A. Kumaravel
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- Network Security and Intrusion Detection 3
- Hardware and Architecture top 10%
- Information Systems top 5%
- Data Mining Algorithms and Applications 6
- Artificial Intelligence top 5%
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- Rough Sets and Fuzzy Logic 6
- Cellular Automata and Applications 5
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- Online Learning and Analytics 3
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- Retinal Imaging and Analysis 3
- COVID-19 diagnosis using AI 3
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- Data Management and Algorithms 3
- Co-authors
- K. RangarajanM. SudhaB. KarthikC. NaliniAijaz Ahmad ReshiS. SivasubramanianR. UdayakumarR. Karthikeyan
- Journals
- SHILAP Revista de lepidopterología (1 paper)Cluster Computing (1 paper)Indian Journal of Science and Technology (11 papers)
In The Last Decade
A. Kumaravel
41 papers receiving 796 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 300
- Hardware and Architecture 71
- Health Information Management 44
- Information Systems 176
- Artificial Intelligence 245
Countries citing papers authored by A. Kumaravel
This map shows the geographic impact of A. Kumaravel'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 A. Kumaravel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kumaravel more than expected).
Fields of papers citing papers by A. Kumaravel
This network shows the impact of papers produced by A. Kumaravel. 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 A. Kumaravel. The network helps show where A. Kumaravel may publish in the future.
Co-authorship network
The 11 scholars most cited alongside A. Kumaravel, 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 | 2024 | 2 | |
| 2 | 2021 | 1 | |
| 3 | Intentions Of Online Shoppers Prediction By Fuzzy Petri Nets Construction | 2020 | 2 |
| 4 | 2019 | 4 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 0 | |
| 7 | 2019 | 2 | |
| 8 | Multi Model Security System: QR and Iris Systems | 2018 | 2 |
| 9 | 2015 | 1 | |
| 10 | SIGNIFICANCE OF INFORMATION GAIN RATIO FOR IMPROVING CLASSIFICATION OF HEART DISEASES | 2015 | 0 |
| 11 | ENHANCING THE ACCURACY 0F SVM CLASSIFIERS WITH KERNEL AND PARAMETER TRAINING | 2015 | 0 |
| 12 | 2014 | 4 | |
| 13 | A NOVEL SUBSET SELECTION FOR CLASSIFICATION OF DIABETES DATASET BY ITERATIVE METHODS | 2014 | 2 |
| 14 | 2013 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2013 | 4 | |
| 19 | Clustering Technique for Segmentation of Exudates in Fundus Image | 2013 | 1 |
| 20 | A novel algorithm with IM-LSI index for incremental maintenance of materialized view | 2012 | 7 |
About A. Kumaravel
A. Kumaravel is a scholar working on Computational Theory and Mathematics, Signal Processing and Computer Networks and Communications, having authored 51 papers that have together received 824 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (6 papers), Cellular Automata and Applications (5 papers), Online Learning and Analytics (3 papers), Retinal Imaging and Analysis (3 papers), Network Security and Intrusion Detection (3 papers), COVID-19 diagnosis using AI (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Networks and Communications (300 citations), Hardware and Architecture (71 citations) and Health Information Management (44 citations). A. Kumaravel has collaborated with scholars based in India, Australia and Israel. Frequent co-authors include K. Rangarajan, M. Sudha, B. Karthik, C. Nalini, Aijaz Ahmad Reshi, S. Sivasubramanian, R. Udayakumar, R. Karthikeyan, Shyamala Thirunavukkarasu and S. Anusuya. Their work appears in journals such as SHILAP Revista de lepidopterología, Cluster Computing and Indian Journal of Science and 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.