Benjamin Rosman

1.5k total citations
72 papers, 785 citations indexed

About

Benjamin Rosman is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Rosman has authored 72 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Rosman's work include Reinforcement Learning in Robotics (28 papers), Robot Manipulation and Learning (11 papers) and Artificial Intelligence in Games (11 papers). Benjamin Rosman is often cited by papers focused on Reinforcement Learning in Robotics (28 papers), Robot Manipulation and Learning (11 papers) and Artificial Intelligence in Games (11 papers). Benjamin Rosman collaborates with scholars based in South Africa, United Kingdom and United States. Benjamin Rosman's co-authors include Subramanian Ramamoorthy, George Konidaris, Luke Nicholas Darlow, Ram Ramamoorthy, Mary Carman, Şahin Albayrak, Pushmeet Kohli, Geethen Singh, Chevonne Reynolds and Marcus J. Byrne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Benjamin Rosman

59 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Rosman South Africa 15 367 156 152 72 62 72 785
Kathryn Merrick Australia 16 408 1.1× 92 0.6× 98 0.6× 24 0.3× 74 1.2× 60 810
Yutaka Nakamura Japan 15 203 0.6× 257 1.6× 122 0.8× 71 1.0× 99 1.6× 100 892
Juan D. Velásquez Colombia 14 430 1.2× 103 0.7× 93 0.6× 28 0.4× 234 3.8× 141 1.0k
Sebastian Risi Denmark 20 1.0k 2.8× 323 2.1× 115 0.8× 71 1.0× 30 0.5× 110 1.5k
Nick Hawes United Kingdom 21 610 1.7× 419 2.7× 234 1.5× 29 0.4× 121 2.0× 103 1.2k
Dave Braines United Kingdom 14 503 1.4× 72 0.5× 51 0.3× 33 0.5× 99 1.6× 75 899
Kamran Shafi Australia 16 370 1.0× 64 0.4× 48 0.3× 50 0.7× 46 0.7× 51 675
Cyril Ray France 15 188 0.5× 137 0.9× 49 0.3× 186 2.6× 108 1.7× 56 985
Vicente Matellán Olivera Spain 16 217 0.6× 217 1.4× 110 0.7× 64 0.9× 104 1.7× 114 805
Ricardo Gudwin Brazil 13 270 0.7× 88 0.6× 87 0.6× 52 0.7× 28 0.5× 82 545

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-authorship network of co-authors of Benjamin Rosman

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Rosman. A scholar is included among the top collaborators of Benjamin Rosman 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 Benjamin Rosman. Benjamin Rosman 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.
Tan, Mingkui, et al.. (2025). Source-Free Elastic Model Adaptation for Vision-and-Language Navigation. IEEE Transactions on Multimedia. 27. 3953–3965.
2.
Rosman, Benjamin, et al.. (2024). The Zeno’s Paradox of ‘Low-Resource’ Languages. 17753–17774. 4 indexed citations
3.
Rosman, Benjamin, et al.. (2023). Hierarchically Composing Level Generators for the Creation of Complex Structures. IEEE Transactions on Games. 16(2). 459–469. 1 indexed citations
4.
Alten, C. J. van, et al.. (2023). Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 19(1). 255–265.
5.
Rosman, Benjamin, et al.. (2019). Composing Value Functions in Reinforcement Learning.. International Conference on Machine Learning. 6401–6409. 12 indexed citations
6.
Ajoodha, Ritesh & Benjamin Rosman. (2018). Learning the influence structure between partially observed stochastic processes using IoT sensor data. National Conference on Artificial Intelligence. 167–173. 5 indexed citations
7.
Rosman, Benjamin, et al.. (2018). Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning. Neural Information Processing Systems. 31. 2291–2299. 1 indexed citations
8.
Saxe, Andrew, et al.. (2018). Hierarchical subtask discovery with non-negative matrix factorization. arXiv (Cornell University). 2 indexed citations
9.
Rosman, Benjamin, et al.. (2018). A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations. Journal of Robotics and Mechatronics. 30(2). 265–281. 5 indexed citations
10.
Saxe, Andrew, et al.. (2017). Hierarchy Through Composition with Multitask LMDPs. Oxford University Research Archive (ORA) (University of Oxford). 3017–3026. 8 indexed citations
11.
James, Steven, George Konidaris, & Benjamin Rosman. (2017). An Analysis of Monte Carlo Tree Search. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 25 indexed citations
12.
Hernández-Leal, Pablo, et al.. (2016). Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. National Conference on Artificial Intelligence. 14 indexed citations
13.
Rosman, Benjamin, et al.. (2016). Trajectory learning from human demonstrations via manifold mapping. 3935–3940. 4 indexed citations
14.
Hernández-Leal, Pablo, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, & Enrique Muñoz de Cote. (2016). A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1315–1316. 3 indexed citations
15.
Rosman, Benjamin, et al.. (2015). Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. 471–477. 32 indexed citations
16.
Mahmud, Maqsood, Benjamin Rosman, Subramanian Ramamoorthy, & Pushmeet Kohli. (2014). Adapting Interaction Environments to Diverse Users through Online Action Set Selection. Edinburgh Research Explorer (University of Edinburgh). 6 indexed citations
17.
Rosman, Benjamin & Subramanian Ramamoorthy. (2012). A Multitask Representation Using Reusable Local Policy Templates.. National Conference on Artificial Intelligence. 5 indexed citations
18.
Rosman, Benjamin & Ram Ramamoorthy. (2012). Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on. 8 indexed citations
19.
Rosman, Benjamin & Ram Ramamoorthy. (2012). AAAI Spring Symposium: Designing Intelligent Robots. National Conference on Artificial Intelligence. 9 indexed citations
20.
Konidaris, George, Byron Boots, Stephen Hart, et al.. (2012). Designing intelligent robots : reintegrating AI : papers from the AAAI Spring Symposium. 4 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.

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