Richa Gupta
Impact in
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- Handwritten Text Recognition Techniques
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 8
- Advanced Neural Network Applications 5
- Image Processing and 3D Reconstruction 5
- Chaos-based Image/Signal Encryption 4
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- AI in cancer detection 4
- Co-authors
- Vinay Kukreja (8 shared papers)Shiva Mehta (6 shared papers)Aakash Bansal (1 shared paper)Priti Sehgal (3 shared papers)Rajiv Saxena (4 shared papers)Amit M. Joshi (1 shared paper)Geetanjali Sharma (1 shared paper)Linga Reddy Cenkeramaddi (1 shared paper)
- Journals
- Journal of the Audio Engineering Society (1 paper)European Neuropsychopharmacology (1 paper)Sadhana (1 paper)Health Information Science and Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Richa Gupta
66 papers receiving 492 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 115
- Media Technology 32
- Signal Processing 36
- Human-Computer Interaction 16
- Artificial Intelligence 93
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 2023 | 57 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 37 | |
| 5 | 2023 | 34 | |
| 6 | 1996 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2010 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Richa Gupta
Richa Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Information Systems and Signal Processing, having authored 87 papers that have together received 527 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (9 papers), Smart Agriculture and AI (9 papers), Handwritten Text Recognition Techniques (8 papers), Advanced Neural Network Applications (5 papers), Image Processing and 3D Reconstruction (5 papers), Biometric Identification and Security (4 papers), Chaos-based Image/Signal Encryption (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Media Technology (32 citations), Signal Processing (36 citations), Human-Computer Interaction (16 citations) and Artificial Intelligence (93 citations). Richa Gupta has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Vinay Kukreja, Shiva Mehta, Aakash Bansal, Priti Sehgal, Rajiv Saxena, Amit M. Joshi, Geetanjali Sharma, Linga Reddy Cenkeramaddi, K. C. Gupta and Amit Gupta. Their work appears in journals such as Journal of the Audio Engineering Society, European Neuropsychopharmacology, Sadhana, Health Information Science and Systems and IEEE Access.
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.