Richa Gupta
Impact in
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- Handwritten Text Recognition Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Handwritten Text Recognition Techniques 8
- Chaos-based Image/Signal Encryption 6
- Image Processing and 3D Reconstruction 5
- Advanced Neural Network Applications 5
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- Biometric Identification and Security 8
- Co-authors
- Vinay Kukreja (8 shared papers)Shiva Mehta (6 shared papers)Aakash Bansal (1 shared paper)Priti Sehgal (7 shared papers)Rajiv Saxena (4 shared papers)Linga Reddy Cenkeramaddi (1 shared paper)Amit M. Joshi (1 shared paper)Geetanjali Sharma (1 shared paper)
- Journals
- Sadhana (1 paper)Journal of the Audio Engineering Society (1 paper)Pattern Analysis and Applications (1 paper)IEEE Access (1 paper)European Neuropsychopharmacology (1 paper)
- Partner nations
- IndiaUnited StatesCyprus
In The Last Decade
Richa Gupta
76 papers receiving 595 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 145
- Signal Processing 51
- Media Technology 38
- Information Systems 87
- Artificial Intelligence 105
Countries citing papers authored by Richa Gupta
This map shows the geographic impact of Richa Gupta'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 Richa Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richa Gupta more than expected).
Fields of papers citing papers by Richa Gupta
This network shows the impact of papers produced by Richa Gupta. 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 Richa Gupta. The network helps show where Richa Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Richa Gupta, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2023 | 64 | |
| 3 | 2023 | 46 | |
| 4 | 2023 | 44 | |
| 5 | 2023 | 39 | |
| 6 | 2023 | 18 | |
| 7 | 1996 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2010 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 9 |
About Richa Gupta
Richa Gupta is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Information Systems and Artificial Intelligence, having authored 101 papers that have together received 632 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Vehicle License Plate Recognition (9 papers), Handwritten Text Recognition Techniques (8 papers), Biometric Identification and Security (8 papers), Chaos-based Image/Signal Encryption (6 papers), Image Processing and 3D Reconstruction (5 papers), Advanced Neural Network Applications (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Signal Processing (51 citations), Media Technology (38 citations), Information Systems (87 citations) and Artificial Intelligence (105 citations). Richa Gupta has collaborated with scholars based in India, United States and Cyprus. Frequent co-authors include Vinay Kukreja, Shiva Mehta, Aakash Bansal, Priti Sehgal, Rajiv Saxena, Linga Reddy Cenkeramaddi, Amit M. Joshi, Geetanjali Sharma, K. C. Gupta and Amit Kr. Gupta. Their work appears in journals such as Sadhana, Journal of the Audio Engineering Society, Pattern Analysis and Applications, IEEE Access and European Neuropsychopharmacology.
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.