Pablo Hernández-Leal
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Matthew E. TaylorBilal KartalMichael KaisersLuis Enrique SucarJoão SoaresFernando LezamaTiago PintoZita Vale
- Topics
- Reinforcement Learning in Robotics (17 papers)Bayesian Modeling and Causal Inference (6 papers)Smart Grid Energy Management (6 papers)
- Cited by
- Artificial IntelligenceControl and Systems EngineeringManagement Science and Operations Research
- Partner nations
- MexicoNetherlandsUnited States
In The Last Decade
Pablo Hernández-Leal
32 papers receiving 896 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 405
- Electrical and Electronic Engineering 309
- Control and Systems Engineering 230
- Computer Networks and Communications 130
- Management Science and Operations Research 82
Countries citing papers authored by Pablo Hernández-Leal
This map shows the geographic impact of Pablo Hernández-Leal'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 Pablo Hernández-Leal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Hernández-Leal more than expected).
Fields of papers citing papers by Pablo Hernández-Leal
This network shows the impact of papers produced by Pablo Hernández-Leal. 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 Pablo Hernández-Leal. The network helps show where Pablo Hernández-Leal may publish in the future.
Co-authorship network of co-authors of Pablo Hernández-Leal
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Hernández-Leal. A scholar is included among the top collaborators of Pablo Hernández-Leal 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 Pablo Hernández-Leal. Pablo Hernández-Leal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 31 | |
| 3 | 13 | |
| 4 | A survey and critique of multiagent deep reinforcement learningbreakdown → | 339 |
| 5 | 247 | |
| 6 | Is multiagent deep reinforcement learning the answer or the question? A brief survey | 30 |
| 7 | 3 | |
| 8 | Learning on a Budget Using Distributional RL | 1 |
| 9 | Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach | 14 |
| 10 | 47 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | On the Estimation of Missing Data in Incomplete Databases: Autoregressive Bayesian Networks | 4 |
| 16 | 5 | |
| 17 | 6 | |
| 18 | Contrasting temporal Bayesian network models for analyzing HIV mutations | 1 |
| 19 | 2 | |
| 20 | Learning Temporal Nodes Bayesian Networks | 6 |
About Pablo Hernández-Leal
Pablo Hernández-Leal is a scholar working on Artificial Intelligence, Management Science and Operations Research and Applied Psychology, having authored 34 papers that have together received 946 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (17 papers), Bayesian Modeling and Causal Inference (6 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Artificial Intelligence (405 citations), Control and Systems Engineering (230 citations) and Management Science and Operations Research (82 citations). Pablo Hernández-Leal has collaborated with scholars based in Mexico, Netherlands and United States. Frequent co-authors include Matthew E. Taylor, Bilal Kartal, Michael Kaisers, Luis Enrique Sucar, João Soares, Fernando Lezama, Tiago Pinto, Zita Vale, Eduardo F. Morales and Enrique Muñoz de Cote. Their work appears in journals such as IEEE Transactions on Power Systems, Pattern Recognition and Pattern Recognition Letters.
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.