Pablo Samuel Castro

2.1k total citations
25 papers, 672 citations indexed

About

Pablo Samuel Castro is a scholar working on Artificial Intelligence, Management Science and Operations Research and Transportation. According to data from OpenAlex, Pablo Samuel Castro has authored 25 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Transportation. Recurrent topics in Pablo Samuel Castro's work include Reinforcement Learning in Robotics (12 papers), Bayesian Modeling and Causal Inference (5 papers) and Human Mobility and Location-Based Analysis (4 papers). Pablo Samuel Castro is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Bayesian Modeling and Causal Inference (5 papers) and Human Mobility and Location-Based Analysis (4 papers). Pablo Samuel Castro collaborates with scholars based in Canada, United States and France. Pablo Samuel Castro's co-authors include Shijian Li, Daqing Zhang, Chao Chen, Gang Pan, Marc G. Bellemare, Chao Chen, Lin Sun, Zonghui Wang, Subhodeep Moitra and Ziyu Wang and has published in prestigious journals such as Nature, ACM Computing Surveys and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Pablo Samuel Castro

22 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pablo Samuel Castro Canada	10	278	248	138	132	127	25	672
Alain Y. Kibangou France	18	104 0.4×	176 0.7×	211 1.5×	96 0.7×	23 0.2×	73	890
Xin Qin China	13	186 0.7×	105 0.4×	35 0.3×	30 0.2×	21 0.2×	30	575
Haofan Yang China	12	120 0.4×	155 0.6×	225 1.6×	64 0.5×	18 0.1×	25	599
Zhibin Li China	14	150 0.5×	200 0.8×	187 1.4×	40 0.3×	19 0.1×	62	549
Vincent Oria United States	12	419 1.5×	233 0.9×	76 0.6×	1.0k 7.6×	20 0.2×	66	1.4k
Hubert Rehborn Germany	15	53 0.2×	1.2k 4.9×	866 6.3×	61 0.5×	188 1.5×	47	1.8k
Valentin Polishchuk United States	16	69 0.2×	34 0.1×	35 0.3×	51 0.4×	65 0.5×	102	864
Xingyu Zhou China	12	150 0.5×	32 0.1×	34 0.2×	78 0.6×	13 0.1×	70	563

Countries citing papers authored by Pablo Samuel Castro

Since Specialization

Citations

This map shows the geographic impact of Pablo Samuel Castro'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 Samuel Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Samuel Castro more than expected).

Fields of papers citing papers by Pablo Samuel Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Samuel Castro. 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 Samuel Castro. The network helps show where Pablo Samuel Castro may publish in the future.

Co-authorship network of co-authors of Pablo Samuel Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Samuel Castro. A scholar is included among the top collaborators of Pablo Samuel Castro 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 Samuel Castro. Pablo Samuel Castro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Castro, Pablo Samuel, et al.. (2025). Estimating Policy Functions in Payment Systems Using Reinforcement Learning. 13(1). 1–31. 2 indexed citations

Roccapriore, Kevin M., Maxim Ziatdinov, Igor Mordatch, et al.. (2023). Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM. Microscopy and Microanalysis. 29(Supplement_1). 1932–1933.

Castro, Pablo Samuel, et al.. (2022). Estimating Policy Functions in Payments Systems Using Reinforcement Learning. SSRN Electronic Journal. 1 indexed citations

Lan, Charline Le, Marc G. Bellemare, & Pablo Samuel Castro. (2021). Metrics and continuity in reinforcement learning. arXiv (Cornell University). 35(9). 8261–8269. 3 indexed citations

Castro, Pablo Samuel, et al.. (2021). Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research. International Conference on Machine Learning. 1373–1383. 3 indexed citations

Lan, Charline Le, Marc G. Bellemare, & Pablo Samuel Castro. (2021). Metrics and Continuity in Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 8261–8269. 6 indexed citations

Castro, Pablo Samuel, et al.. (2021). Lifting the veil on hyper-parameters for value-baseddeep reinforcement learning. 1 indexed citations

Evci, Utku, Trevor Gale, Jacob Menick, Pablo Samuel Castro, & Erich Elsen. (2020). Rigging the Lottery: Making All Tickets Winners. International Conference on Machine Learning. 1. 2943–2952. 19 indexed citations

Bellemare, Marc G., Salvatore Candido, Pablo Samuel Castro, et al.. (2020). Autonomous navigation of stratospheric balloons using reinforcement learning. Nature. 588(7836). 77–82. 164 indexed citations

10.

Castro, Pablo Samuel, et al.. (2020). Estimating Policy Functions in Payment Systems using Reinforcement Learning. SSRN Electronic Journal. 1 indexed citations

11.

Bellemare, Marc G., Will Dabney, Robert Dadashi, et al.. (2019). A Geometric Perspective on Optimal Representations for Reinforcement Learning. Neural Information Processing Systems. 32. 4358–4369. 8 indexed citations

12.

Bellemare, Marc G., Nicolas Le Roux, Pablo Samuel Castro, & Subhodeep Moitra. (2019). Distributional reinforcement learning with linear function approximation. arXiv (Cornell University). 2203–2211. 2 indexed citations

13.

Chen, Chao, Daqing Zhang, Pablo Samuel Castro, et al.. (2015). Real-time Detection of Anomalous Taxi Trajectories from GPS Traces.

14.

Castro, Pablo Samuel, Daqing Zhang, Chao Chen, Shijian Li, & Gang Pan. (2013). From taxi GPS traces to social and community dynamics. ACM Computing Surveys. 46(2). 1–34. 201 indexed citations

15.

Sun, Lin, Daqing Zhang, Chao Chen, et al.. (2012). Real Time Anomalous Trajectory Detection and Analysis. Mobile Networks and Applications. 18(3). 341–356. 32 indexed citations

16.

Castro, Pablo Samuel & Doina Precup. (2010). Using bisimulation for policy transfer in MDPs. Adaptive Agents and Multi-Agents Systems. 1399–1400. 6 indexed citations

17.

Castro, Pablo Samuel & Doina Precup. (2010). Using bisimulation for policy transfer in MDPs (Extended Abstract). 1 indexed citations

18.

Castro, Pablo Samuel, Prakash Panangaden, & Doina Precup. (2009). Equivalence relations in fully and partially observable Markov decision processes. International Joint Conference on Artificial Intelligence. 1653–1658. 11 indexed citations

19.

Castro, Pablo Samuel & Doina Precup. (2007). Using linear programming for Bayesian exploration in Markov decision processes. International Joint Conference on Artificial Intelligence. 2437–2442. 11 indexed citations

20.

Castro, Pablo Samuel, et al.. (2006). Methods for computing state similarity in Markov decision processes. Uncertainty in Artificial Intelligence. 174–181. 24 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alain Y. Kibangou Breakdown of academic impact, for papers by Xin Qin Breakdown of academic impact, for papers by Haofan Yang Breakdown of academic impact, for papers by Zhibin Li Breakdown of academic impact, for papers by Vincent Oria Breakdown of academic impact, for papers by Hubert Rehborn Breakdown of academic impact, for papers by Valentin Polishchuk Breakdown of academic impact, for papers by Xingyu Zhou