Lucas Lacasa

79 papers and 3.7k indexed citations i.

About

Lucas Lacasa is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Cognitive Neuroscience. According to data from OpenAlex, Lucas Lacasa has authored 79 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistical and Nonlinear Physics, 30 papers in Economics and Econometrics and 14 papers in Cognitive Neuroscience. Recurrent topics in Lucas Lacasa’s work include Complex Network Analysis Techniques (29 papers), Complex Systems and Time Series Analysis (24 papers) and Opinion Dynamics and Social Influence (14 papers). Lucas Lacasa is often cited by papers focused on Complex Network Analysis Techniques (29 papers), Complex Systems and Time Series Analysis (24 papers) and Opinion Dynamics and Social Influence (14 papers). Lucas Lacasa collaborates with scholars based in Spain, United Kingdom and Mexico. Lucas Lacasa's co-authors include Bartolo Luque, Jordi Luque, Fernando Ballesteros, Juan Carlos Nuño, Raúl Toral, Vito Latora, Jacopo Iacovacci, Vincenzo Nicosia, A. Robledo and Jesús Gómez‐Gardeñes 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

Co-authorship network of co-authors of Lucas Lacasa i

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.

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).

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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