John J. Prevost
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 11
- Distributed and Parallel Computing Systems 4
- Software System Performance and Reliability 3
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- Cloud Computing and Resource Management 12
- Co-authors
- Mo Jamshidi (13 shared papers)Brian Kelley (5 shared papers)Paul Rad (8 shared papers)Patrick Benavidez (7 shared papers)Fatemeh Afghah (3 shared papers)Amanda Fernandez (1 shared paper)Abhijit Majumdar (4 shared papers)Ho‐Hoon Lee (1 shared paper)
- Journals
- IEEE Access (2 papers)International Journal of Control (1 paper)PLoS ONE (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE Systems Journal (1 paper)
- Partner nations
- United StatesSingaporeBelgium
In The Last Decade
John J. Prevost
32 papers receiving 471 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 197
- Information Systems 177
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 106
- Signal Processing 29
Countries citing papers authored by John J. Prevost
This map shows the geographic impact of John J. Prevost'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 John J. Prevost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Prevost more than expected).
Fields of papers citing papers by John J. Prevost
This network shows the impact of papers produced by John J. Prevost. 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 John J. Prevost. The network helps show where John J. Prevost may publish in the future.
Co-authors
The 14 scholars most cited alongside John J. Prevost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 123 | |
| 2 | 2023 | 51 | |
| 3 | 2015 | 42 | |
| 4 | 2018 | 34 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2020 | 19 | |
| 9 | 2016 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2005 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2013 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2014 | 6 | |
| 20 | 2025 | 5 |
About John J. Prevost
John J. Prevost is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 34 papers that have together received 488 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), IoT and Edge/Fog Computing (11 papers), Video Surveillance and Tracking Methods (5 papers), Anomaly Detection Techniques and Applications (4 papers), Distributed and Parallel Computing Systems (4 papers), Software System Performance and Reliability (3 papers), EEG and Brain-Computer Interfaces (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Computer Networks and Communications (197 citations), Information Systems (177 citations), Computer Vision and Pattern Recognition (101 citations), Artificial Intelligence (106 citations) and Signal Processing (29 citations). John J. Prevost has collaborated with scholars based in United States, Singapore and Belgium. Frequent co-authors include Mo Jamshidi, Brian Kelley, Paul Rad, Patrick Benavidez, Fatemeh Afghah, Amanda Fernandez, Abhijit Majumdar, Ho‐Hoon Lee, James Benson and Mehdi Roopaei. Their work appears in journals such as IEEE Access, International Journal of Control, PLoS ONE, IEEE Transactions on Multimedia and IEEE Systems Journal.
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.