Pradeep Chowriappa

541 total citations
14 papers, 383 citations indexed

About

Pradeep Chowriappa is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Pradeep Chowriappa has authored 14 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Pradeep Chowriappa's work include Retinal Imaging and Analysis (4 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Pradeep Chowriappa is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Machine Learning in Bioinformatics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Pradeep Chowriappa collaborates with scholars based in United States, Singapore and India. Pradeep Chowriappa's co-authors include Sumeet Dua, U. Rajendra Acharya, S. Vinitha Sree, Joel E.W. Koh, Kwan Hoong Ng, Shreya Bhat, Hamido Fujita, Kevin Noronha, Sulatha V. Bhandary and M. Muthu Rama Krishnan and has published in prestigious journals such as IEEE Access, Knowledge-Based Systems and Computers in Biology and Medicine.

In The Last Decade

Pradeep Chowriappa

14 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Chowriappa United States 8 263 183 156 84 31 14 383
Chun Cai China 5 267 1.0× 192 1.0× 106 0.7× 80 1.0× 68 2.2× 10 555
Xiaoxue Long China 5 226 0.9× 147 0.8× 96 0.6× 51 0.6× 150 4.8× 9 559
P. Aruna India 8 158 0.6× 87 0.5× 132 0.8× 75 0.9× 8 0.3× 35 311
A. Krishna Rao India 7 492 1.9× 348 1.9× 247 1.6× 65 0.8× 10 0.3× 9 593
David Dov Israel 10 158 0.6× 44 0.2× 42 0.3× 152 1.8× 28 0.9× 24 356
Filipe Soares Portugal 9 156 0.6× 96 0.5× 83 0.5× 55 0.7× 15 0.5× 26 269
Hussam Ali Pakistan 7 126 0.5× 44 0.2× 123 0.8× 46 0.5× 3 0.1× 8 415
Bin Xia China 8 113 0.4× 44 0.2× 111 0.7× 92 1.1× 28 0.9× 19 355
Debendra Muduli India 7 171 0.7× 24 0.1× 106 0.7× 250 3.0× 18 0.6× 44 396

Countries citing papers authored by Pradeep Chowriappa

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Chowriappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Chowriappa

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

All Works

14 of 14 papers shown
1.
Chowriappa, Pradeep, et al.. (2024). Overcoming Confounding Bias in Causal Discovery Using Minimum Redundancy and Maximum Relevancy Constraint. IEEE Access. 12. 33057–33068. 1 indexed citations
2.
Chowriappa, Pradeep, et al.. (2022). Effects of Selection Bias on Online Adversarial Aware SVM When Facing an Evasion Attack. 100–106. 1 indexed citations
3.
Chowriappa, Pradeep, et al.. (2019). Local Similarity Matrix for Cysteine Disulfide Connectivity Prediction from Protein Sequences. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(4). 1276–1289. 3 indexed citations
4.
Chowriappa, Pradeep, et al.. (2018). Residue Adjacency Matrix Based Feature Engineering for Predicting Cysteine Reactivity in Proteins. Computational and Structural Biotechnology Journal. 17. 90–100. 12 indexed citations
5.
Acharya, U. Rajendra, Pradeep Chowriappa, Sumeet Dua, et al.. (2018). Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework. International Journal of Fuzzy Systems. 20(4). 1385–1402. 15 indexed citations
6.
Acharya, U. Rajendra, Pradeep Chowriappa, Hamido Fujita, et al.. (2016). Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images. Knowledge-Based Systems. 107. 235–245. 63 indexed citations
7.
Chowriappa, Pradeep, et al.. (2016). A framework to identify influencers in signed social networks. 54. 2335–2340. 3 indexed citations
8.
Chowriappa, Pradeep, et al.. (2015). Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier. Medical & Biological Engineering & Computing. 53(12). 1345–1360. 34 indexed citations
9.
Chowriappa, Pradeep, Sumeet Dua, U. Rajendra Acharya, & M. Muthu Rama Krishnan. (2013). Ensemble selection for feature-based classification of diabetic maculopathy images. Computers in Biology and Medicine. 43(12). 2156–2162. 21 indexed citations
10.
Chowriappa, Pradeep. (2013). An Exploratory Analysis of Conservation of Co-Expressed Genes across Alzheimer's disease Progression. Journal of Computer Science & Systems Biology. 6(4). 4 indexed citations
11.
Dua, Sumeet & Pradeep Chowriappa. (2012). Data Mining for Bioinformatics. 12 indexed citations
12.
Dua, Sumeet, U. Rajendra Acharya, Pradeep Chowriappa, & S. Vinitha Sree. (2011). Wavelet-Based Energy Features for Glaucomatous Image Classification. IEEE Transactions on Information Technology in Biomedicine. 16(1). 80–87. 202 indexed citations
13.
Dua, Sumeet G., et al.. (2010). Region Quad-Tree Decomposition Based Edge Detection for Medical Images. PubMed. 4(1). 50–57. 5 indexed citations
14.
Chowriappa, Pradeep, et al.. (2008). Protein Structure Classification Based on Conserved Hydrophobic Residues. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(4). 639–651. 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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