Aaron Walsman

2.1k total citations · 2 hit papers
8 papers, 1.1k citations indexed

About

Aaron Walsman is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Aaron Walsman has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Aaron Walsman's work include Human Motion and Animation (3 papers), Robot Manipulation and Learning (3 papers) and Manufacturing Process and Optimization (2 papers). Aaron Walsman is often cited by papers focused on Human Motion and Animation (3 papers), Robot Manipulation and Learning (3 papers) and Manufacturing Process and Optimization (2 papers). Aaron Walsman collaborates with scholars based in United States. Aaron Walsman's co-authors include Siddhartha S Srinivasa, Berk Çallı, Arjun Singh, Aaron M. Dollar, Pieter Abbeel, Kurt Konolige, James Bruce, Dieter Fox, Qiuyu Chen and Abhishek Gupta and has published in prestigious journals such as The International Journal of Robotics Research and IEEE Robotics & Automation Magazine.

In The Last Decade

Aaron Walsman

8 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

The YCB object and Model set: Towards common benchmarks for manipulation research

2015 485 citations Berk Çallı, Arjun Singh et al. profile →
Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set

2015 404 citations Berk Çallı, Aaron Walsman et al. IEEE Robotics & Automation Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron Walsman United States	5	799	450	439	224	188	8	1.1k
Clemens Eppner Germany	16	715 0.9×	397 0.9×	330 0.8×	161 0.7×	181 1.0×	25	974
Arjun Singh United States	8	957 1.2×	504 1.1×	698 1.6×	404 1.8×	232 1.2×	14	1.6k
Steffen Knoop Germany	12	836 1.0×	366 0.8×	443 1.0×	145 0.6×	223 1.2×	27	1.1k
Berk Çallı United States	17	1.2k 1.5×	737 1.6×	558 1.3×	286 1.3×	228 1.2×	41	1.7k
Nikolaus Vahrenkamp Germany	22	1.3k 1.6×	792 1.8×	785 1.8×	255 1.1×	208 1.1×	48	1.8k
Kimitoshi Yamazaki Japan	16	583 0.7×	277 0.6×	357 0.8×	190 0.8×	110 0.6×	128	904
Renaud Detry Belgium	18	616 0.8×	319 0.7×	248 0.6×	161 0.7×	261 1.4×	55	874
Kaiyu Hang United States	18	638 0.8×	397 0.9×	260 0.6×	125 0.6×	133 0.7×	45	840
Rosen Diankov United States	10	873 1.1×	376 0.8×	611 1.4×	243 1.1×	229 1.2×	13	1.2k
Pablo Jiménez Spain	9	552 0.7×	238 0.5×	335 0.8×	117 0.5×	138 0.7×	12	967

Countries citing papers authored by Aaron Walsman

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Walsman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Walsman

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Chen, Qiuyu, Aaron Walsman, Kaichun Mo, et al.. (2024). URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. 4 indexed citations

2.

Walsman, Aaron, et al.. (2023). ENTL: Embodied Navigation Trajectory Learner. 10829–10838. 2 indexed citations

3.

Kusupati, Aditya, et al.. (2021). In the Wild: From ML Models to Pragmatic ML Systems. 2 indexed citations

4.

Walsman, Aaron, et al.. (2019). Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks. 4882–4888. 1 indexed citations

5.

Çallı, Berk, Arjun Singh, James Bruce, et al.. (2017). Yale-CMU-Berkeley dataset for robotic manipulation research. The International Journal of Robotics Research. 36(3). 261–268. 236 indexed citations

6.

Çallı, Berk, Arjun Singh, Aaron Walsman, et al.. (2015). The YCB object and Model set: Towards common benchmarks for manipulation research. 510–517. 485 indexed citations breakdown →

7.

Çallı, Berk, Aaron Walsman, Arjun Singh, et al.. (2015). Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set. IEEE Robotics & Automation Magazine. 22(3). 36–52. 404 indexed citations breakdown →

8.

Zeglin, Garth, et al.. (2014). HERB's Sure Thing: A rapid drama system for rehearsing and performing live robot theater. 129–136. 14 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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