C.A. Murthy

4.7k total citations · 1 hit paper
104 papers, 3.1k citations indexed

About

C.A. Murthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, C.A. Murthy has authored 104 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 45 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in C.A. Murthy's work include Neural Networks and Applications (22 papers), Image Retrieval and Classification Techniques (18 papers) and Face and Expression Recognition (16 papers). C.A. Murthy is often cited by papers focused on Neural Networks and Applications (22 papers), Image Retrieval and Classification Techniques (18 papers) and Face and Expression Recognition (16 papers). C.A. Murthy collaborates with scholars based in India, United States and Japan. C.A. Murthy's co-authors include Sankar K. Pal, Pabitra Mitra, Sarif Kumar Naik, Nirmalya Chowdhury, Dinabandhu Bhandari, Tanmay Basu, Deba Prasad Mandal, Sanghamitra Bandyopadhyay, D. Chaudhuri and B.B. Chaudhuri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

C.A. Murthy

97 papers receiving 2.9k citations

Hit Papers

Unsupervised feature selection using feature similarity 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.A. Murthy India 25 1.6k 1.4k 384 326 263 104 3.1k
Ethem Alpaydın Türkiye 24 1.6k 1.0× 1.3k 0.9× 263 0.7× 180 0.6× 154 0.6× 80 3.1k
Hichem Frigui United States 27 1.2k 0.7× 1.0k 0.8× 371 1.0× 202 0.6× 148 0.6× 168 2.9k
Shiping Wang China 33 1.9k 1.2× 1.7k 1.2× 225 0.6× 355 1.1× 379 1.4× 193 3.7k
豊 松尾 3 1.7k 1.1× 1.5k 1.1× 140 0.4× 231 0.7× 153 0.6× 5 3.6k
Quanming Yao China 26 2.5k 1.5× 1.5k 1.1× 431 1.1× 624 1.9× 165 0.6× 88 4.3k
Sebastian Nowozin United Kingdom 34 1.7k 1.1× 2.7k 2.0× 435 1.1× 239 0.7× 194 0.7× 77 4.4k
Belur V. Dasarathy United States 13 1.1k 0.7× 1.0k 0.8× 641 1.7× 226 0.7× 104 0.4× 106 2.8k
Hau−San Wong Hong Kong 37 2.4k 1.5× 2.2k 1.6× 309 0.8× 201 0.6× 169 0.6× 227 4.4k
Thomas P. Minka United States 24 1.8k 1.1× 2.4k 1.7× 336 0.9× 443 1.4× 85 0.3× 40 4.9k
Barbara Hammer Germany 35 3.0k 1.9× 1.5k 1.1× 305 0.8× 158 0.5× 176 0.7× 347 4.9k

Countries citing papers authored by C.A. Murthy

Since Specialization
Citations

This map shows the geographic impact of C.A. Murthy'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 C.A. Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.A. Murthy more than expected).

Fields of papers citing papers by C.A. Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A. Murthy. 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 C.A. Murthy. The network helps show where C.A. Murthy may publish in the future.

Co-authorship network of co-authors of C.A. Murthy

This figure shows the co-authorship network connecting the top 25 collaborators of C.A. Murthy. A scholar is included among the top collaborators of C.A. Murthy 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 C.A. Murthy. C.A. Murthy 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.
Ghosh, Anil K., et al.. (2020). Some New Copula Based Distribution-free Tests of Independence among Several Random Variables. Sankhya A. 84(2). 556–596. 9 indexed citations
2.
Ghosh, Susmita, et al.. (2018). Proprties of biclustering algorithms and a novel biclustering technique based on relative density.. arXiv (Cornell University). 1 indexed citations
3.
Chakraborty, Tanujit, Ashis Kumar Chakraborty, & C.A. Murthy. (2018). A Nonparametric Ensemble Binary Classifier and its Statistical Properties. arXiv (Cornell University). 9 indexed citations
4.
Murthy, C.A., et al.. (2014). Fitting truncated geometric distributions in large scale real world networks. Theoretical Computer Science. 551. 22–38. 19 indexed citations
5.
Pal, Sankar K., et al.. (2014). Centrality Measures, Upper Bound, and Influence Maximization in Large Scale Directed Social Networks. Fundamenta Informaticae. 130(3). 317–342. 38 indexed citations
6.
Mitra, Sushmita, et al.. (2012). Extracting Gene-Gene Interactions Through Curve Fitting. IEEE Transactions on NanoBioscience. 11(4). 402–409. 1 indexed citations
7.
Mitra, Suman K., Malay K. Kundu, C.A. Murthy, Bhargab B. Bhattacharya, & Tinku Acharya. (2008). A New Probabilistic Approach for Fractal Based Image Compression. Fundamenta Informaticae. 87(3-4). 417–433. 6 indexed citations
8.
Naik, Sarif Kumar & C.A. Murthy. (2007). Distinct Multicolored Region Descriptors for Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(7). 1291–1296. 10 indexed citations
9.
Bhattacharya, Bhargab B., et al.. (2005). Euler Vector for Search and Retrieval of Gray-Tone Images. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 35(4). 801–812. 14 indexed citations
10.
Naik, Sarif Kumar & C.A. Murthy. (2004). Hough Transform for Region Extraction in Color Images.. 252–257.
11.
Mitra, Pabitra, C.A. Murthy, & Sankar K. Pal. (2004). A probabilistic active support vector learning algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(3). 413–418. 75 indexed citations
12.
Murthy, C.A., et al.. (2004). Thresholding in Edge Detection: A Statistical Approach. IEEE Transactions on Image Processing. 13(7). 927–936. 90 indexed citations
13.
Sur‐Kolay, Susmita, et al.. (2003). Flavours of Traveling Salesman Problem in VLSI Design.. Indian International Conference on Artificial Intelligence. 11(6). 656–667. 5 indexed citations
14.
Naik, Sarif Kumar & C.A. Murthy. (2003). Hue-preserving color image enhancement without gamut problem. IEEE Transactions on Image Processing. 12(12). 1591–1598. 227 indexed citations
15.
Bishnu, Arijit, Partha Bhowmick, Bhargab B. Bhattacharya, et al.. (2002). Combinatorial Classification of Pixels for Ridge Extraction in a Gray-Scale Fingerprint Image.. 5 indexed citations
16.
Mitra, Sushmita, C.A. Murthy, Malay K. Kundu, & Bhargab B. Bhattacharya. (2002). Fractal image compression using iterated function system with probabilities. 191–195. 4 indexed citations
17.
Murthy, C.A., et al.. (2000). VGA-Classifier: design and applications. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 30(6). 890–895. 21 indexed citations
18.
Mitra, Suman K. & C.A. Murthy. (2000). Mathematical framework to show the existence of attractor of partitioned iterative function systems. Pattern Recognition. 33(5). 859–869. 1 indexed citations
19.
Mitra, Suman K., C.A. Murthy, & Malay K. Kundu. (1998). A Study on Partitioned Iterative Function Systems for Image Compression. Fundamenta Informaticae. 34(4). 413–428. 4 indexed citations
20.
Basak, Jayanta Kumar, C.A. Murthy, Santanu Chaudhury, & D. Dutta Majumder. (1993). A connectionist model for category perception: theory and implementation. IEEE Transactions on Neural Networks. 4(2). 257–269. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026