Prabhpreet Kaur
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Image Enhancement Techniques 6
- Digital Imaging for Blood Diseases 4
- Image and Signal Denoising Methods 4
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- AI in cancer detection 8
- Co-authors
- Parminder Kaur (5 shared papers)Gurvinder Singh (5 shared papers)Jaspreet Kaur (7 shared papers)Madhusudan Astekar (5 shared papers)Amanjot Kaur (2 shared papers)Vinay Kumar (1 shared paper)Navneet Singh (1 shared paper)Karandeep Singh Arora (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (2 papers)Computers in Biology and Medicine (2 papers)The Computer Journal (1 paper)Egyptian Informatics Journal (1 paper)Diagnostic Cytopathology (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Prabhpreet Kaur
39 papers receiving 478 citations
Peers
Comparison fields: 5 of 89
- Neurology 75
- Health Information Management 41
- Radiology, Nuclear Medicine and Imaging 179
- Computer Vision and Pattern Recognition 151
- Media Technology 60
Countries citing papers authored by Prabhpreet Kaur
This map shows the geographic impact of Prabhpreet Kaur'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 Prabhpreet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhpreet Kaur more than expected).
Fields of papers citing papers by Prabhpreet Kaur
This network shows the impact of papers produced by Prabhpreet Kaur. 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 Prabhpreet Kaur. The network helps show where Prabhpreet Kaur may publish in the future.
Co-authors
The 23 scholars most cited alongside Prabhpreet Kaur, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2017 | 84 | |
| 3 | 2019 | 50 | |
| 4 | 2019 | 49 | |
| 5 | 2022 | 23 | |
| 6 | 2016 | 21 | |
| 7 | 2015 | 21 | |
| 8 | 2015 | 19 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2025 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2016 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2021 | 5 |
About Prabhpreet Kaur
Prabhpreet Kaur is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Computer Networks and Communications, having authored 44 papers that have together received 517 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Retinal Imaging and Analysis (6 papers), Image Enhancement Techniques (6 papers), Digital Imaging for Blood Diseases (4 papers), Brain Tumor Detection and Classification (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Neurology (75 citations), Health Information Management (41 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Computer Vision and Pattern Recognition (151 citations) and Media Technology (60 citations). Prabhpreet Kaur has collaborated with scholars based in India and United States. Frequent co-authors include Parminder Kaur, Gurvinder Singh, Jaspreet Kaur, Madhusudan Astekar, Amanjot Kaur, Vinay Kumar, Navneet Singh, Karandeep Singh Arora, Simranpreet Kaur and A Tewari. Their work appears in journals such as Biomedical Signal Processing and Control, Computers in Biology and Medicine, The Computer Journal, Egyptian Informatics Journal and Diagnostic Cytopathology.
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.