Boris Sofman
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Anomaly Detection Techniques and Applications 4
- Machine Learning and Algorithms 3
- Data Stream Mining Techniques 2
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- Robotics and Sensor-Based Localization 5
- Co-authors
- J. Andrew Bagnell (9 shared papers)Anthony Stentz (6 shared papers)Nicolas Vandapel (4 shared papers)Anthony Stentz (2 shared papers)John W. Cole (1 shared paper)David Silver (1 shared paper)David M. Bradley (1 shared paper)David M. Silver (1 shared paper)
- Journals
- Journal of Field Robotics (2 papers)IEEE Robotics & Automation Magazine (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)Figshare (4 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Boris Sofman
9 papers receiving 268 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 157
- Aerospace Engineering 143
- Automotive Engineering 34
- Artificial Intelligence 78
- Control and Systems Engineering 45
Countries citing papers authored by Boris Sofman
This map shows the geographic impact of Boris Sofman'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 Boris Sofman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Sofman more than expected).
Fields of papers citing papers by Boris Sofman
This network shows the impact of papers produced by Boris Sofman. 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 Boris Sofman. The network helps show where Boris Sofman may publish in the future.
Co-authors
The 9 scholars most cited alongside Boris Sofman, 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 | 2006 | 81 | |
| 2 | 2010 | 59 | |
| 3 | 2006 | 37 | |
| 4 | 2006 | 36 | |
| 5 | 2011 | 28 | |
| 6 | 2010 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2011 | 11 | |
| 9 | 2010 | 1 | |
| 10 | 2021 | 0 |
About Boris Sofman
Boris Sofman is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Automotive Engineering, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers), Anomaly Detection Techniques and Applications (4 papers), Machine Learning and Algorithms (3 papers), Data Stream Mining Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Aerospace Engineering (143 citations), Automotive Engineering (34 citations), Artificial Intelligence (78 citations) and Control and Systems Engineering (45 citations). Boris Sofman has collaborated with scholars based in United States. Frequent co-authors include J. Andrew Bagnell, Anthony Stentz, Nicolas Vandapel, Anthony Stentz, John W. Cole, David Silver, David M. Bradley, David M. Silver and Debadeepta Dey. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics & Automation Magazine, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), Figshare and Proceedings of the AAAI Conference on Artificial Intelligence.
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.