Stefano V. Albrecht

2.6k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Stefano V. Albrecht is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefano V. Albrecht has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Automotive Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefano V. Albrecht's work include Reinforcement Learning in Robotics (19 papers), Multi-Agent Systems and Negotiation (8 papers) and Autonomous Vehicle Technology and Safety (8 papers). Stefano V. Albrecht is often cited by papers focused on Reinforcement Learning in Robotics (19 papers), Multi-Agent Systems and Negotiation (8 papers) and Autonomous Vehicle Technology and Safety (8 papers). Stefano V. Albrecht collaborates with scholars based in United Kingdom, United States and Germany. Stefano V. Albrecht's co-authors include Ram Ramamoorthy, Jacob W. Crandall, Peter Stone, Subramanian Ramamoorthy, Cheng Wang, Florian Metze, Paul Tavan, M. Kloppenburg, Steven Peters and Filippos Christianos and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

In The Last Decade

Stefano V. Albrecht

35 papers receiving 1.1k citations

Hit Papers

Twenty-Ninth AAAI Conference on Artificial Intelligence 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano V. Albrecht United Kingdom 13 691 214 141 120 112 37 1.2k
Jacek Mańdziuk Poland 18 549 0.8× 178 0.8× 99 0.7× 53 0.4× 81 0.7× 103 1.1k
Carlos Cotta Spain 17 978 1.4× 170 0.8× 124 0.9× 74 0.6× 211 1.9× 112 1.8k
Lukáš Chrpa Czechia 12 744 1.1× 276 1.3× 53 0.4× 123 1.0× 118 1.1× 78 1.1k
Ram Ramamoorthy United Kingdom 9 421 0.6× 146 0.7× 97 0.7× 122 1.0× 65 0.6× 15 824
Pedro Isasi Spain 19 653 0.9× 274 1.3× 189 1.3× 100 0.8× 127 1.1× 118 1.2k
Ming Zhou China 23 1.5k 2.1× 436 2.0× 136 1.0× 195 1.6× 88 0.8× 118 2.0k
Ye Chen China 19 392 0.6× 234 1.1× 151 1.1× 242 2.0× 192 1.7× 78 1.1k
Daniel Whitehouse United Kingdom 10 1.3k 1.8× 374 1.7× 130 0.9× 84 0.7× 164 1.5× 15 1.9k
Zhenhua Huang China 19 485 0.7× 276 1.3× 50 0.4× 300 2.5× 171 1.5× 59 1.1k
Philipp Rohlfshagen United Kingdom 13 1.3k 1.9× 386 1.8× 134 1.0× 96 0.8× 194 1.7× 24 2.1k

Countries citing papers authored by Stefano V. Albrecht

Since Specialization
Citations

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

Fields of papers citing papers by Stefano V. Albrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano V. Albrecht. 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 Stefano V. Albrecht. The network helps show where Stefano V. Albrecht may publish in the future.

Co-authorship network of co-authors of Stefano V. Albrecht

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

All Works

20 of 20 papers shown
1.
Wang, Cheng, et al.. (2025). HAD-Gen: Human-like and diverse driving behavior modeling for controllable scenario generation. Accident Analysis & Prevention. 223. 108270–108270.
2.
Albrecht, Stefano V., et al.. (2024). Using offline data to speed up Reinforcement Learning in procedurally generated environments. Neurocomputing. 618. 129079–129079. 1 indexed citations
3.
4.
Albrecht, Stefano V., et al.. (2023). DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving. IEEE Robotics and Automation Letters. 8(8). 4887–4894. 6 indexed citations
5.
Albrecht, Stefano V., et al.. (2022). Perspectives on the system-level design of a safe autonomous driving stack. AI Communications. 35(4). 285–294. 3 indexed citations
6.
Christianos, Filippos, et al.. (2021). Decoupling Exploration and Exploitation in Reinforcement Learning. arXiv (Cornell University). 4 indexed citations
7.
Albrecht, Stefano V., et al.. (2021). PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1442–1449. 14 indexed citations
8.
Christianos, Filippos, et al.. (2020). Comparative Evaluation of Cooperative Multi-Agent Deep Reinforcement Learning Algorithms. arXiv (Cornell University). 5 indexed citations
9.
Albrecht, Stefano V., et al.. (2019). Stabilizing Generative Adversarial Network Training: A Survey. arXiv (Cornell University). 8 indexed citations
10.
Albrecht, Stefano V., Jacob W. Crandall, & Subramanian Ramamoorthy. (2019). E-HBA: Using Action Policies for Expert Advice and Agent Typification. arXiv (Cornell University). 1 indexed citations
11.
Albrecht, Stefano V. & Peter Stone. (2018). Autonomous agents modelling other agents: A comprehensive survey and open problems. Artificial Intelligence. 258. 66–95. 211 indexed citations
12.
Albrecht, Stefano V. & Peter Stone. (2017). Reasoning about Hypothetical Agent Behaviours and their Parameters. Adaptive Agents and Multi-Agents Systems. 547–555. 15 indexed citations
13.
Albrecht, Stefano V., Jacob W. Crandall, & Ram Ramamoorthy. (2015). Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. National Conference on Artificial Intelligence. 151 indexed citations
14.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2015). Are you doing what i think you are doing? criticising uncertain agent models. Edinburgh Research Explorer (University of Edinburgh). 52–61. 4 indexed citations
15.
Albrecht, Stefano V., Jacob W. Crandall, & Ram Ramamoorthy. (2015). Twenty-Ninth AAAI Conference on Artificial Intelligence. National Conference on Artificial Intelligence. 379 indexed citations breakdown →
16.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2013). A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems. arXiv (Cornell University). 1155–1156. 39 indexed citations
17.
Albrecht, Stefano V. & Ram Ramamoorthy. (2013). AAMAS '13 Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems. Adaptive Agents and Multi-Agents Systems. 11 indexed citations
18.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2013). Ad hoc coordination in multiagent systems with applications to human-machine interaction. Adaptive Agents and Multi-Agents Systems. 1415–1416. 1 indexed citations
19.
Albrecht, Stefano V. & Ram Ramamoorthy. (2012). Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012). Adaptive Agents and Multi-Agents Systems. 106 indexed citations
20.
Albrecht, Stefano V. & Subramanian Ramamoorthy. (2012). Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems. Adaptive Agents and Multi-Agents Systems. 349–356. 17 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

Rankless by CCL
2026