series to compl... 2008 2026 2014 2020 2008 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lucas Lacasa 1.2k 1.1k 450 450 389 73 2.9k
Bartolo Luque 873 0.7× 893 0.8× 369 0.8× 329 0.7× 306 0.8× 50 3.0k
Massimiliano Zanin 842 0.7× 1.6k 1.4× 606 1.3× 257 0.6× 445 1.1× 150 3.9k
José M. Amigó 704 0.6× 975 0.9× 414 0.9× 241 0.5× 486 1.2× 156 3.1k
Jianbo Gao 1.4k 1.2× 1.7k 1.5× 885 2.0× 485 1.1× 397 1.0× 127 4.3k
Luciano Zunino 2.1k 1.7× 1.6k 1.5× 492 1.1× 406 0.9× 445 1.1× 86 3.6k
Kevin Judd 568 0.5× 860 0.8× 216 0.5× 273 0.6× 506 1.3× 86 2.1k
Huijie Yang 679 0.6× 947 0.8× 290 0.6× 183 0.4× 271 0.7× 156 1.9k
Daniel T. Kaplan 920 0.8× 974 0.9× 936 2.1× 262 0.6× 302 0.8× 75 3.7k
Yong Zou 1.6k 1.3× 1.8k 1.6× 731 1.6× 494 1.1× 341 0.9× 160 4.9k
Mark Priestley 892 0.7× 276 0.2× 144 0.3× 518 1.2× 659 1.7× 79 4.9k

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

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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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