Jayadeva

3.7k citations

76 papers · 2.6k · 1 hit paper · h-index 20

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 43
- Neural Networks and Applications 17
- Machine Learning and ELM 10
- Machine Learning and Algorithms 8
- Metaheuristic Optimization Algorithms Research 6
- Fuzzy Logic and Control Systems 5
Computer Vision and Pattern Recognition 23
- Face and Expression Recognition 19

Co-authors: Suresh Chandra (18 shared papers)Reshma Rastogi (7 shared papers)Dinesh Kumar (3 shared papers)Ganesh R. Naik (2 shared papers)N. M. Anoop Krishnan (9 shared papers)Debarka Sengupta (6 shared papers)Sumit Soman (17 shared papers)R. Chattopadhyay (3 shared papers)
Journals: Neurocomputing (10 papers)Information Sciences (2 papers)Nature Communications (2 papers)Journal of the Textile Institute (2 papers)IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)
Partner nations: India United States Australia

In The Last Decade

Jayadeva

70 papers receiving 2.6k citations

Jayadeva's Hit Papers

align trajectories log scale

Twin Support Vector Machines for Pattern Classification 2007 · 1.4k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

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 76 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	1383
2	Twin SVM for Gesture Classification Using the Surface Electromyogram IEEE Transactions on Information Technology in Biomedicine ·Ganesh R. Naik, Dinesh Kumar, Jayadeva	2009	112
3	Optimal kernel selection in twin support vector machines Optimization Letters ·Reshma Rastogi, Jayadeva, Suresh Chandra	2008	95
4	Discovery of rare cells from voluminous single cell expression data Nature Communications ·Aashi Jindal, Prashant Gupta, Jayadeva, Debarka Sengupta	2018	89
5	Regularized least squares fuzzy support vector regression for financial time series forecasting Expert Systems with Applications ·Reshma Rastogi, Jayadeva, Suresh Chandra	2007	85
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	84
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	70
8	Predicting Yarn Tenacity: A Comparison of Mechanistic, Statistical, and Neural Network Models Journal of the Textile Institute ·Anirban Guha, R. Chattopadhyay, Jayadeva	2001	56
9	Fast and robust learning through fuzzy linear proximal support vector machines Neurocomputing ·Jayadeva, Reshma Rastogi, Suresh Chandra	2004	39
10	MaScQA: investigating materials science knowledge of large language models Digital Discovery ·Mohd Zaki, Jayadeva, Mausam Mausam, N. M. Anoop Krishnan	2023	30
11	Interpreting the optical properties of oxide glasses with machine learning and Shapely additive explanations Journal of the American Ceramic Society ·Mohd Zaki, Vineeth Venugopal, Ravinder Bhattoo, Suresh Bishnoi, Sourabh Singh, Amarnath R. Allu, Jayadeva, N. M. Anoop Krishnan	2022	30
12	Reduced twin support vector regression Neurocomputing ·Mittul Singh, Jivitej S. Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra	2010	30
13	Fuzzy multi-category proximal support vector classification via generalized eigenvalues Soft Computing ·Jayadeva, Reshma Rastogi, Suresh Chandra	2006	27
14	Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives Information Sciences ·Jayadeva, Reshma Rastogi, Suresh Chandra	2008	26
15	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	25
16	Learning a hyperplane classifier by minimizing an exact bound on the VC dimension1 Neurocomputing ·Jayadeva	2014	24
17	Twin Neural Networks for the classification of large unbalanced datasets Neurocomputing ·Jayadeva, Himanshu Pant, Mayank Sharma, Sumit Soman	2019	22
18	Extracting processing and testing parameters from materials science literature for improved property prediction of glasses Chemical Engineering and Processing - Process Intensification ·Mohd Zaki, Jayadeva, N. M. Anoop Krishnan	2021	22
19	A Neural Network With<tex>$O(N)$</tex>Neurons for Ranking<tex>$N$</tex>Numbers in<tex>$O(1/N)$</tex>Time IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ·Jayadeva, (unknown)	2004	21
20	Twin Support Vector Machines: Models, Extensions and Applications Jayadeva, Reshma Rastogi, Suresh Chandra	2016	20

About Jayadeva

Jayadeva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Biomedical Engineering, having authored 76 papers that have together received 2.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (19 papers), Neural Networks and Applications (17 papers), Machine Learning and ELM (10 papers), Machine Learning and Algorithms (8 papers), Blind Source Separation Techniques (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Glass properties and applications (5 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.2k citations), Computational Mathematics (14 citations), Control and Systems Engineering (515 citations) and Media Technology (154 citations). Jayadeva has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Suresh Chandra, Reshma Rastogi, Dinesh Kumar, Ganesh R. Naik, N. M. Anoop Krishnan, Debarka Sengupta, Sumit Soman, R. Chattopadhyay, Anirban Guha and Mohd Zaki. Their work appears in journals such as Neurocomputing, Information Sciences, Nature Communications, Journal of the Textile Institute and IEEE Transactions on Systems Man and Cybernetics Systems.

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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