Bradley J. Rhodes

2.7k total citations
50 papers, 1.8k citations indexed

About

Bradley J. Rhodes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Bradley J. Rhodes has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Ocean Engineering. Recurrent topics in Bradley J. Rhodes's work include Context-Aware Activity Recognition Systems (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Target Tracking and Data Fusion in Sensor Networks (8 papers). Bradley J. Rhodes is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Target Tracking and Data Fusion in Sensor Networks (8 papers). Bradley J. Rhodes collaborates with scholars based in United States, Sweden and Australia. Bradley J. Rhodes's co-authors include Thad Starner, Neil A. Bomberger, Pattie Maes, Daniel Bullock, Allen M. Waxman, Michael Seibert, Jeffrey Levine, Rosalind W. Picard, Alex Pentland and Steve Mann and has published in prestigious journals such as Sensors, Neural Networks and IEEE Transactions on Computers.

In The Last Decade

Bradley J. Rhodes

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bradley J. Rhodes United States 17 618 517 408 280 266 50 1.8k
Chris Schmandt United States 26 699 1.1× 310 0.6× 1.3k 3.1× 188 0.7× 708 2.7× 72 2.5k
Steven F. Roth United States 29 949 1.5× 723 1.4× 148 0.4× 345 1.2× 140 0.5× 76 2.4k
Denis Gračanin United States 20 524 0.8× 247 0.5× 163 0.4× 272 1.0× 153 0.6× 175 1.4k
Aaron Quigley United Kingdom 25 807 1.3× 240 0.5× 1.1k 2.8× 152 0.5× 493 1.9× 168 2.4k
Jingying Chen China 23 629 1.0× 228 0.4× 124 0.3× 373 1.3× 247 0.9× 103 1.8k
Junehwa Song South Korea 28 939 1.5× 410 0.8× 513 1.3× 684 2.4× 136 0.5× 139 2.7k
Henk Muller United Kingdom 16 421 0.7× 139 0.3× 442 1.1× 216 0.8× 56 0.2× 67 1.4k
Christos Efstratiou United Kingdom 17 518 0.8× 183 0.4× 339 0.8× 338 1.2× 67 0.3× 48 1.4k
Salvatore Gaglio Italy 24 595 1.0× 928 1.8× 143 0.4× 457 1.6× 181 0.7× 193 2.2k
Akhil Mathur United Kingdom 21 501 0.8× 337 0.7× 231 0.6× 216 0.8× 141 0.5× 65 1.3k

Countries citing papers authored by Bradley J. Rhodes

Since Specialization
Citations

This map shows the geographic impact of Bradley J. Rhodes'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 Bradley J. Rhodes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley J. Rhodes more than expected).

Fields of papers citing papers by Bradley J. Rhodes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley J. Rhodes. 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 Bradley J. Rhodes. The network helps show where Bradley J. Rhodes may publish in the future.

Co-authorship network of co-authors of Bradley J. Rhodes

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley J. Rhodes. A scholar is included among the top collaborators of Bradley J. Rhodes 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 Bradley J. Rhodes. Bradley J. Rhodes 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.
Rhodes, Bradley J., et al.. (2023). Online Reinforcement Learning for Autonomous Sensor Control. 4. 1–10. 2 indexed citations
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Hagan, Ronald, Charles Phillips, Michael A. Langston, & Bradley J. Rhodes. (2017). Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. 3422–3425. 3 indexed citations
6.
Hagan, Ronald, Charles Phillips, Bradley J. Rhodes, & Michael A. Langston. (2017). Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning. 51. 1550–1556. 2 indexed citations
7.
Rhodes, Bradley J., et al.. (2013). Pretreatment for micro- or ultra-filtration/reverse osmosis water reuse: experience from Mid-Eastern Australia. Water Practice & Technology. 8(3-4). 515–526. 1 indexed citations
8.
Rhodes, Bradley J., et al.. (2009). Automated activity pattern learning and monitoring provide decision support to supervisors of busy environments. Intelligent Decision Technologies. 3(1). 59–74. 2 indexed citations
9.
Rhodes, Bradley J., et al.. (2009). Adaptive Mixture-Based Neural Network Approach for Higher-Level Fusion and Automated Behavior Monitoring. 39. 1–6. 10 indexed citations
10.
Antone, Matthew, et al.. (2009). Contextual object understanding through geospatial analysis and reasoning (COUGAR). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7335. 733506–733506. 2 indexed citations
11.
Zandipour, Majid, Bradley J. Rhodes, & Neil A. Bomberger. (2008). Probabilistic prediction of vessel motion at multiple spatial scales for maritime situation awareness. International Conference on Information Fusion. 1–6. 9 indexed citations
12.
Zandipour, Majid, Bradley J. Rhodes, & Neil A. Bomberger. (2008). COALESCE: A probabilistic ontology-based scene understanding approach. International Conference on Information Fusion. 1–6. 4 indexed citations
13.
Rhodes, Bradley J., Neil A. Bomberger, Michael Seibert, & Allen M. Waxman. (2006). Maritime Situation Monitoring and Awareness Using Learning Mechanisms. 1. 1–7. 66 indexed citations
14.
Bomberger, Neil A., Bradley J. Rhodes, Michael Seibert, & Allen M. Waxman. (2006). Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness. 1–8. 83 indexed citations
15.
Rhodes, Bradley J., Neil A. Bomberger, Michael Seibert, & Allen M. Waxman. (2006). SeeCoast: Automated Port Scene Understanding Facilitated by Normalcy Learning. 1. 1–7. 15 indexed citations
16.
Rhodes, Bradley J., Daniel Bullock, Willem B. Verwey, Bruno B. Averbeck, & Michael P. A. Page. (2004). Learning and production of movement sequences: Behavioral, neurophysiological, and modeling perspectives. Human Movement Science. 23(5). 699–746. 167 indexed citations
17.
Waxman, Allen M., David A. Fay, Bradley J. Rhodes, et al.. (2003). Information fusion for image analysis: geospatial foundations for higher-level fusion. 1. 562–569. 29 indexed citations
18.
Carpenter, Gail A., Siegfried Martens, Ogi Ogas, & Bradley J. Rhodes. (2003). Information Fusion and Hierarchical Knowledge Discovery by ARTMAP Neural Networks. OpenBU/Boston University Institutional Repository (Boston University). 3 indexed citations
19.
Bullock, Daniel & Bradley J. Rhodes. (2002). Competitive Queing for Planning and Serial Performance. OpenBU/Boston University Institutional Repository (Boston University). 16 indexed citations
20.
Rhodes, Bradley J. & Pattie Maes. (2000). Just-in-time information retrieval agents. IBM Systems Journal. 39(3.4). 685–704. 133 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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