Reshma Rastogi
Impact in
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- Face and Expression Recognition
- Artificial Intelligence top 2%
- Machine Learning and ELM
- Text and Document Classification Technologies
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
Papers in
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- Face and Expression Recognition 47
- Image Retrieval and Classification Techniques 10
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- Machine Learning and ELM 20
- Text and Document Classification Technologies 18
- Neural Networks and Applications 12
- Co-authors
- Suresh Chandra (43 shared papers)Jayadeva (17 shared papers)M. Tanveer (3 shared papers)Yuan‐Hai Shao (1 shared paper)M. A. Ganaie (1 shared paper)Sanjay Kumar (4 shared papers)Ankit Kumar (2 shared papers)S. C. Sharma (1 shared paper)
- Journals
- Neurocomputing (6 papers)Applied Intelligence (4 papers)Annals of Operations Research (3 papers)Knowledge-Based Systems (3 papers)Neural Processing Letters (3 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Reshma Rastogi
77 papers receiving 1.3k citations
Reshma Rastogi's Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 698
- Artificial Intelligence 746
- Computational Mathematics 7
- Control and Systems Engineering 257
- Media Technology 87
Countries citing papers authored by Reshma Rastogi
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
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-authors
The 11 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.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive review on twin support vector machines Hit paper breakdown → | 2022 | 190 |
| 2 | 2008 | 100 | |
| 3 | 2007 | 91 | |
| 4 | 2015 | 65 | |
| 5 | 2020 | 43 | |
| 6 | 2004 | 43 | |
| 7 | 2019 | 40 | |
| 8 | 2007 | 36 | |
| 9 | 2018 | 34 | |
| 10 | 2017 | 32 | |
| 11 | 2022 | 32 | |
| 12 | 2016 | 29 | |
| 13 | 2016 | 28 | |
| 14 | 2008 | 28 | |
| 15 | 2006 | 27 | |
| 16 | 2008 | 27 | |
| 17 | 2017 | 25 | |
| 18 | 2015 | 23 | |
| 19 | 2018 | 22 | |
| 20 | Twin Support Vector Machines: Models, Extensions and Applications | 2016 | 21 |
About Reshma Rastogi
Reshma Rastogi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Media Technology and Molecular Biology, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (47 papers), Machine Learning and ELM (20 papers), Text and Document Classification Technologies (18 papers), Neural Networks and Applications (12 papers), Remote-Sensing Image Classification (11 papers), Advanced Algorithms and Applications (11 papers), Image Retrieval and Classification Techniques (10 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (698 citations), Artificial Intelligence (746 citations), Computational Mathematics (7 citations), Control and Systems Engineering (257 citations) and Media Technology (87 citations). Reshma Rastogi has collaborated with scholars based in India, United States and China. Frequent co-authors include Suresh Chandra, Jayadeva, M. Tanveer, Yuan‐Hai Shao, M. A. Ganaie, Sanjay Kumar, Ankit Kumar, S. C. Sharma, Priyanka Anand and Anuj Karpatne. Their work appears in journals such as Neurocomputing, Applied Intelligence, Annals of Operations Research, Knowledge-Based Systems and Neural Processing Letters.
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.