Diego Pérez-Liébana
- Artificial Intelligence top 0.5%
- Sociology and Political Science top 2%
- Computer Vision and Pattern Recognition top 2%
- Economics and Econometrics top 5%
- Developmental and Educational Psychology top 5%
- Co-authors
- Simon M. LucasSpyridon SamothrakisPhilipp RohlfshagenPeter CowlingEdward J. PowleyDaniel WhitehouseCameron BrowneSimon Colton
- Topics
- Artificial Intelligence in Games (76 papers)Digital Games and Media (43 papers)Reinforcement Learning in Robotics (35 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionDevelopmental and Educational Psychology
- Journals
- International Journal of Molecular SciencesIEEE Transactions on Evolutionary ComputationMeasurement
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Diego Pérez-Liébana
91 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 2.0k
- Sociology and Political Science 704
- Computer Vision and Pattern Recognition 559
- Economics and Econometrics 305
- Developmental and Educational Psychology 265
Countries citing papers authored by Diego Pérez-Liébana
This map shows the geographic impact of Diego Pérez-Liébana'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 Diego Pérez-Liébana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Pérez-Liébana more than expected).
Fields of papers citing papers by Diego Pérez-Liébana
This network shows the impact of papers produced by Diego Pérez-Liébana. 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 Diego Pérez-Liébana. The network helps show where Diego Pérez-Liébana may publish in the future.
Co-authorship network of co-authors of Diego Pérez-Liébana
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Pérez-Liébana. A scholar is included among the top collaborators of Diego Pérez-Liébana 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 Diego Pérez-Liébana. Diego Pérez-Liébana 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 3 | |
| 16 | MCTS Pruning in Turn-Based Strategy Games. | 1 |
| 17 | Mechanism of action of drugs with activity against multicellular parasites | 2 |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 9 |
About Diego Pérez-Liébana
Diego Pérez-Liébana is a scholar working on Artificial Intelligence, Sociology and Political Science and Developmental and Educational Psychology, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (76 papers), Digital Games and Media (43 papers) and Reinforcement Learning in Robotics (35 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (559 citations) and Developmental and Educational Psychology (265 citations). Diego Pérez-Liébana has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Simon M. Lucas, Spyridon Samothrakis, Philipp Rohlfshagen, Peter Cowling, Edward J. Powley, Daniel Whitehouse, Cameron Browne, Simon Colton, Julian Togelius and Tom Schaul. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Transactions on Evolutionary Computation and Measurement.
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.