Deepika Ghai
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
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- Brain Tumor Detection and Classification
Papers in
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- Handwritten Text Recognition Techniques 6
- Image Retrieval and Classification Techniques 6
- Advanced Steganography and Watermarking Techniques 3
- Co-authors
- Sandeep Kumar (9 shared papers)Shilpa Rani (5 shared papers)Prashant Kumar Shukla (1 shared paper)Piyush Kumar Shukla (1 shared paper)Priti Maheshwary (1 shared paper)Jasminder Kaur Sandhu (1 shared paper)Arpit Jain (2 shared papers)Hemant Kumar Gianey (1 shared paper)
In The Last Decade
Deepika Ghai
36 papers receiving 515 citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 159
- Neurology 48
- Health Informatics 8
- Health Information Management 23
- Media Technology 44
Countries citing papers authored by Deepika Ghai
This map shows the geographic impact of Deepika Ghai'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 Deepika Ghai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Ghai more than expected).
Fields of papers citing papers by Deepika Ghai
This network shows the impact of papers produced by Deepika Ghai. 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 Deepika Ghai. The network helps show where Deepika Ghai may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Ghai, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 150 | |
| 2 | 2022 | 71 | |
| 3 | 2022 | 49 | |
| 4 | 2021 | 44 | |
| 5 | 2020 | 41 | |
| 6 | 2024 | 30 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2013 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 6 | |
| 17 | A REVIEW ON CLASSIFICATION OF LAND USE/LAND COVER CHANGE ASSESSMENT BASED ON NORMALIZED DIFFERENCE VEGETATION INDEX - | 2020 | 6 |
| 18 | 2021 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Deepika Ghai
Deepika Ghai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 47 papers that have together received 543 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), COVID-19 diagnosis using AI (5 papers), Remote Sensing in Agriculture (4 papers), Brain Tumor Detection and Classification (4 papers), Vehicle License Plate Recognition (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Neurology (48 citations), Health Informatics (8 citations), Health Information Management (23 citations) and Media Technology (44 citations). Deepika Ghai has collaborated with scholars based in India, Hungary and Indonesia. Frequent co-authors include Sandeep Kumar, Shilpa Rani, Prashant Kumar Shukla, Piyush Kumar Shukla, Priti Maheshwary, Jasminder Kaur Sandhu, Arpit Jain, Hemant Kumar Gianey, Amal H. Alharbi and Mohammad Aman Ullah. Their work appears in journals such as Multimedia Tools and Applications, Wireless Personal Communications, Sustainability, Computational Intelligence and Neuroscience and International Journal of Computational Intelligence 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.