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 35
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- Protein Structure and Dynamics 20
- Co-authors
- Lydia E. Kavraki (60 shared papers)Ioan A. Şucan (5 shared papers)Wei‐Min Shen (6 shared papers)Behnam Salemi (5 shared papers)Hod Lipson (2 shared papers)Mark Yim (2 shared papers)Gregory S. Chirikjian (2 shared papers)Eric Klavins (2 shared papers)
- Journals
- The International Journal of Robotics Research (5 papers)IEEE Robotics & Automation Magazine (4 papers)BMC Bioinformatics (3 papers)Journal of Computational Biology (2 papers)IEEE Transactions on Robotics (2 papers)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Mark Moll
80 papers receiving 3.8k citations
Mark Moll's Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 1.6k
- Control and Systems Engineering 1.4k
- Condensed Matter Physics 509
- Mechanical Engineering 1.3k
- Aerospace Engineering 728
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 | 1014 |
| 2 | Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] Hit paper breakdown → | 2007 | 712 |
| 3 | 2006 | 256 | |
| 4 | 2006 | 207 | |
| 5 | 2007 | 155 | |
| 6 | 2006 | 149 | |
| 7 | 2018 | 118 | |
| 8 | 2017 | 93 | |
| 9 | 2015 | 80 | |
| 10 | 2019 | 72 | |
| 11 | 2010 | 60 | |
| 12 | 2017 | 56 | |
| 13 | 2013 | 48 | |
| 14 | 2018 | 47 | |
| 15 | 1997 | 46 | |
| 16 | 2015 | 43 | |
| 17 | 2018 | 39 | |
| 18 | 2014 | 39 | |
| 19 | 2016 | 37 | |
| 20 | 2004 | 36 |
About Mark Moll
Mark Moll is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering, having authored 84 papers that have together received 3.9k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (35 papers), Robot Manipulation and Learning (22 papers), Protein Structure and Dynamics (20 papers), Modular Robots and Swarm Intelligence (13 papers), Enzyme Structure and Function (11 papers), Robotics and Sensor-Based Localization (10 papers), Computational Drug Discovery Methods (7 papers) and Robotic Mechanisms and Dynamics (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Control and Systems Engineering (1.4k citations), Condensed Matter Physics (509 citations), Mechanical Engineering (1.3k citations) and Aerospace Engineering (728 citations). Mark Moll has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Lydia E. Kavraki, Ioan A. Şucan, Wei‐Min Shen, Behnam Salemi, Hod Lipson, Mark Yim, Gregory S. Chirikjian, Eric Klavins, Daniela Rus and Zachary Kingston. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics & Automation Magazine, BMC Bioinformatics, Journal of Computational Biology and IEEE Transactions on Robotics.
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.