Paul Rad
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Video Surveillance and Tracking Methods 8
- Advanced Neural Network Applications 5
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- Cloud Computing and Resource Management 11
- Co-authors
- Kim‐Kwang Raymond Choo (12 shared papers)Mehdi Roopaei (8 shared papers)Mo Jamshidi (25 shared papers)Gonzalo De La Torre Parra (3 shared papers)Nicole Beebe (3 shared papers)Gonzalo de la Torre (1 shared paper)John J. Prevost (8 shared papers)Patrick Benavidez (5 shared papers)
- Journals
- Journal of Network and Computer Applications (2 papers)IEEE Transactions on Big Data (2 papers)IEEE Access (2 papers)Future Generation Computer Systems (2 papers)IEEE Cloud Computing (1 paper)
- Partner nations
- United StatesRomaniaIran
In The Last Decade
Paul Rad
76 papers receiving 2.0k citations
Paul Rad's Hit Papers
Peers
Comparison fields: 5 of 139
- Signal Processing 344
- Computer Networks and Communications 639
- Computer Vision and Pattern Recognition 444
- Information Systems 397
- Artificial Intelligence 563
Countries citing papers authored by Paul Rad
This map shows the geographic impact of Paul Rad'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 Paul Rad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Rad more than expected).
Fields of papers citing papers by Paul Rad
This network shows the impact of papers produced by Paul Rad. 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 Paul Rad. The network helps show where Paul Rad may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Rad, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Detecting Internet of Things attacks using distributed deep learning Hit paper breakdown → | 2020 | 241 |
| 2 | 2017 | 212 | |
| 3 | 2018 | 139 | |
| 4 | 2019 | 85 | |
| 5 | 2019 | 85 | |
| 6 | 2018 | 72 | |
| 7 | 2020 | 60 | |
| 8 | 2020 | 57 | |
| 9 | 2017 | 56 | |
| 10 | 2016 | 52 | |
| 11 | 2019 | 47 | |
| 12 | 2018 | 45 | |
| 13 | 2017 | 45 | |
| 14 | 2015 | 43 | |
| 15 | 2021 | 36 | |
| 16 | 2017 | 32 | |
| 17 | 2018 | 32 | |
| 18 | 2018 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2016 | 26 |
About Paul Rad
Paul Rad is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computer Networks and Communications and Cognitive Neuroscience, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Video Surveillance and Tracking Methods (8 papers), IoT and Edge/Fog Computing (6 papers), Advanced Data Storage Technologies (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (344 citations), Computer Networks and Communications (639 citations), Computer Vision and Pattern Recognition (444 citations), Information Systems (397 citations) and Artificial Intelligence (563 citations). Paul Rad has collaborated with scholars based in United States, Romania and Iran. Frequent co-authors include Kim‐Kwang Raymond Choo, Mehdi Roopaei, Mo Jamshidi, Gonzalo De La Torre Parra, Nicole Beebe, Gonzalo de la Torre, John J. Prevost, Patrick Benavidez, Arun Das and Yufei Huang. Their work appears in journals such as Journal of Network and Computer Applications, IEEE Transactions on Big Data, IEEE Access, Future Generation Computer Systems and IEEE Cloud Computing.
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.