Stefano V. Albrecht

35 papers receiving 1.1k citations

Hit Papers

Twenty-Ninth AAAI Conference on Artificial Intelligence20152026201820222015100200300

Peers

Stefano V. Albrecht
Comparison fields: 5 of 124
  • Artificial Intelligence 691
  • Computer Vision and Pattern Recognition 214
  • Management Science and Operations Research 141
  • Information Systems 120
  • Computer Networks and Communications 112
Replace Ram Ramamoorthy with:
Ram Ramamoorthy United Kingdom
Shixiang Gu United States
Prasad Tadepalli United States
Lukáš Chrpa Czechia
Santiago Ontañón United States
Diego Pérez-Liébana United Kingdom
Minrui Xu China
Liang Gou United States
Itsuki Noda Japan
Lilian Weng United States
Stefano V. Albrecht relative to Ram Ramamoorthy United Kingdom Ram Ramamoorthy's profile →
Citations per field
00.5×3.7×
Ram Ramamoorthy · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 4
4 27
5 6
6
Decoupling Exploration and Exploitation in Reinforcement Learning
4
7 19
8
Comparative Evaluation of Cooperative Multi-Agent Deep Reinforcement Learning Algorithms
5
9
Stabilizing Generative Adversarial Network Training: A Survey
8
10 211
11 15
12
Twenty-Ninth AAAI Conference on Artificial Intelligencebreakdown →
379
13
Are you doing what i think you are doing? criticising uncertain agent models
4
14
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence
151
15 1
16
AAMAS '13 Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
11
17 39
18
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012)
106
19 17
20 37

About Stefano V. Albrecht

Stefano V. Albrecht is a scholar working on Artificial Intelligence, Health Informatics and Automotive Engineering, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (19 papers), Multi-Agent Systems and Negotiation (8 papers) and Autonomous Vehicle Technology and Safety (8 papers). The work is most often cited by research in Artificial Intelligence (691 citations), Management Science and Operations Research (141 citations) and Computer Vision and Pattern Recognition (214 citations). Stefano V. Albrecht has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ram Ramamoorthy, Jacob W. Crandall, Peter Stone, Subramanian Ramamoorthy, Cheng Wang, Florian Metze, M. Kloppenburg, Paul Tavan, Steven Peters and Filippos Christianos. Their work appears in journals such as Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.

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.

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