Benjamin Rosman

1.5k citations
72 papers · 785 · h-index 15

Impact in

    • Reinforcement Learning in Robotics
    • Artificial Intelligence in Games
    • AI-based Problem Solving and Planning
    • Evolutionary Algorithms and Applications

Papers in

Benjamin Rosman

59 papers receiving 741 citations

Peers

Benjamin Rosman
Comparison fields: 5 of 117
  • Artificial Intelligence 367
  • Health Informatics 14
  • Computer Vision and Pattern Recognition 156
  • Signal Processing 72
  • Control and Systems Engineering 152
Replace Juan D. Velásquez with:
Juan D. Velásquez Colombia
Sebastian Risi Denmark
Dave Braines United Kingdom
Ronald P. A. Petrick United Kingdom
Giovanni Pilato Italy
Tianlong Ma China
Luwei Xiao China
Matthew Crosby United Kingdom
Noor Akhmad Setiawan Indonesia
Alexander Agung Santoso Gunawan Indonesia
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Rosman

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Rosman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Rosman. 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 Benjamin Rosman. The network helps show where Benjamin Rosman may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin Rosman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Rosman Line = papers co-authored together Benjamin Rosman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201167
2 201856
3 201752
4 202147
5 202046
6
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence
201446
7 201845
8 201642
9 201532
10
Toward integrating Theory of Mind into adaptive decision-making of social robots to understand human intention
201729
11 201725
12 201823
13 202016
14 200616
15 201515
16
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach
201614
17 201514
18 201813
19
Composing Value Functions in Reinforcement Learning.
201912
20 201411

About Benjamin Rosman

Benjamin Rosman is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research and Signal Processing, having authored 72 papers that have together received 785 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (28 papers), Artificial Intelligence in Games (11 papers), Robot Manipulation and Learning (11 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Bandit Algorithms Research (7 papers), Robotics and Sensor-Based Localization (5 papers), Human Pose and Action Recognition (4 papers) and Social Robot Interaction and HRI (4 papers). The work is most often cited by research in Artificial Intelligence (367 citations), Health Informatics (14 citations), Computer Vision and Pattern Recognition (156 citations), Signal Processing (72 citations) and Control and Systems Engineering (152 citations). Benjamin Rosman has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Subramanian Ramamoorthy, George Konidaris, Luke Nicholas Darlow, Ram Ramamoorthy, Şahin Albayrak, Mary Carman, Pushmeet Kohli, Marcus J. Byrne, Geethen Singh and Chevonne Reynolds. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Multimedia, Machine Learning, Artificial Intelligence and Neural Computing and Applications.

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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