Kris Hauser

5.1k total citations · 1 hit paper
130 papers, 3.1k citations indexed

About

Kris Hauser is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Kris Hauser has authored 130 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Control and Systems Engineering, 61 papers in Computer Vision and Pattern Recognition and 40 papers in Biomedical Engineering. Recurrent topics in Kris Hauser's work include Robotic Path Planning Algorithms (45 papers), Robot Manipulation and Learning (43 papers) and Robotic Mechanisms and Dynamics (24 papers). Kris Hauser is often cited by papers focused on Robotic Path Planning Algorithms (45 papers), Robot Manipulation and Learning (43 papers) and Robotic Mechanisms and Dynamics (24 papers). Kris Hauser collaborates with scholars based in United States, Japan and Germany. Kris Hauser's co-authors include Casey C. Bennett, Jean‐Claude Latombe, Victor Ng‐Thow‐Hing, Timothy Bretl, James F. O’Brien, Gao Tang, Jingru Luo, Ken Goldberg, Nuttapong Chentanez and Chen Shen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, ACM Transactions on Graphics and The International Journal of Robotics Research.

In The Last Decade

Kris Hauser

126 papers receiving 3.0k 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.

Analysis and Observations From the First Amazon Picking Challenge

2016 288 citations Kris Hauser et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kris Hauser United States	30	1.5k	1.4k	985	524	430	130	3.1k
Jia Pan Hong Kong	36	1.8k 1.2×	2.9k 2.1×	1.3k 1.3×	1.2k 2.4×	1.0k 2.4×	239	5.8k
Ron Alterovitz United States	38	1.5k 1.0×	1.5k 1.1×	2.6k 2.6×	770 1.5×	288 0.7×	105	3.9k
Sachin Patil United States	22	1.3k 0.9×	1.4k 1.0×	539 0.5×	708 1.4×	519 1.2×	42	2.7k
P.K. Khosla United States	33	1.7k 1.1×	646 0.5×	1.2k 1.2×	424 0.8×	268 0.6×	107	3.5k
Ville Kyrki Finland	27	1.1k 0.8×	1.0k 0.7×	608 0.6×	339 0.6×	502 1.2×	168	2.7k
Animesh Garg United States	25	728 0.5×	883 0.6×	702 0.7×	143 0.3×	752 1.7×	70	2.2k
P.K. Khosla United States	30	1.1k 0.7×	2.3k 1.6×	346 0.4×	994 1.9×	804 1.9×	100	4.3k
Frank C. Park South Korea	29	1.7k 1.1×	742 0.5×	962 1.0×	359 0.7×	271 0.6×	96	3.3k
B. Benhabib Canada	31	1.4k 0.9×	1.2k 0.9×	571 0.6×	752 1.4×	224 0.5×	236	3.6k
Josh Tobin United States	7	1.0k 0.7×	801 0.6×	513 0.5×	277 0.5×	1.1k 2.5×	7	2.4k

Countries citing papers authored by Kris Hauser

Since Specialization

Citations

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

Fields of papers citing papers by Kris Hauser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kris Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of Kris Hauser. A scholar is included among the top collaborators of Kris Hauser 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 Kris Hauser. Kris Hauser 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:

20 of 20 papers shown

1.

Jha, Devesh K., et al.. (2025). Simultaneous Trajectory Optimization and Contact Selection for Contact-Rich Manipulation With High-Fidelity Geometry. IEEE Transactions on Robotics. 41. 2677–2690. 1 indexed citations

2.

Morales, Marco A., et al.. (2024). Experience-based multi-agent path finding with narrow corridors.

3.

Zhu, Yifan, et al.. (2023). Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift. 4 indexed citations

4.

Zhang, Mengchao, Devesh K. Jha, Arvind U. Raghunathan, & Kris Hauser. (2023). Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. 6 indexed citations

5.

Hauser, Kris, et al.. (2023). Automatically-Tuned Model Predictive Control for an Underwater Soft Robot. IEEE Robotics and Automation Letters. 9(1). 571–578. 6 indexed citations

6.

Hauser, Kris, et al.. (2022). Real-time Semantic 3D Reconstruction for High- Touch Surface Recognition for Robotic Disinfection. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9919–9925. 4 indexed citations

7.

Pan, Zherong, Andy Zeng, Yunzhu Li, Jingjin Yu, & Kris Hauser. (2022). Algorithms and Systems for Manipulating Multiple Objects. IEEE Transactions on Robotics. 39(1). 2–20. 18 indexed citations

8.

Ding, Yanran, et al.. (2021). Hybrid Sampling/Optimization-based Planning for Agile Jumping Robots on Challenging Terrains. 2839–2845. 5 indexed citations

9.

Hauser, Kris. (2021). Semi-infinite programming for trajectory optimization with non-convex obstacles. The International Journal of Robotics Research. 40(10-11). 1106–1122. 14 indexed citations

10.

Tang, Gao & Kris Hauser. (2019). A data-driven indirect method for nonlinear optimal control. Astrodynamics. 3(4). 345–359. 12 indexed citations

11.

Xie, Zhaoming, C. Karen Liu, & Kris Hauser. (2017). Differential dynamic programming with nonlinear constraints. 695–702. 61 indexed citations

12.

Zhou, Yilun & Kris Hauser. (2017). Incorporating side-channel information into convolutional neural networks for robotic tasks. 2177–2183. 7 indexed citations

13.

Terry, Nicolas, et al.. (2016). Regulating Healthcare Robots: Maximizing Opportunities While Minimizing Risks. IUScholarWorks (Indiana University). 22(2). 3. 8 indexed citations

14.

Hauser, Kris, et al.. (2014). Identifying support surfaces of climbable structures from 3D point clouds. 32. 6226–6231. 5 indexed citations

15.

Yang, Shuo, Tushar Khot, Kristian Kersting, et al.. (2014). Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. 1085–1090. 13 indexed citations

16.

Hauser, Kris, et al.. (2012). Optimal acceleration-bounded trajectory planning in dynamic environments along a specified path. 2035–2041. 29 indexed citations

17.

Rusu, Radu Bogdan, Aravind Sundaresan, Benoit Morisset, et al.. (2009). Leaving Flatland: Efficient Real-Time 3D Navigation. 2 indexed citations

18.

Morisset, Benoit, Radu Bogdan Rusu, Aravind Sundaresan, et al.. (2009). Leaving Flatland: Toward real-time 3D navigation. 3786–3793. 23 indexed citations

19.

Hauser, Kris, Timothy Bretl, Jean‐Claude Latombe, Kensuke Harada, & Brian Wilcox. (2008). Motion Planning for Legged Robots on Varied Terrain. The International Journal of Robotics Research. 27(11-12). 1325–1349. 138 indexed citations

20.

Latombe, Jean‐Claude & Kris Hauser. (2008). Motion planning for legged and humanoid robots. 21 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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