Jeannette Bohg

6.4k total citations · 3 hit papers
83 papers, 2.1k citations indexed

About

Jeannette Bohg is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jeannette Bohg has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Control and Systems Engineering, 44 papers in Computer Vision and Pattern Recognition and 25 papers in Artificial Intelligence. Recurrent topics in Jeannette Bohg's work include Robot Manipulation and Learning (53 papers), Robotics and Sensor-Based Localization (20 papers) and Reinforcement Learning in Robotics (16 papers). Jeannette Bohg is often cited by papers focused on Robot Manipulation and Learning (53 papers), Robotics and Sensor-Based Localization (20 papers) and Reinforcement Learning in Robotics (16 papers). Jeannette Bohg collaborates with scholars based in United States, Germany and Sweden. Jeannette Bohg's co-authors include Stefan Schaal, Danica Kragić, Daniel Kappler, Mengyuan Yan, Toki Migimatsu, Xingyu Liu, Rika Antonova, Yilin Zhu, Lin Shao and Ning Jin and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Jeannette Bohg

80 papers receiving 2.0k citations

Hit Papers

Text2Motion: from natural language instructions to feasib... 2023 2026 2024 2025 2023 2023 2023 25 50 75 100
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. Text2Motion: from natural language instructions to feasible plans
    2023 119 citations Kevin Lin, Christopher Agia et al. profile →
  2. Deep Learning Approaches to Grasp Synthesis: A Review
    2023 114 citations Jeannette Bohg, Antonio Morales et al. profile →
  3. TidyBot: personalized robot assistance with large language models
    2023 98 citations Jimmy Wu, Rika Antonova 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
Jeannette Bohg United States 25 1.2k 843 542 526 334 83 2.1k
Arjun Singh United States 8 957 0.8× 698 0.8× 504 0.9× 232 0.4× 404 1.2× 14 1.6k
Dongheui Lee Germany 27 1.5k 1.3× 1.0k 1.2× 752 1.4× 488 0.9× 386 1.2× 158 2.6k
Berk Çallı United States 17 1.2k 1.0× 558 0.7× 737 1.4× 228 0.4× 286 0.9× 41 1.7k
Danfei Xu United States 18 1.1k 1.0× 1.3k 1.5× 340 0.6× 486 0.9× 785 2.4× 30 2.4k
Roberto Martín-Martín United States 21 992 0.8× 1.0k 1.2× 260 0.5× 296 0.6× 627 1.9× 48 1.8k
Michael Gienger Germany 29 1.5k 1.2× 561 0.7× 1.1k 2.1× 535 1.0× 161 0.5× 101 2.3k
Alberto Rodríguez United States 26 1.8k 1.5× 831 1.0× 1.2k 2.1× 337 0.6× 444 1.3× 71 2.9k
Dmitry Berenson United States 26 2.3k 1.9× 1.6k 1.9× 972 1.8× 570 1.1× 621 1.9× 82 3.4k
Nikolaus Vahrenkamp Germany 22 1.3k 1.1× 785 0.9× 792 1.5× 208 0.4× 255 0.8× 48 1.8k

Countries citing papers authored by Jeannette Bohg

Since Specialization
Citations

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

Fields of papers citing papers by Jeannette Bohg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeannette Bohg

This figure shows the co-authorship network connecting the top 25 collaborators of Jeannette Bohg. A scholar is included among the top collaborators of Jeannette Bohg 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 Jeannette Bohg. Jeannette Bohg 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.
Sundaresan, Priya, et al.. (2025). Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning. 8802–8810. 1 indexed citations
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Deng, Congyue, et al.. (2024). EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. 9249–9255. 12 indexed citations
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Wu, Jimmy, Rika Antonova, Marion Lepert, et al.. (2023). TidyBot: Personalized Robot Assistance with Large Language Models. 3546–3553. 50 indexed citations
7.
Ambruş, Rareş, et al.. (2023). ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking. IEEE Robotics and Automation Letters. 9(5). 4273–4280. 17 indexed citations
8.
Agia, Christopher, Toki Migimatsu, Jiajun Wu, & Jeannette Bohg. (2023). STAP: Sequencing Task-Agnostic Policies. 7951–7958. 7 indexed citations
9.
Migimatsu, Toki & Jeannette Bohg. (2022). Grounding Predicates through Actions. 2022 International Conference on Robotics and Automation (ICRA). 3498–3504. 6 indexed citations
10.
Bohg, Jeannette, et al.. (2022). Whisker-Inspired Tactile Sensing for Contact Localization on Robot Manipulators. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7817–7824. 8 indexed citations
11.
Yang, Jingyun, et al.. (2022). Learning Periodic Tasks from Human Demonstrations. 2022 International Conference on Robotics and Automation (ICRA). 8658–8665. 14 indexed citations
12.
Clarke, Samuel, et al.. (2021). DiffImpact: Differentiable Rendering and Identification of Impact Sounds. 2 indexed citations
13.
Shao, Lin, Toki Migimatsu, & Jeannette Bohg. (2020). Learning to Scaffold the Development of Robotic Manipulation Skills. 14 indexed citations
14.
Yan, Mengyuan, Gen Li, Yilin Zhu, & Jeannette Bohg. (2020). Learning Topological Motion Primitives for Knot Planning. 9457–9464. 9 indexed citations
15.
Losey, Dylan P., Mengxi Li, Jeannette Bohg, & Dorsa Sadigh. (2019). Learning from My Partner’s Actions: Roles in Decentralized Robot Teams. arXiv (Cornell University). 752–765. 4 indexed citations
16.
Liu, Xingyu, Mengyuan Yan, & Jeannette Bohg. (2019). MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. 9245–9254. 142 indexed citations
17.
Bohg, Jeannette, Matei Ciocarlie, Javier Civera, & Lydia E. Kavraki. (2016). Big Data on Robotics. Big Data. 4(4). 195–196. 3 indexed citations
18.
Bohg, Jeannette, Daniel Kappler, & Stefan Schaal. (2016). Exemplar-based prediction of global object shape from local shape similarity. 12. 3398–3405. 1 indexed citations
19.
Bohg, Jeannette, Matthew Johnson‐Roberson, Beatriz León, et al.. (2011). Mind the gap - robotic grasping under incomplete observation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 686–693. 65 indexed citations
20.
Bohg, Jeannette & Danica Kragić. (2009). Grasping familiar objects using shape context. 1–6. 24 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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