Lucas Lacasa
- Economics and Econometrics top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 5%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Co-authors
- Bartolo LuqueFernando BallesterosJordi LuqueJuan Carlos NuñoRaúl ToralJacopo IacovacciA. RobledoJesús Gómez‐Gardeñes
- Topics
- Complex Network Analysis Techniques (25 papers)Complex Systems and Time Series Analysis (20 papers)Opinion Dynamics and Social Influence (15 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- SpainUnited KingdomMexico
In The Last Decade
Lucas Lacasa
70 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Economics and Econometrics 1.2k
- Statistical and Nonlinear Physics 1.1k
- Cognitive Neuroscience 460
- Signal Processing 458
- Artificial Intelligence 400
Countries citing papers authored by Lucas Lacasa
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 21 | |
| 14 | 44 | |
| 15 | 36 | |
| 16 | 15 | |
| 17 | 35 | |
| 18 | 69 | |
| 19 | 14 | |
| 20 | 4 |
About Lucas Lacasa
Lucas Lacasa is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Developmental Biology, having authored 73 papers that have together received 3.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (25 papers), Complex Systems and Time Series Analysis (20 papers) and Opinion Dynamics and Social Influence (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Economics and Econometrics (1.2k citations) and Signal Processing (458 citations). Lucas Lacasa has collaborated with scholars based in Spain, United Kingdom and Mexico. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.