N. Arulkumar
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
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- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 3
- IoT and Edge/Fog Computing 2
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- Blockchain Technology Applications and Security 3
- Spam and Phishing Detection 2
- Co-authors
- S. Neelakandan (5 shared papers)E. Fantin Irudaya Raj (1 shared paper)Nilesh Shelke (1 shared paper)J. Rene Beulah (1 shared paper)M. Prakash (3 shared papers)Saleem Raja Abdul Samad (2 shared papers)Chandramohan Dhasarathan (2 shared papers)Santosh Kumar Vishwakarma (1 shared paper)
- Journals
- Enterprise Information Systems (1 paper)Advances in Complex Systems (1 paper)Optik (1 paper)Soft Computing (1 paper)International Journal of Speech Technology (1 paper)
- Partner nations
- IndiaThailandUnited States
In The Last Decade
N. Arulkumar
13 papers receiving 297 citations
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 107
- Signal Processing 37
- Information Systems 74
- Health Information Management 14
- Building and Construction 40
Countries citing papers authored by N. Arulkumar
This map shows the geographic impact of N. Arulkumar'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 N. Arulkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Arulkumar more than expected).
Fields of papers citing papers by N. Arulkumar
This network shows the impact of papers produced by N. Arulkumar. 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 N. Arulkumar. The network helps show where N. Arulkumar may publish in the future.
Co-authors
The 19 scholars most cited alongside N. Arulkumar, 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 | 2021 | 107 | |
| 2 | 2022 | 52 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 26 | |
| 5 | 2022 | 16 | |
| 6 | 2023 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 1 |
About N. Arulkumar
N. Arulkumar is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing, having authored 13 papers that have together received 320 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Network Security and Intrusion Detection (3 papers), Spam and Phishing Detection (2 papers), Brain Tumor Detection and Classification (2 papers), IoT and Edge/Fog Computing (2 papers), Advanced Malware Detection Techniques (2 papers), Traffic Prediction and Management Techniques (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Computer Networks and Communications (107 citations), Signal Processing (37 citations), Information Systems (74 citations), Health Information Management (14 citations) and Building and Construction (40 citations). N. Arulkumar has collaborated with scholars based in India, Thailand and United States. Frequent co-authors include S. Neelakandan, E. Fantin Irudaya Raj, Nilesh Shelke, J. Rene Beulah, M. Prakash, Saleem Raja Abdul Samad, Chandramohan Dhasarathan, Santosh Kumar Vishwakarma, Abbas Mardani and Sudhanshu Maurya. Their work appears in journals such as Enterprise Information Systems, Advances in Complex Systems, Optik, Soft Computing and International Journal of Speech Technology.
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.