A. Kumaravel

1.9k total citations
51 papers, 824 citations indexed

About

A. Kumaravel is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, A. Kumaravel has authored 51 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 13 papers in Computational Theory and Mathematics. Recurrent topics in A. Kumaravel's work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (6 papers) and Cellular Automata and Applications (5 papers). A. Kumaravel is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (6 papers) and Cellular Automata and Applications (5 papers). A. Kumaravel collaborates with scholars based in India, Australia and Israel. A. Kumaravel's co-authors include K. Rangarajan, M. Sudha, B. Karthik, C. Nalini, Aijaz Ahmad Reshi, S. Sivasubramanian, R. Udayakumar, S. Anusuya, B. Kalaiselvi and R. Karthikeyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cluster Computing and Indian Journal of Science and Technology.

In The Last Decade

A. Kumaravel

41 papers receiving 796 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Kumaravel India 11 300 245 176 93 90 51 824
Basel A. Mahafzah Jordan 18 235 0.8× 194 0.8× 132 0.8× 120 1.3× 103 1.1× 34 617
Zheng Zheng China 18 365 1.2× 175 0.7× 484 2.8× 51 0.5× 70 0.8× 106 897
Prabhakar Krishnan India 15 309 1.0× 202 0.8× 132 0.8× 146 1.6× 77 0.9× 44 654
Yi Tang China 12 480 1.6× 470 1.9× 347 2.0× 108 1.2× 106 1.2× 60 948
Shahriar Lotfi Iran 12 134 0.4× 276 1.1× 89 0.5× 32 0.3× 35 0.4× 52 503
Devesh C. Jinwala India 14 528 1.8× 363 1.5× 265 1.5× 108 1.2× 175 1.9× 92 969
Ripon Patgiri India 14 275 0.9× 199 0.8× 127 0.7× 101 1.1× 91 1.0× 61 589
Kai Zhao China 13 315 1.1× 380 1.6× 240 1.4× 78 0.8× 53 0.6× 51 787
Beizhan Wang China 14 221 0.7× 202 0.8× 158 0.9× 139 1.5× 49 0.5× 57 601

Countries citing papers authored by A. Kumaravel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of A. Kumaravel

This figure shows the co-authorship network connecting the top 25 collaborators of A. Kumaravel. A scholar is included among the top collaborators of A. Kumaravel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Kumaravel. A. Kumaravel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumaravel, A., et al.. (2024). Hybrid Gamification and AI Tutoring Framework using Machine Learning and Adaptive Neuro-Fuzzy Inference System. Journal of Advanced Research in Applied Sciences and Engineering Technology. 42(2). 221–233. 2 indexed citations
2.
Sudha, M., et al.. (2021). Predicting heart failure using data mining with Rough set theory and Fuzzy Petri Net. Journal of Physics Conference Series. 1724(1). 12033–12033. 1 indexed citations
3.
Kumaravel, A., et al.. (2020). Intentions Of Online Shoppers Prediction By Fuzzy Petri Nets Construction. International journal of scientific and technology research. 9(2). 1761–1768. 2 indexed citations
4.
Nalini, C., et al.. (2019). Preprocessing Medical Images for Classification using Deep Learning Techniques. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 711–716. 4 indexed citations
5.
Kumaravel, A., et al.. (2019). Construction Of Opinion Models For E-Learning Courses By Rough Set Theory And Text Mining. International Journal of Engineering and Advanced Technology. 8(6). 1107–1111. 2 indexed citations
6.
Kumaravel, A., et al.. (2019). Linear Regression and Support Vector Machine for Classification of E-Learning Students’ Engagement and Performance. International Journal of Engineering and Advanced Technology. 8(6). 2697–2700. 2 indexed citations
7.
8.
Kumaravel, A., et al.. (2019). Efficient Algorithm for Mining High Utility Item Sets. International Journal of Engineering and Advanced Technology. 8(6s2). 656–659.
9.
Kumaravel, A., et al.. (2018). Multi Model Security System: QR and Iris Systems. 10. 300–306. 2 indexed citations
10.
Karthikeyan, R., et al.. (2015). SIGNIFICANCE OF INFORMATION GAIN RATIO FOR IMPROVING CLASSIFICATION OF HEART DISEASES. International Journal of Pharma and Bio Sciences.
11.
Kumaravel, A., et al.. (2015). ENHANCING THE ACCURACY 0F SVM CLASSIFIERS WITH KERNEL AND PARAMETER TRAINING. International Journal of Pharma and Bio Sciences.
12.
Kumaravel, A., et al.. (2015). Measuring Employee Performance Key Indicators by Fuzzy Petri Nets. Research Journal of Applied Sciences Engineering and Technology. 9(7). 485–490. 1 indexed citations
13.
Sudha, M. & A. Kumaravel. (2014). Performance Comparison based on Attribute Selection Tools for Data Mining. Indian Journal of Science and Technology. 7(7). 61–65. 4 indexed citations
14.
Kumaravel, A., et al.. (2014). A NOVEL SUBSET SELECTION FOR CLASSIFICATION OF DIABETES DATASET BY ITERATIVE METHODS. International Journal of Pharma and Bio Sciences. 2 indexed citations
15.
Kumaravel, A. & K. Rangarajan. (2013). Algorithm for Automaton Specification for Exploring Dynamic Labyrinths. Indian Journal of Science and Technology. 6. 4554–4559. 4 indexed citations
16.
Kumaravel, A., et al.. (2013). Fuzzy Data Mining as a Tool to Infer Pollution Severity of Power Transmission Line System. Journal of Applied Science and Engineering. 16(1). 79–87. 1 indexed citations
17.
Kumaravel, A. & R. Udayakumar. (2013). Web Portal Visits Patterns Predicted by Intuitionistic Fuzzy Approach. Indian Journal of Science and Technology. 6. 4549–4553. 2 indexed citations
18.
Udayakumar, R., A. Kumaravel, & K. Rangarajan. (2013). Introducing an Efficient Programming Paradigm for Object-oriented Distributed Systems. Indian Journal of Science and Technology. 6. 4596–4603. 1 indexed citations
19.
Kumaravel, A., et al.. (2013). Layered Approach for Predicting Protein Subcellular Localization in Yeast Microarray Data. Indian Journal of Science and Technology. 6. 4567–4571. 2 indexed citations
20.
Rangarajan, K., et al.. (2012). A novel algorithm with IM-LSI index for incremental maintenance of materialized view. SHILAP Revista de lepidopterología. 7 indexed citations

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.

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