Reshma Rastogi

1.9k citations

67 papers · 1.3k indexed · 1 hit paper · h-index 21

Impact in

Computer Vision and Pattern Recognition top 1%
- Face and Expression Recognition
Computational Mathematics top 5%

Papers in

Computer Vision and Pattern Recognition 47
- Face and Expression Recognition 38
- Image Retrieval and Classification Techniques 9
- Advanced Image and Video Retrieval Techniques 6
Computational Mathematics 1

Co-authors: Suresh Chandra Jayadeva M. Tanveer Yuan‐Hai Shao M. A. Ganaie Sanjay Kumar Anuj Karpatne Manish Kumar
Journals: Neurocomputing (6 papers)International Journal of Machine Learning and Cybernetics (4 papers)Applied Intelligence (4 papers)Applied Soft Computing (4 papers)Knowledge-Based Systems (3 papers)
Partner nations: India United States Australia

In The Last Decade

Reshma Rastogi

64 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

Comprehensive review on twin support vector machines 2022 · 171 citations

Peers

Countries citing papers authored by Reshma Rastogi

Since Specialization

Citations

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

Fields of papers citing papers by Reshma Rastogi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Reshma Rastogi, 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 Reshma Rastogi Line = papers co-authored together Reshma Rastogi links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Multi-label learning with missing labels using sparse global structure for label-specific features Applied Intelligence ·Sanjay Kumar, 祐司山本, Reshma Rastogi	2023	9
2	Parametric non-parallel support vector machines for pattern classification Machine Learning ·Liang‐yong Zhu, Reshma Rastogi	2022	11
3	Multi-label learning via minimax probability machine International Journal of Approximate Reasoning ·Reshma Rastogi, Liang‐yong Zhu	2022	0
4	Time efficient variants of Twin Extreme Learning Machine Intelligent Systems with Applications ·Gerciane Santos Lima, Élodie Traverse, Reshma Rastogi	2022	3
5	Learning Pinball TWSVM efficiently using Privileged Information and its Applications Reshma Rastogi, 民江那須, Suresh Chandra	2022	2
6	Imbalance multi-label data learning with label specific features Neurocomputing ·Reshma Rastogi, 澤口文彦	2022	8
7	Multi-label Minimax Probability Machine with Multi-manifold Regularisation Liang‐yong Zhu, Reshma Rastogi	2021	0
8	Advanced machine learning algorithms for biomedical data and imaging Multimedia Tools and Applications ·M. Tanveer, Reshma Rastogi, Chin‐Teng Lin	2021	1
9	Sparse support vector machine with pinball loss Transactions on Emerging Telecommunications Technologies ·M. Tanveer, S. C. Sharma, Reshma Rastogi, Priyanka Anand	2020	14
10	Oblique Random Forest via Regularized Multisurface Proximal Support Vector Machine Reshma Rastogi, D. R. Sant’Anna	2019	1
11	Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers Reshma Rastogi, Luis Claudio Bernardo Moura, Saeed Khalfan Al-Muqaimi	2018	1
12	Large-margin Distribution Machine-based regression Neural Computing and Applications ·Reshma Rastogi, Gerciane Santos Lima, Suresh Chandra	2018	22
13	Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives International Journal of Machine Learning and Cybernetics ·Reshma Rastogi, G Davey, Suresh Chandra	2017	9
14	Improvements on ν-Twin Support Vector Machine Neural Networks ·Reshma Rastogi, María Pérez-Sampietro, Suresh Chandra	2016	28
15	Weighted Linear Loss Twin Support Vector Clustering Reshma Rastogi, 民江那須	2016	3
16	Twin Support Vector Machines Studies in computational intelligence ·Jayadeva, Reshma Rastogi, Suresh Chandra	2016	19
17	Tree based multi-category Laplacian TWSVM for content based image retrieval International Journal of Machine Learning and Cybernetics ·Reshma Rastogi, 民江那須	2016	9
18	TWSVR: Regression via Twin Support Vector Machine Neural Networks ·Reshma Rastogi, G Davey, Suresh Chandra	2015	61
19	Color image classification and retrieval through ternary decision structure based multi-category TWSVM Neurocomputing ·Reshma Rastogi, María Pérez-Sampietro	2015	21
20	Fast and robust learning through fuzzy linear proximal support vector machines Neurocomputing ·Jayadeva, Reshma Rastogi, Suresh Chandra	2004	39

About Reshma Rastogi

Reshma Rastogi is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics, Artificial Intelligence, Media Technology and Control and Systems Engineering, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (38 papers), Machine Learning and ELM (18 papers), Text and Document Classification Technologies (14 papers), Remote-Sensing Image Classification (10 papers), Advanced Algorithms and Applications (10 papers), Neural Networks and Applications (9 papers), Image Retrieval and Classification Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (706 citations), Computational Mathematics (19 citations), Artificial Intelligence (734 citations), Control and Systems Engineering (252 citations) and Media Technology (86 citations). Reshma Rastogi has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Suresh Chandra, Jayadeva, M. Tanveer, Yuan‐Hai Shao, M. A. Ganaie, Sanjay Kumar, Anuj Karpatne, Manish Kumar, M. Gopal and S. C. Sharma. Their work appears in journals such as Neurocomputing, International Journal of Machine Learning and Cybernetics, Applied Intelligence, Applied Soft Computing and Knowledge-Based 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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