Arun Kumar Sangaiah
- Computer Networks and Communications top 0.05%
- IoT and Edge/Fog Computing 72
- Network Security and Intrusion Detection 37
- Energy Efficient Wireless Sensor Networks 31
- Information Systems top 0.05%
- Cloud Computing and Resource Management 24
- Blockchain Technology Applications and Security 21
- Artificial Intelligence top 0.1%
- Cryptography and Data Security 19
- Signal Processing top 0.2%
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- Multi-Criteria Decision Making 22
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- Wireless Body Area Networks 18
- Co-authors
- Jin WangXiong LiMohamed Abdel‐BassetSaru KumariKhan MuhammadYu GaoAli Asghar Rahmani HosseinabadiMohamed Elhoseny
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (4 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
In The Last Decade
Arun Kumar Sangaiah
464 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Networks and Communications 6.9k
- Information Systems 4.2k
- Computer Vision and Pattern Recognition 3.3k
- Artificial Intelligence 4.9k
- Signal Processing 1.5k
Countries citing papers authored by Arun Kumar Sangaiah
This map shows the geographic impact of Arun Kumar Sangaiah'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 Arun Kumar Sangaiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Kumar Sangaiah more than expected).
Fields of papers citing papers by Arun Kumar Sangaiah
This network shows the impact of papers produced by Arun Kumar Sangaiah. 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 Arun Kumar Sangaiah. The network helps show where Arun Kumar Sangaiah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arun Kumar Sangaiah, 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 | 12 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 40 | |
| 10 | 2023 | 26 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 28 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 22 | |
| 17 | 2020 | 54 | |
| 18 | 2019 | 17 | |
| 19 | 2018 | 14 | |
| 20 | 2017 | 81 |
About Arun Kumar Sangaiah
Arun Kumar Sangaiah is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 483 papers that have together received 18.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (72 papers), Network Security and Intrusion Detection (37 papers), Energy Efficient Wireless Sensor Networks (31 papers), Cloud Computing and Resource Management (24 papers), Multi-Criteria Decision Making (22 papers), Blockchain Technology Applications and Security (21 papers), Cryptography and Data Security (19 papers) and Wireless Body Area Networks (18 papers). The work is most often cited by research in Computer Networks and Communications (6.9k citations), Information Systems (4.2k citations) and Computer Vision and Pattern Recognition (3.3k citations). Arun Kumar Sangaiah has collaborated with scholars based in India, China and Taiwan. Frequent co-authors include Jin Wang, Xiong Li, Mohamed Abdel‐Basset, Saru Kumari, Khan Muhammad, Yu Gao, Ali Asghar Rahmani Hosseinabadi, Mohamed Elhoseny, Tie Qiu and Oluwarotimi Williams Samuel. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.