Pinki Roy
Impact in
- Health Informatics top 10%
Papers in
-
- Speech and Audio Processing 15
- Music and Audio Processing 8
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- Speech Recognition and Synthesis 9
- AI in cancer detection 9
- Cryptography and Data Security 5
- Co-authors
- Suyel Namasudra (9 shared papers)Arnab Kumar Mishra (15 shared papers)Sujit Kumar Das (14 shared papers)Sivaji Bandyopadhyay (9 shared papers)Balamurugan Balusamy (3 shared papers)Pandi Vijayakumar (2 shared papers)Pradip K. Das (4 shared papers)Saroj Kr. Biswas (1 shared paper)
In The Last Decade
Pinki Roy
48 papers receiving 955 citations
Peers
Comparison fields: 5 of 109
- Health Informatics 24
- Health Information Management 71
- Artificial Intelligence 518
- Radiology, Nuclear Medicine and Imaging 223
- Information Systems 235
Countries citing papers authored by Pinki Roy
This map shows the geographic impact of Pinki Roy'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 Pinki Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinki Roy more than expected).
Fields of papers citing papers by Pinki Roy
This network shows the impact of papers produced by Pinki Roy. 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 Pinki Roy. The network helps show where Pinki Roy may publish in the future.
Co-authors
The 18 scholars most cited alongside Pinki Roy, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2021 | 84 | |
| 3 | 2021 | 71 | |
| 4 | 2018 | 63 | |
| 5 | 2017 | 52 | |
| 6 | 2017 | 47 | |
| 7 | 2019 | 43 | |
| 8 | 2021 | 34 | |
| 9 | 2016 | 33 | |
| 10 | 2016 | 33 | |
| 11 | 2017 | 32 | |
| 12 | 2023 | 31 | |
| 13 | 2017 | 30 | |
| 14 | A New Table Based Protocol for Data Accessing in Cloud Computing. | 2017 | 29 |
| 15 | 2016 | 29 | |
| 16 | 2015 | 27 | |
| 17 | 2020 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2021 | 20 | |
| 20 | 2020 | 13 |
About Pinki Roy
Pinki Roy is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management and Information Systems, having authored 53 papers that have together received 991 indexed citations. Recurring topics across this work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (9 papers), AI in cancer detection (9 papers), Cloud Data Security Solutions (8 papers), Music and Audio Processing (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Health Informatics (24 citations), Health Information Management (71 citations), Artificial Intelligence (518 citations), Radiology, Nuclear Medicine and Imaging (223 citations) and Information Systems (235 citations). Pinki Roy has collaborated with scholars based in India, Indonesia and Lebanon. Frequent co-authors include Suyel Namasudra, Arnab Kumar Mishra, Sujit Kumar Das, Sivaji Bandyopadhyay, Balamurugan Balusamy, Pandi Vijayakumar, Pradip K. Das, Saroj Kr. Biswas, Manomita Chakraborty and Dalton Meitei Thounaojam. Their work appears in journals such as International Journal of Speech Technology, International Journal of Imaging Systems and Technology, Arabian Journal for Science and Engineering, Multimedia Tools and Applications and Journal of Organizational and End User Computing.
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.