Mark Moll
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robotic Path Planning Algorithms 38
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- Robot Manipulation and Learning 24
- Robotic Mechanisms and Dynamics 7
- Co-authors
- Lydia E. Kavraki (60 shared papers)Ioan Alexandru Sucan (5 shared papers)Wei‐Min Shen (5 shared papers)Behnam Salemi (4 shared papers)Daniela L. Rus (2 shared papers)Eric Klavins (2 shared papers)Hod Lipson (2 shared papers)Mark H. Yim (2 shared papers)
- Journals
- IEEE Robotics & Automation Magazine (4 papers)The International Journal of Robotics Research (4 papers)BMC Bioinformatics (3 papers)Springer tracts in advanced robotics (2 papers)IEEE Robotics and Automation Letters (2 papers)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Mark Moll
81 papers receiving 4.4k citations
Mark Moll's Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 1.9k
- Control and Systems Engineering 1.6k
- Condensed Matter Physics 583
- Mechanical Engineering 1.5k
- Aerospace Engineering 874
Countries citing papers authored by Mark Moll
This map shows the geographic impact of Mark Moll'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 Mark Moll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Moll more than expected).
Fields of papers citing papers by Mark Moll
This network shows the impact of papers produced by Mark Moll. 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 Mark Moll. The network helps show where Mark Moll may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Moll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Open Motion Planning Library Hit paper breakdown → | 2012 | 1224 |
| 2 | Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] Hit paper breakdown → | 2007 | 856 |
| 3 | 2006 | 269 | |
| 4 | 2006 | 252 | |
| 5 | 2007 | 178 | |
| 6 | 2006 | 164 | |
| 7 | 2018 | 143 | |
| 8 | 2017 | 103 | |
| 9 | 2015 | 100 | |
| 10 | 2019 | 90 | |
| 11 | 2017 | 65 | |
| 12 | 2015 | 55 | |
| 13 | 2013 | 55 | |
| 14 | 1997 | 52 | |
| 15 | 2018 | 50 | |
| 16 | 2014 | 47 | |
| 17 | 2004 | 41 | |
| 18 | 2018 | 40 | |
| 19 | 2016 | 39 | |
| 20 | 2002 | 37 |
About Mark Moll
Mark Moll is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Molecular Biology, having authored 84 papers that have together received 4.6k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (38 papers), Robot Manipulation and Learning (24 papers), Protein Structure and Dynamics (15 papers), Modular Robots and Swarm Intelligence (12 papers), Robotics and Sensor-Based Localization (11 papers), AI-based Problem Solving and Planning (7 papers), Enzyme Structure and Function (7 papers) and Robotic Mechanisms and Dynamics (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Control and Systems Engineering (1.6k citations), Condensed Matter Physics (583 citations), Mechanical Engineering (1.5k citations) and Aerospace Engineering (874 citations). Mark Moll has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Lydia E. Kavraki, Ioan Alexandru Sucan, Wei‐Min Shen, Behnam Salemi, Daniela L. Rus, Eric Klavins, Hod Lipson, Mark H. Yim, Gregory S. Chirikjian and Zachary K. Kingston. Their work appears in journals such as IEEE Robotics & Automation Magazine, The International Journal of Robotics Research, BMC Bioinformatics, Springer tracts in advanced robotics 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.