H. Anandakumar
Impact in
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- Smart Systems and Machine Learning
- Cognitive Radio Networks and Spectrum Sensing
- IoT and Edge/Fog Computing
- Information Systems top 2%
- Internet of Things and AI
Papers in
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- Smart Systems and Machine Learning 13
- Cognitive Radio Networks and Spectrum Sensing 6
- Distributed Sensor Networks and Detection Algorithms 2
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- Internet of Things and AI 11
- Co-authors
- K. Umamaheswari (3 shared papers)R. Arulmurugan (15 shared papers)S. Deepak (2 shared papers)T. Thamaraimanalan (2 shared papers)S. Dhanasekaran (1 shared paper)Chee‐Onn Chow (3 shared papers)Yogesh K. Chauhan (1 shared paper)Tanmoy Maity (1 shared paper)
In The Last Decade
H. Anandakumar
37 papers receiving 626 citations
Peers
Comparison fields: 5 of 103
- Computer Networks and Communications 502
- Information Systems 325
- Management Science and Operations Research 57
- Health Information Management 20
- Management of Technology and Innovation 21
Countries citing papers authored by H. Anandakumar
This map shows the geographic impact of H. Anandakumar'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 H. Anandakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Anandakumar more than expected).
Fields of papers citing papers by H. Anandakumar
This network shows the impact of papers produced by H. Anandakumar. 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 H. Anandakumar. The network helps show where H. Anandakumar may publish in the future.
Co-authors
The 10 scholars most cited alongside H. Anandakumar, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2017 | 170 | |
| 3 | 2017 | 51 | |
| 4 | 2015 | 40 | |
| 5 | 2013 | 37 | |
| 6 | 2021 | 32 | |
| 7 | 2019 | 32 | |
| 8 | 2018 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2017 | 7 |
About H. Anandakumar
H. Anandakumar is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Mechanical Engineering and Artificial Intelligence, having authored 41 papers that have together received 756 indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (13 papers), Internet of Things and AI (11 papers), Cognitive Radio Networks and Spectrum Sensing (6 papers), IoT and GPS-based Vehicle Safety Systems (4 papers), Power Line Communications and Noise (3 papers), Energy Harvesting in Wireless Networks (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Computer Networks and Communications (502 citations), Information Systems (325 citations), Management Science and Operations Research (57 citations), Health Information Management (20 citations) and Management of Technology and Innovation (21 citations). H. Anandakumar has collaborated with scholars based in India, Malaysia and Canada. Frequent co-authors include K. Umamaheswari, R. Arulmurugan, S. Deepak, T. Thamaraimanalan, S. Dhanasekaran, Chee‐Onn Chow, Yogesh K. Chauhan, Tanmoy Maity, N. Chandrasekar and S. Pavithra. Their work appears in journals such as Sensors International, Computers & Electrical Engineering, Mobile Networks and Applications, Applied Computational Intelligence and Soft Computing and Intelligent Automation & Soft 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.