Jayadeva

3.8k citations

90 papers · 3.0k · 1 hit paper · h-index 21

Impact in

Computer Vision and Pattern Recognition top 1%
- Face and Expression Recognition
Artificial Intelligence top 1%
- Machine Learning and ELM
- Neural Networks and Applications
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques

Papers in

Artificial Intelligence 52
- Neural Networks and Applications 19
- Machine Learning and ELM 11
- Metaheuristic Optimization Algorithms Research 8
- Machine Learning and Algorithms 8
- Fuzzy Logic and Control Systems 6
Computer Vision and Pattern Recognition 33
- Face and Expression Recognition 28

Co-authors: Suresh Chandra (31 shared papers)Dinesh Kumar (3 shared papers)Ganesh R. Naik (2 shared papers)N. M. Anoop Krishnan (9 shared papers)Sumit Soman (18 shared papers)Debarka Sengupta (6 shared papers)R. Chattopadhyay (3 shared papers)Anirban Guha (3 shared papers)
Journals: Neurocomputing (10 papers)Swarm and Evolutionary Computation (2 papers)Nature Communications (2 papers)Information Sciences (2 papers)Journal of the Textile Institute (2 papers)
Partner nations: India Australia United States

In The Last Decade

Jayadeva

87 papers receiving 2.9k citations

Jayadeva's Hit Papers

align trajectories log scale

Twin Support Vector Machines for Pattern Classification 2007 · 1.5k citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2007 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Jayadeva

Since Specialization

Citations

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

Fields of papers citing papers by Jayadeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jayadeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jayadeva Line = papers co-authored together Jayadeva links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Twin Support Vector Machines for Pattern Classification IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jayadeva, (unknown), Suresh Chandra Hit paper breakdown →	2007	1494
2	Twin SVM for Gesture Classification Using the Surface Electromyogram IEEE Transactions on Information Technology in Biomedicine ·Ganesh R. Naik, Dinesh Kumar, Jayadeva	2009	119
3	Optimal kernel selection in twin support vector machines Optimization Letters ·(unknown), Jayadeva, Suresh Chandra	2008	101
4	Discovery of rare cells from voluminous single cell expression data Nature Communications ·Aashi Jindal, Prashant Gupta, Jayadeva, Debarka Sengupta	2018	93
5	Regularized least squares fuzzy support vector regression for financial time series forecasting Expert Systems with Applications ·(unknown), Jayadeva, Suresh Chandra	2007	91
6	Gene expression based inference of cancer drug sensitivity Nature Communications ·Smriti Chawla, Anja Rockstroh, Melanie Lehman, Ellca Ratther, Atishay Jain, Anuneet Anand, Apoorva Gupta, N Bhattacharya, Sarita Poonia, Priyadarshini Rai, Nirjhar Das, Angshul Majumdar, Jayadeva, Gaurav Ahuja, Brett G. Hollier, Colleen C. Nelson, Debarka Sengupta	2022	90
7	Deep learning aided rational design of oxide glasses Materials Horizons ·(unknown), Karthikeya H. Sridhara, Suresh Bishnoi, Hargun Singh Grover, Mathieu Bauchy, Jayadeva, Hariprasad Kodamana, N. M. Anoop Krishnan	2020	80
8	Predicting Yarn Tenacity: A Comparison of Mechanistic, Statistical, and Neural Network Models Journal of the Textile Institute ·Anirban Guha, R. Chattopadhyay, Jayadeva	2001	66
9	Fast and robust learning through fuzzy linear proximal support vector machines Neurocomputing ·Jayadeva, (unknown), Suresh Chandra	2004	44
10	MaScQA: investigating materials science knowledge of large language models Digital Discovery ·Mohd Faiz Mohammad Zaki, Jayadeva, Mausam Mausam, N. M. Anoop Krishnan	2023	35
11	Reduced twin support vector regression Neurocomputing ·Mittul Singh, Jivitej S. Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra	2010	33
12	Interpreting the optical properties of oxide glasses with machine learning and Shapely additive explanations Journal of the American Ceramic Society ·Mohd Faiz Mohammad Zaki, Vineeth Venugopal, Ravinder Bhattoo, Suresh Bishnoi, Sourabh Kumar Singh, Amarnath Reddy Allu, Jayadeva, N. M. Anoop Krishnan	2022	31
13	Learning a hyperplane classifier by minimizing an exact bound on the VC dimension1 Neurocomputing ·Jayadeva	2014	30
14	Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives Information Sciences ·Jayadeva, (unknown), Suresh Chandra	2008	29
15	Fuzzy multi-category proximal support vector classification via generalized eigenvalues Soft Computing ·Jayadeva, (unknown), Suresh Chandra	2006	27
16	Fuzzy Twin Support Vector Machines for Pattern Classification (unknown), Jayadeva, Suresh Chandra	2008	27
17	SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control IEEE Transactions on Neural Networks ·Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra	2007	26
18	Twin Neural Networks for the classification of large unbalanced datasets Neurocomputing ·Jayadeva, Himanshu Pant, Mayank Sharma, Sumit Soman	2019	25
19	Extracting processing and testing parameters from materials science literature for improved property prediction of glasses Chemical Engineering and Processing - Process Intensification ·Mohd Faiz Mohammad Zaki, Jayadeva, N. M. Anoop Krishnan	2021	25
20	Twin Support Vector Machines: Models, Extensions and Applications Jayadeva, Reshma Rastogi, Suresh Chandra	2016	21

About Jayadeva

Jayadeva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Control and Systems Engineering, having authored 90 papers that have together received 3.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (28 papers), Neural Networks and Applications (19 papers), Machine Learning and ELM (11 papers), Blind Source Separation Techniques (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Machine Learning and Algorithms (8 papers), Advanced Algorithms and Applications (6 papers) and Fuzzy Logic and Control Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.4k citations), Computational Mathematics (16 citations), Control and Systems Engineering (578 citations) and Media Technology (173 citations). Jayadeva has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Suresh Chandra, Dinesh Kumar, Ganesh R. Naik, N. M. Anoop Krishnan, Sumit Soman, Debarka Sengupta, R. Chattopadhyay, Anirban Guha, Mohd Faiz Mohammad Zaki and Himanshu Pant. Their work appears in journals such as Neurocomputing, Swarm and Evolutionary Computation, Nature Communications, Information Sciences and Journal of the Textile Institute.

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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Jayadeva's Hit Papers

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About Jayadeva

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