G. Suseendran
Impact in
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
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- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Network Security and Intrusion Detection
Papers in
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- Data Mining Algorithms and Applications 5
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- Mobile Ad Hoc Networks 4
- IoT and Edge/Fog Computing 4
- Opportunistic and Delay-Tolerant Networks 4
- Co-authors
- Anand Nayyar (5 shared papers)Dac‐Nhuong Le (1 shared paper)Lê Hoàng Sơn (1 shared paper)D. Akila (8 shared papers)Srinath Doss (1 shared paper)Sudeep Tanwar (1 shared paper)Ashish Khanna (1 shared paper)G. Palai (2 shared papers)
In The Last Decade
G. Suseendran
37 papers receiving 278 citations
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 39
- Computer Networks and Communications 88
- Computer Vision and Pattern Recognition 51
- Information Systems 49
- Health Information Management 8
Countries citing papers authored by G. Suseendran
This map shows the geographic impact of G. Suseendran'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 G. Suseendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Suseendran more than expected).
Fields of papers citing papers by G. Suseendran
This network shows the impact of papers produced by G. Suseendran. 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 G. Suseendran. The network helps show where G. Suseendran may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Suseendran, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 91 | |
| 2 | 2018 | 46 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 16 | |
| 5 | 2018 | 13 | |
| 6 | 2021 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2021 | 3 |
About G. Suseendran
G. Suseendran is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Health Information Management, having authored 45 papers that have together received 300 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Data Mining Algorithms and Applications (5 papers), Mobile Ad Hoc Networks (4 papers), IoT and Edge/Fog Computing (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Big Data and Business Intelligence (3 papers), Imbalanced Data Classification Techniques (3 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Human-Computer Interaction (39 citations), Computer Networks and Communications (88 citations), Computer Vision and Pattern Recognition (51 citations), Information Systems (49 citations) and Health Information Management (8 citations). G. Suseendran has collaborated with scholars based in India, Vietnam and Malaysia. Frequent co-authors include Anand Nayyar, Dac‐Nhuong Le, Lê Hoàng Sơn, D. Akila, Srinath Doss, Sudeep Tanwar, Ashish Khanna, G. Palai, N. Z. Jhanjhi and Mamoona Humayun. Their work appears in journals such as Indian Journal of Science and Technology, Optik, IEEE Access, International Journal of Communication Networks and Information Security (IJCNIS) and The Journal of Supercomputing.
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.