Kris Hauser

143 papers receiving 3.6k citations

Kris Hauser's Hit Papers

Analysis and Observations From the First Amazon Picking Challenge 2016 · 315 citations
3150+3+6Years since publication100200300

Peers

Kris Hauser
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 1.7k
  • Control and Systems Engineering 1.8k
  • Health Informatics 66
  • Computer Graphics and Computer-Aided Design 164
  • Biomedical Engineering 1.2k
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Kris Hauser relative to Ken Goldberg United States Ken Goldberg's profile →
Citations per field
00.5×3.9×
Ken Goldberg · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kris Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kris Hauser Line = papers co-authored together Kris Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analysis and Observations From the First Amazon Picking Challenge
Hit paper breakdown →
2016315
2 2012265
3 2008162
4 2009136
5 2015114
6 2003105
7 200999
8 201098
9 200697
10 200894
11 201090
12 201380
13 201373
14 201773
15 201765
16 201463
17 200958
18 201654
19 202051
20 200851

About Kris Hauser

Kris Hauser is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering and Mechanical Engineering, having authored 149 papers that have together received 3.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (54 papers), Robot Manipulation and Learning (46 papers), Robotic Locomotion and Control (26 papers), Robotic Mechanisms and Dynamics (26 papers), Robotics and Sensor-Based Localization (21 papers), Soft Robotics and Applications (16 papers), Teleoperation and Haptic Systems (13 papers) and Human Motion and Animation (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Control and Systems Engineering (1.8k citations), Health Informatics (66 citations), Computer Graphics and Computer-Aided Design (164 citations) and Biomedical Engineering (1.2k citations). Kris Hauser has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Casey C. Bennett, Jean‐Claude Latombe, Timothy Bretl, Victor Ng‐Thow‐Hing, Kensuke Harada, Gao Tang, James F. O’Brien, Jingru Luo, Ken Goldberg and Brian Wilcox. Their work appears in journals such as IEEE Transactions on Robotics, Springer tracts in advanced robotics, The International Journal of Robotics Research, IEEE Robotics and Automation Letters and IEEE Transactions on Automation Science and Engineering.

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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