Jason Campbell
- Mechanical Engineering top 5%
- Condensed Matter Physics top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Seth Copen GoldsteinTodd C. MowryPadmanabhan PillaiRahul SukthankarIllah NourbakhshMichael De RosaPeter LeeNaohiro Shibuya
- Topics
- Modular Robots and Swarm Intelligence (24 papers)Micro and Nano Robotics (11 papers)Optimization and Search Problems (7 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Jason Campbell
33 papers receiving 910 citations
Peers
Comparison fields: 5 of 73
- Mechanical Engineering 570
- Condensed Matter Physics 265
- Computer Networks and Communications 245
- Computer Vision and Pattern Recognition 234
- Biomedical Engineering 191
Countries citing papers authored by Jason Campbell
This map shows the geographic impact of Jason Campbell'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 Jason Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Campbell more than expected).
Fields of papers citing papers by Jason Campbell
This network shows the impact of papers produced by Jason Campbell. 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 Jason Campbell. The network helps show where Jason Campbell may publish in the future.
Co-authorship network of co-authors of Jason Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Campbell. A scholar is included among the top collaborators of Jason Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Campbell. Jason Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 72 | |
| 5 | 6 | |
| 6 | 23 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 6 | |
| 10 | 65 | |
| 11 | 42 | |
| 12 | 13 | |
| 13 | 101 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 217 | |
| 17 | 22 | |
| 18 | Visual odometry using commodity optical flow | 3 |
| 19 | 11 | |
| 20 | 7 |
About Jason Campbell
Jason Campbell is a scholar working on Condensed Matter Physics, Mechanical Engineering and Computer Networks and Communications, having authored 35 papers that have together received 978 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (24 papers), Micro and Nano Robotics (11 papers) and Optimization and Search Problems (7 papers). The work is most often cited by research in Condensed Matter Physics (265 citations), Mechanical Engineering (570 citations) and Internal Medicine (57 citations). Jason Campbell has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Seth Copen Goldstein, Todd C. Mowry, Padmanabhan Pillai, Rahul Sukthankar, Illah Nourbakhsh, Michael De Rosa, Peter Lee, Naohiro Shibuya, Matthew L. Davis and Daniel C. Jupiter. Their work appears in journals such as The International Journal of Robotics Research, Computer and Neural Computing and Applications.
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.