Eric Undersander

449 total citations
5 papers, 118 citations indexed

About

Eric Undersander is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Eric Undersander has authored 5 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Eric Undersander's work include Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Eric Undersander is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Eric Undersander collaborates with scholars based in United States and Canada. Eric Undersander's co-authors include Dhruv Batra, Abhishek Das, Akshara Rai, Alexander Clegg, Naoki Yokoyama, Tsung-Yen Yang, Sehoon Ha, Manolis Savva, Hanxiao Jiang and Anne Lynn S. Chang and has published in prestigious journals such as IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Eric Undersander

5 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Undersander United States	4	72	47	42	19	8	5	118
Suneel Belkhale United States	4	38 0.5×	48 1.0×	39 0.9×	10 0.5×	7 0.9×	4	113
Samir Yitzhak Gadre United States	5	116 1.6×	48 1.0×	60 1.4×	34 1.8×	23 2.9×	6	173
Thanard Kurutach United States	3	41 0.6×	50 1.1×	50 1.2×	9 0.5×	9 1.1×	4	93
Yann Labbé France	5	83 1.2×	24 0.5×	68 1.6×	42 2.2×	11 1.4×	6	123
Ayzaan Wahid United States	4	43 0.6×	40 0.9×	31 0.7×	9 0.5×	6 0.8×	5	83
Cheng-Chun Hsu Taiwan	5	121 1.7×	23 0.5×	27 0.6×	11 0.6×	5 0.6×	7	191
Quan Vuong United States	7	49 0.7×	52 1.1×	47 1.1×	3 0.2×	7 0.9×	15	124
Arunkumar Byravan United States	5	71 1.0×	38 0.8×	45 1.1×	28 1.5×	5 0.6×	6	105
Sean Kirmani United States	3	37 0.5×	32 0.7×	24 0.6×	8 0.4×	6 0.8×	7	90
Nur Muhammad Mahi Shafiullah United States	3	46 0.6×	34 0.7×	22 0.5×	15 0.8×	6 0.8×	6	84

Countries citing papers authored by Eric Undersander

Since Specialization

Citations

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

Fields of papers citing papers by Eric Undersander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Undersander

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Undersander. A scholar is included among the top collaborators of Eric Undersander 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 Eric Undersander. Eric Undersander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Jiang, Hanxiao, Dhruv Batra, Alexander Clegg, et al.. (2024). Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation. 16384–16393. 13 indexed citations

2.

Yokoyama, Naoki, Alexander Clegg, Eric Undersander, et al.. (2023). ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation. IEEE Robotics and Automation Letters. 9(1). 779–786. 17 indexed citations

3.

Berges, Vincent-Pierre, Devendra Singh Chaplot, Aaron Gokaslan, et al.. (2023). Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. 13767–13777. 1 indexed citations

4.

Undersander, Eric, et al.. (2022). Efficient and Interpretable Robot Manipulation With Graph Neural Networks. IEEE Robotics and Automation Letters. 7(2). 2740–2747. 34 indexed citations

5.

Undersander, Eric, et al.. (2022). Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5163–5173. 53 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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