K. S. Arikumar
Impact in
- Health Informatics top 10%
-
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
Papers in
-
- Context-Aware Activity Recognition Systems 2
-
- Privacy-Preserving Technologies in Data 3
- Co-authors
- Sahaya Beni Prathiba (14 shared papers)Thippa Reddy Gadekallu (6 shared papers)Mamoun Alazab (1 shared paper)Sharnil Pandya (1 shared paper)Javed Masood Khan (1 shared paper)V. Natarajan (2 shared papers)Suresh Chandra Satapathy (1 shared paper)Kapal Dev (1 shared paper)
In The Last Decade
K. S. Arikumar
16 papers receiving 239 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 11
- Computer Networks and Communications 86
- Artificial Intelligence 99
- Information Systems 45
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by K. S. Arikumar
This map shows the geographic impact of K. S. Arikumar'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 K. S. Arikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Arikumar more than expected).
Fields of papers citing papers by K. S. Arikumar
This network shows the impact of papers produced by K. S. Arikumar. 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 K. S. Arikumar. The network helps show where K. S. Arikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside K. S. Arikumar, 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 | 2022 | 111 | |
| 2 | 2022 | 42 | |
| 3 | 2020 | 27 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2024 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 0 |
About K. S. Arikumar
K. S. Arikumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems, having authored 17 papers that have together received 255 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (3 papers), Privacy-Preserving Technologies in Data (3 papers), Context-Aware Activity Recognition Systems (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), IoT-based Smart Home Systems (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Health Informatics (11 citations), Computer Networks and Communications (86 citations), Artificial Intelligence (99 citations), Information Systems (45 citations) and Computer Vision and Pattern Recognition (33 citations). K. S. Arikumar has collaborated with scholars based in India, China and Brazil. Frequent co-authors include Sahaya Beni Prathiba, Thippa Reddy Gadekallu, Mamoun Alazab, Sharnil Pandya, Javed Masood Khan, V. Natarajan, Suresh Chandra Satapathy, Kapal Dev, Gunasekaran Raja and Sudha Anbalagan. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Network Science and Engineering, IEEE Internet of Things Journal and Sensors.
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.