T. Kathirvalavakumar

613 total citations
27 papers, 397 citations indexed

About

T. Kathirvalavakumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, T. Kathirvalavakumar has authored 27 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in T. Kathirvalavakumar's work include Neural Networks and Applications (13 papers), Face and Expression Recognition (6 papers) and Data Mining Algorithms and Applications (5 papers). T. Kathirvalavakumar is often cited by papers focused on Neural Networks and Applications (13 papers), Face and Expression Recognition (6 papers) and Data Mining Algorithms and Applications (5 papers). T. Kathirvalavakumar collaborates with scholars based in India, Norway and Ireland. T. Kathirvalavakumar's co-authors include M. Gethsiyal Augasta, Rajendra Prasath, Anil Kumar Vuppala and Philip O’Reilly and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Lecture notes in computer science.

In The Last Decade

T. Kathirvalavakumar

27 papers receiving 375 citations

Peers

T. Kathirvalavakumar

CVPR

EEE

CSE

Junhua Gu China

M. A. Makhlouf Egypt

Tiantian He China

Yupeng Chen China

Ofir Nachum United States

Ayan Acharya United States

Mingxing Duan China

Hongbin Yu China

Kevin Ho Taiwan

Junhua Gu China

T. Kathirvalavakumar

237 ×0.9

111 ×1.2

CVPR

53 ×1.5

EEE

63 ×1.8

46 ×1.4

CSE

Citations per year, relative to T. Kathirvalavakumar T. Kathirvalavakumar (= 1×) peers Junhua Gu

Countries citing papers authored by T. Kathirvalavakumar

Since Specialization

Citations

This map shows the geographic impact of T. Kathirvalavakumar'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 T. Kathirvalavakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kathirvalavakumar more than expected).

Fields of papers citing papers by T. Kathirvalavakumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Kathirvalavakumar. 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 T. Kathirvalavakumar. The network helps show where T. Kathirvalavakumar may publish in the future.

Co-authorship network of co-authors of T. Kathirvalavakumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kathirvalavakumar. A scholar is included among the top collaborators of T. Kathirvalavakumar 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 T. Kathirvalavakumar. T. Kathirvalavakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kathirvalavakumar, T., et al.. (2023). Genetic Algorithm Based Over-Sampling with DNN in Classifying the Imbalanced Data Distribution Problem. Indian Journal of Science and Technology. 16(8). 547–556. 2 indexed citations

Kathirvalavakumar, T., et al.. (2017). Efficient segmentation of printed tamil script into characters using projection and structure. 1–6. 2 indexed citations

Kathirvalavakumar, T., et al.. (2016). Improved Term Weighting Technique for Automatic Web Page Classification. 8(4). 63–76. 2 indexed citations

Prasath, Rajendra, Anil Kumar Vuppala, & T. Kathirvalavakumar. (2015). Mining Intelligence and Knowledge Exploration. Lecture notes in computer science. 6 indexed citations

Kathirvalavakumar, T., et al.. (2015). Ensemble Neural Network in Classifying Handwritten Arabic Numerals. 8(1). 1–8. 2 indexed citations

Prasath, Rajendra, Philip O’Reilly, & T. Kathirvalavakumar. (2014). Mining Intelligence and Knowledge Exploration: Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations

Prasath, Rajendra & T. Kathirvalavakumar. (2013). Mining Intelligence and Knowledge Exploration: First International Conference, MIKE 2013, Tamil Nadu, India, December 18-20, 2013, Proceedings. Springer eBooks. 1 indexed citations

Prasath, Rajendra, Anil Kumar Vuppala, & T. Kathirvalavakumar. (2013). Proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration - Volume 8284. 1 indexed citations

Kathirvalavakumar, T., et al.. (2013). Face Recognition Based on Wavelet Packet Coefficients and Radial Basis Function Neural Networks. 5(2). 115–122. 5 indexed citations

10.

Kathirvalavakumar, T., et al.. (2013). Features Reduction using Wavelet and Discriminative Common Vector and Recognizing Faces using RBF. International Journal of Computer Applications. 74(5). 40–46. 2 indexed citations

11.

Augasta, M. Gethsiyal & T. Kathirvalavakumar. (2013). Pruning algorithms of neural networks — a comparative study. Open Computer Science. 3(3). 74 indexed citations

12.

Kathirvalavakumar, T., et al.. (2012). Face Representation Using Combined Method of Gabor Filters, Wavelet Transformation and DCV and Recognition Using RBF. 4(4). 266–273. 7 indexed citations

13.

Kathirvalavakumar, T., et al.. (2011). A New Weight Initialization Method Using Cauchy’s Inequality Based on Sensitivity Analysis. 3(4). 242–248. 6 indexed citations

14.

Augasta, M. Gethsiyal & T. Kathirvalavakumar. (2011). A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems. Neural Processing Letters. 34(3). 241–258. 35 indexed citations

15.

Augasta, M. Gethsiyal & T. Kathirvalavakumar. (2011). Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems. Neural Processing Letters. 35(2). 131–150. 100 indexed citations

16.

Augasta, M. Gethsiyal & T. Kathirvalavakumar. (2011). A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier. Applied Soft Computing. 12(2). 619–625. 14 indexed citations

17.

Kathirvalavakumar, T., et al.. (2009). Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks. Neurocomputing. 72(16-18). 3915–3921. 32 indexed citations

18.

Kathirvalavakumar, T., et al.. (2003). Simultaneous perturbation for single hidden layer networks — cascade learning. Neurocomputing. 50. 193–209. 3 indexed citations

19.

Kathirvalavakumar, T., et al.. (2003). A New Learning Algorithm Using Simultaneous Perturbation with Weight Initialization. Neural Processing Letters. 17(1). 55–68. 4 indexed citations

20.

Kathirvalavakumar, T., et al.. (2002). Training feedforward networks using simultaneous perturbation with dynamic tunneling. Neurocomputing. 48(1-4). 691–704. 5 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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