Thompson Stephan
Impact in
-
- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Cognitive Radio Networks and Spectrum Sensing
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- Energy Efficient Wireless Sensor Networks 13
- IoT and Edge/Fog Computing 9
- Mobile Ad Hoc Networks 6
- Cognitive Radio Networks and Spectrum Sensing 5
- Co-authors
- Manoj KumarFadi Al‐TurjmanPremkumar ChithaluruS. PunithaAchyut ShankarK. Suresh JosephRamani KannanLeonardo Mostarda
- Journals
- IEEE Access (4 papers)Sustainability (3 papers)Sustainable Cities and Society (3 papers)Scientific Reports (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- IndiaCyprusUnited Arab Emirates
In The Last Decade
Thompson Stephan
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Computer Networks and Communications 425
- Artificial Intelligence 303
- Information Systems 151
- Health Information Management 30
- Computer Vision and Pattern Recognition 126
Countries citing papers authored by Thompson Stephan
This map shows the geographic impact of Thompson Stephan'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 Thompson Stephan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thompson Stephan more than expected).
Fields of papers citing papers by Thompson Stephan
This network shows the impact of papers produced by Thompson Stephan. 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 Thompson Stephan. The network helps show where Thompson Stephan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thompson Stephan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 38 | |
| 16 | 2021 | 43 | |
| 17 | 2021 | 14 | |
| 18 | 2021 | 15 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 9 |
About Thompson Stephan
Thompson Stephan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (13 papers), IoT and Edge/Fog Computing (9 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Mobile Ad Hoc Networks (6 papers), EEG and Brain-Computer Interfaces (6 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Energy Harvesting in Wireless Networks (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Computer Networks and Communications (425 citations), Artificial Intelligence (303 citations), Information Systems (151 citations), Health Information Management (30 citations) and Computer Vision and Pattern Recognition (126 citations). Thompson Stephan has collaborated with scholars based in India, Cyprus and United Arab Emirates. Frequent co-authors include Manoj Kumar, Fadi Al‐Turjman, Premkumar Chithaluru, S. Punitha, Achyut Shankar, K. Suresh Joseph, Ramani Kannan, Leonardo Mostarda, Пэйдэ Лю and Balamurugan Balusamy. Their work appears in journals such as IEEE Access, Sustainability, Sustainable Cities and Society, Scientific Reports and IEEE Internet of Things 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.