James McMahon
- Ocean Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Computer Networks and Communications
- Co-authors
- Erion PlakuArtur WolekBrian H. HoustonDaniel J. StilwellDavid W. AhaMark A. WilsonMichael M. ZavlanosMaxim Zalalutdinov
- Topics
- Robotic Path Planning Algorithms (13 papers)Underwater Vehicles and Communication Systems (12 papers)Target Tracking and Data Fusion in Sensor Networks (7 papers)
- Partner nations
- United StatesTürkiye
In The Last Decade
James McMahon
28 papers receiving 302 citations
Peers
Comparison fields: 5 of 41
- Ocean Engineering 157
- Computer Vision and Pattern Recognition 151
- Artificial Intelligence 121
- Aerospace Engineering 82
- Computer Networks and Communications 49
Countries citing papers authored by James McMahon
This map shows the geographic impact of James McMahon'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 James McMahon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James McMahon more than expected).
Fields of papers citing papers by James McMahon
This network shows the impact of papers produced by James McMahon. 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 James McMahon. The network helps show where James McMahon may publish in the future.
Co-authorship network of co-authors of James McMahon
This figure shows the co-authorship network connecting the top 25 collaborators of James McMahon. A scholar is included among the top collaborators of James McMahon 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 James McMahon. James McMahon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 10 | |
| 19 | Bounded Expectations for Discrepancy Detection in Goal-Driven Autonomy | 11 |
| 20 | 32 |
About James McMahon
James McMahon is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Oceanography, having authored 28 papers that have together received 309 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Underwater Vehicles and Communication Systems (12 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). The work is most often cited by research in Ocean Engineering (157 citations), Computer Vision and Pattern Recognition (151 citations) and Artificial Intelligence (121 citations). James McMahon has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Erion Plaku, Artur Wolek, Brian H. Houston, Daniel J. Stilwell, David W. Aha, Mark A. Wilson, Michael M. Zavlanos, Maxim Zalalutdinov, Douglas M. Photiadis and J. A. Bucaro. Their work appears in journals such as Journal of Applied Physics, IEEE Journal of Oceanic Engineering and Autonomous Robots.
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.