Matthew Klingensmith
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Siddhartha S SrinivasaJ. Andrew BagnellChristopher M. DellinMihail PivtoraikoNathan RatliffAnca D. DraganMatt ZuckerJizhong Xiao
- Topics
- Robotic Path Planning Algorithms (5 papers)Robotics and Sensor-Based Localization (4 papers)Advanced Vision and Imaging (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- The International Journal of Robotics ResearchAutonomous RobotsIEEE Robotics and Automation Letters
- Partner nations
- United States
In The Last Decade
Matthew Klingensmith
9 papers receiving 763 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 573
- Control and Systems Engineering 410
- Aerospace Engineering 316
- Artificial Intelligence 145
- Biomedical Engineering 133
Countries citing papers authored by Matthew Klingensmith
This map shows the geographic impact of Matthew Klingensmith'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 Matthew Klingensmith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Klingensmith more than expected).
Fields of papers citing papers by Matthew Klingensmith
This network shows the impact of papers produced by Matthew Klingensmith. 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 Matthew Klingensmith. The network helps show where Matthew Klingensmith may publish in the future.
Co-authorship network of co-authors of Matthew Klingensmith
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Klingensmith. A scholar is included among the top collaborators of Matthew Klingensmith 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 Matthew Klingensmith. Matthew Klingensmith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 16 | |
| 4 | 30 | |
| 5 | 104 | |
| 6 | 41 | |
| 7 | 37 | |
| 8 | CHOMP: Covariant Hamiltonian optimization for motion planningbreakdown → | 470 |
| 9 | 71 |
About Matthew Klingensmith
Matthew Klingensmith is a scholar working on Computer Vision and Pattern Recognition, Geology and Control and Systems Engineering, having authored 9 papers that have together received 791 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (573 citations), Control and Systems Engineering (410 citations) and Aerospace Engineering (316 citations). Matthew Klingensmith has collaborated with scholars based in United States. Frequent co-authors include Siddhartha S Srinivasa, J. Andrew Bagnell, Christopher M. Dellin, Mihail Pivtoraiko, Nathan Ratliff, Anca D. Dragan, Matt Zucker, Jizhong Xiao, Ivan Dryanovski and Nancy S. Pollard. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.
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.