Benjamin Charrow
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Optimization and Search Problems 4
- Distributed Control Multi-Agent Systems 2
- Distributed Sensor Networks and Detection Algorithms 2
- Distributed systems and fault tolerance 1
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- Target Tracking and Data Fusion in Sensor Networks 2
- Machine Learning and Algorithms 1
- Co-authors
- Nathan Michael (5 shared papers)Vijay Kumar (5 shared papers)Sikang Liu (2 shared papers)Sachin Patil (1 shared paper)Ken Goldberg (1 shared paper)Pieter Abbeel (1 shared paper)Gregory Kahn (1 shared paper)Vijay Kumar (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)Autonomous Robots (1 paper)ScholarlyCommons (University of Pennsylvania) (1 paper)
- Partner nations
- United States
In The Last Decade
Benjamin Charrow
7 papers receiving 321 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 183
- Aerospace Engineering 205
- Computer Networks and Communications 130
- Artificial Intelligence 114
- Geology 19
Countries citing papers authored by Benjamin Charrow
This map shows the geographic impact of Benjamin Charrow'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 Benjamin Charrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Charrow more than expected).
Fields of papers citing papers by Benjamin Charrow
This network shows the impact of papers produced by Benjamin Charrow. 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 Benjamin Charrow. The network helps show where Benjamin Charrow may publish in the future.
Co-authors
The 10 scholars most cited alongside Benjamin Charrow, 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 | 2015 | 109 | |
| 2 | 2015 | 100 | |
| 3 | 2014 | 60 | |
| 4 | 2013 | 30 | |
| 5 | 2013 | 20 | |
| 6 | Information-Theoretic Active Perception for Multi-Robot Teams | 2015 | 16 |
| 7 | 2014 | 4 |
About Benjamin Charrow
Benjamin Charrow is a scholar working on Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 7 papers that have together received 339 indexed citations. Recurring topics across this work include Optimization and Search Problems (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Robotics and Sensor-Based Localization (2 papers), Distributed Control Multi-Agent Systems (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Modular Robots and Swarm Intelligence (1 paper), Machine Learning and Algorithms (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Aerospace Engineering (205 citations), Computer Networks and Communications (130 citations), Artificial Intelligence (114 citations) and Geology (19 citations). Benjamin Charrow has collaborated with scholars based in United States. Frequent co-authors include Nathan Michael, Vijay Kumar, Sikang Liu, Sachin Patil, Ken Goldberg, Pieter Abbeel, Gregory Kahn, Vijay Kumar, Alejandro Ribeiro and Jonathan Fink. Their work appears in journals such as The International Journal of Robotics Research, Autonomous Robots and ScholarlyCommons (University of Pennsylvania).
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.