James McMahon

421 total citations
28 papers, 309 citations indexed

About

James McMahon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, James McMahon has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Ocean Engineering. Recurrent topics in James McMahon's 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). James McMahon is often cited by papers focused on Robotic Path Planning Algorithms (13 papers), Underwater Vehicles and Communication Systems (12 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). James McMahon collaborates with scholars based in United States and Türkiye. James McMahon's 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 and has published in prestigious journals such as Journal of Applied Physics, IEEE Journal of Oceanic Engineering and Autonomous Robots.

In The Last Decade

James McMahon

28 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James McMahon United States 11 157 151 121 82 49 28 309
Arnau Carrera Spain 8 101 0.6× 111 0.7× 117 1.0× 63 0.8× 21 0.4× 11 295
José Carlos Alves Portugal 10 186 1.2× 50 0.3× 42 0.3× 43 0.5× 21 0.4× 40 313
Zewen Yang China 11 185 1.2× 86 0.6× 62 0.5× 69 0.8× 169 3.4× 28 356
Duane Davis United States 9 79 0.5× 87 0.6× 31 0.3× 119 1.5× 85 1.7× 26 259
Alison A. Proctor United States 8 140 0.9× 196 1.3× 40 0.3× 182 2.2× 42 0.9× 14 398
Alei Liang China 10 66 0.4× 84 0.6× 74 0.6× 33 0.4× 159 3.2× 40 314
Joel Reis Macao 11 64 0.4× 26 0.2× 59 0.5× 97 1.2× 50 1.0× 27 274
Zhen Fan China 10 28 0.2× 128 0.8× 104 0.9× 79 1.0× 87 1.8× 29 303
Joseph Djugash United States 8 76 0.5× 91 0.6× 90 0.7× 171 2.1× 124 2.5× 12 308
Ricardo Bedin Grando Brazil 9 75 0.5× 130 0.9× 95 0.8× 97 1.2× 18 0.4× 26 243

Countries citing papers authored by James McMahon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
McMahon, James & Erion Plaku. (2022). Autonomous Data Collection With Dynamic Goals and Communication Constraints for Marine Vehicles. IEEE Transactions on Automation Science and Engineering. 20(3). 1607–1620. 14 indexed citations
2.
Stilwell, Daniel J., et al.. (2022). Improved Multitarget Tracking in the Presence of Port–Starboard Measurement Ambiguity Using the Bayes Factor. IEEE Journal of Oceanic Engineering. 48(1). 199–217. 3 indexed citations
3.
McMahon, James, et al.. (2022). Leveraging Neural Networks to Guide Path Planning: Improving Dataset Generation and Planning Efficiency. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 667–674. 1 indexed citations
4.
McMahon, James, et al.. (2022). Non-Submodular Maximization via the Greedy Algorithm and the Effects of Limited Information in Multi-Agent Execution. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10118–10125. 1 indexed citations
5.
McMahon, James & Erion Plaku. (2021). Autonomous Data Collection With Timed Communication Constraints for Unmanned Underwater Vehicles. IEEE Robotics and Automation Letters. 6(2). 1832–1839. 30 indexed citations
6.
McMahon, James, et al.. (2021). Bearing-Only Active Sensing Under Merged Measurements. IEEE Robotics and Automation Letters. 6(3). 4544–4551. 6 indexed citations
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McMahon, James, et al.. (2021). Multi-agent Receding Horizon Search with Terminal Cost. 40. 9086–9092. 3 indexed citations
9.
Wolek, Artur, et al.. (2020). Tracking Multiple Surface Vessels With an Autonomous Underwater Vehicle: Field Results. IEEE Journal of Oceanic Engineering. 47(1). 32–45. 20 indexed citations
10.
Wolek, Artur, et al.. (2020). The Orbiting Dubins Traveling Salesman Problem: planning inspection tours for a minehunting AUV. Autonomous Robots. 45(1). 31–49. 12 indexed citations
11.
Stilwell, Daniel J., et al.. (2020). Extended Performance Guarantees for Receding Horizon Search with Terminal Cost. 6741–6748. 4 indexed citations
12.
McMahon, James, Guangyu Xu, Michael V. Jakuba, et al.. (2020). Demonstration of Autonomous Nested Search for Local Maxima Using an Unmanned Underwater Vehicle. 8. 1888–1895. 4 indexed citations
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Wilson, Mark A., James McMahon, Artur Wolek, David W. Aha, & Brian H. Houston. (2018). Goal reasoning for autonomous underwater vehicles: Responding to unexpected agents. AI Communications. 31(2). 151–166. 6 indexed citations
16.
Zalalutdinov, Maxim, Douglas M. Photiadis, William G. Szymczak, et al.. (2017). Mesh-type acoustic vector sensor. Journal of Applied Physics. 122(3). 5 indexed citations
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McMahon, James & Erion Plaku. (2015). Robot motion planning with task specifications via regular languages. Robotica. 35(1). 26–49. 10 indexed citations
19.
Wilson, Mark A., James McMahon, & David W. Aha. (2014). Bounded Expectations for Discrepancy Detection in Goal-Driven Autonomy. National Conference on Artificial Intelligence. 11 indexed citations
20.
McMahon, James & Erion Plaku. (2014). Sampling-based tree search with discrete abstractions for motion planning with dynamics and temporal logic. 3726–3733. 32 indexed citations

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.

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