Mark Moll
-
- Robotic Path Planning Algorithms 35
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 22
- Robotic Mechanisms and Dynamics 6
- Condensed Matter Physics top 2%
- Mechanical Engineering top 1%
- Modular Robots and Swarm Intelligence 13
- Aerospace Engineering top 1%
- Robotics and Sensor-Based Localization 10
-
- Protein Structure and Dynamics 20
-
- Enzyme Structure and Function 11
-
- Computational Drug Discovery Methods 7
- Co-authors
- Lydia E. KavrakiIoan A. ŞucanWei‐Min ShenBehnam SalemiMark YimHod LipsonEric KlavinsGregory S. Chirikjian
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringCondensed Matter Physics
- Journals
- The International Journal of Robotics Research (5 papers)IEEE Robotics & Automation Magazine (4 papers)BMC Bioinformatics (3 papers)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Mark Moll
80 papers receiving 3.8k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2018 | 13 | |
| 3 | 2017 | 93 | |
| 4 | 2017 | 19 | |
| 5 | 2017 | 17 | |
| 6 | 2016 | 2 | |
| 7 | 2016 | 37 | |
| 8 | Combining a POMDP Abstraction with Replanning to Solve Complex, Position-Dependent Sensing Tasks | 2013 | 3 |
| 9 | 2013 | 1 | |
| 10 | 2013 | 10 | |
| 11 | 2010 | 26 | |
| 12 | 2010 | 60 | |
| 13 | 2010 | 12 | |
| 14 | Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics]breakdown → | 2007 | 712 |
| 15 | 2007 | 155 | |
| 16 | Head-Corner Parsing using Typed Feature Structures | 1999 | 1 |
| 17 | 1997 | 46 | |
| 18 | Language Engineering in Dialogue Systems | 1996 | 2 |
| 19 | Parsing in Dialogue Systems using Typed Feature Structures | 1995 | 4 |
| 20 | 1994 | 4 |
About Mark Moll
Mark Moll is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, 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, Mark Yim, Hod Lipson, Eric Klavins, Gregory S. Chirikjian, 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.