Jean Oh

3.1k total citations · 2 hit papers
82 papers, 1.4k citations indexed

About

Jean Oh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jean Oh has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Jean Oh's work include Multimodal Machine Learning Applications (12 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Path Planning Algorithms (8 papers). Jean Oh is often cited by papers focused on Multimodal Machine Learning Applications (12 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Path Planning Algorithms (8 papers). Jean Oh collaborates with scholars based in United States, South Korea and United Kingdom. Jean Oh's co-authors include Anirudh Vemula, Katharina Muelling, Craig A. Knoblock, Chris Dyer, Po-Yao Huang, Frederick Liu, Francesca Baldini, Stephen F. Smith, Pete Trautman and Aaron Steinfeld and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Engineering Applications of Artificial Intelligence and IEEE Robotics and Automation Letters.

In The Last Decade

Jean Oh

77 papers receiving 1.3k citations

Hit Papers

Social Attention: Modeling Attention in Human Crowds 2018 2026 2020 2023 2018 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Social Attention: Modeling Attention in Human Crowds
    2018 440 citations Jean Oh et al. profile →
  2. Core Challenges of Social Robot Navigation: A Survey
    2023 119 citations Jean Oh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Oh United States 17 731 615 438 168 155 82 1.4k
Wilko Schwarting United States 16 501 0.7× 385 0.6× 880 2.0× 198 1.2× 651 4.2× 25 1.6k
Yonglin Tian China 21 555 0.8× 313 0.5× 314 0.7× 56 0.3× 230 1.5× 64 1.5k
Wang De United States 10 522 0.7× 318 0.5× 575 1.3× 147 0.9× 85 0.5× 42 1.2k
Haigen Min China 16 294 0.4× 152 0.2× 592 1.4× 152 0.9× 257 1.7× 39 1.4k
Dorsa Sadigh United States 25 382 0.5× 868 1.4× 473 1.1× 147 0.9× 673 4.3× 85 1.9k
Siyu Teng China 12 406 0.6× 232 0.4× 487 1.1× 39 0.2× 331 2.1× 27 1.2k
Zirui Li China 21 237 0.3× 289 0.5× 481 1.1× 105 0.6× 271 1.7× 104 1.1k
Yuchen Li China 10 342 0.5× 199 0.3× 403 0.9× 33 0.2× 295 1.9× 22 1.0k
Hema Swetha Koppula United States 14 1.3k 1.7× 665 1.1× 139 0.3× 34 0.2× 385 2.5× 21 2.1k
Tsz-Chiu Au United States 14 221 0.3× 595 1.0× 404 0.9× 78 0.5× 657 4.2× 33 1.4k

Countries citing papers authored by Jean Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jean Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Oh. A scholar is included among the top collaborators of Jean Oh 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 Jean Oh. Jean Oh 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.
Francis, Jonathan, et al.. (2025). SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation. IEEE Robotics and Automation Letters. 10(9). 9320–9327.
2.
3.
Ichnowski, Jeffrey, et al.. (2024). POE: Acoustic Soft Robotic Proprioception for Omnidirectional End-effectors. 14980–14987. 3 indexed citations
4.
Lee, Kyunghyun, et al.. (2024). Complementary Random Masking for RGB-Thermal Semantic Segmentation. 11110–11117. 13 indexed citations
5.
Higgins, Ian, et al.. (2024). SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation. IEEE Robotics and Automation Letters. 9(4). 3759–3766. 2 indexed citations
6.
Oh, Jean, et al.. (2023). Collaborative Robotic Painting and Paint Mixing Demonstration. Designing Interactive Systems Conference. 292–296. 1 indexed citations
7.
Sciutti, Alessandra, Michael Beetz, Tetsunari Inamura, et al.. (2023). The Present and the Future of Cognitive Robotics [TC Spotlight]. IEEE Robotics & Automation Magazine. 30(3). 160–163. 1 indexed citations
8.
Francis, Jonathan, et al.. (2022). Core Challenges in Embodied Vision-Language Planning. Journal of Artificial Intelligence Research. 74. 459–515. 18 indexed citations
9.
Boularias, Abdeslam, Felix Duvallet, Jean Oh, & Anthony Stentz. (2016). Learning qualitative spatial relations for robotic navigation. International Joint Conference on Artificial Intelligence. 4130–4134. 6 indexed citations
10.
Huang, Po-Yao, et al.. (2016). Attention-based Multimodal Neural Machine Translation. 639–645. 108 indexed citations
11.
Duvallet, Felix, Jean Oh, Anthony Stentz, et al.. (2015). Inferring Maps and Behaviors from Natural Language Instructions. DSpace@MIT (Massachusetts Institute of Technology). 10 indexed citations
12.
Oltramari, Alessandro, et al.. (2014). Ontology-Based Cognitive System for Contextual Reasoning in Robot Architectures. National Conference on Artificial Intelligence. 1 indexed citations
13.
Oh, Jean, Arne Suppé, Anthony Stentz, & Martial Hebert. (2013). Enhancing robot perception using human teammates. Adaptive Agents and Multi-Agents Systems. 1147–1148. 2 indexed citations
14.
Meneguzzi, Felipe, Jean Oh, Nilanjan Chakraborty, et al.. (2012). A cognitive architecture for emergency response. Adaptive Agents and Multi-Agents Systems. 1161–1162. 3 indexed citations
15.
Meneguzzi, Felipe & Jean Oh. (2010). Proactive assistant agents : papers from the AAAI Fall Symposium. 1 indexed citations
16.
Oh, Jean & Stephen F. Smith. (2008). A few good agents: multi-agent social learning. Adaptive Agents and Multi-Agents Systems. 339–346. 14 indexed citations
17.
Oh, Jean & Stephen F. Smith. (2005). Calendar Assistants that Learn Preferences.. National Conference on Artificial Intelligence. 7–13. 5 indexed citations
18.
Oh, Jean & Stephen F. Smith. (2004). Learning User Preferences in Distributed Calendar Scheduling. 2 indexed citations
19.
Ambite, José Luis, Greg Barish, Craig A. Knoblock, et al.. (2002). Getting from here to there: interactive planning and agent execution for optimizing travel. National Conference on Artificial Intelligence. 862–869. 42 indexed citations
20.
Chalupsky, Hans, Yolanda Gil, Craig A. Knoblock, et al.. (2001). Electric Elves: Applying Agent Technology to Support Human Organizations. Innovative Applications of Artificial Intelligence. 51–58. 81 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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