Ranpreet Kaur
Impact in
-
- Cutaneous Melanoma Detection and Management
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
- Oncology 15
- Cutaneous Melanoma Detection and Management 15
-
- AI in cancer detection 12
- Imbalanced Data Classification Techniques 1
- Co-authors
- Hamid GholamHosseini (13 shared papers)Roopak Sinha (6 shared papers)María Lindén (3 shared papers)Shereen Afifi (9 shared papers)Mirza Mansoor Baig (1 shared paper)Ahmad Aly (1 shared paper)Omar Azzam (1 shared paper)Ehsan Ullah (2 shared papers)
- Journals
- Sensors (2 papers)International Journal of Imaging Systems and Technology (1 paper)Biomedical Signal Processing and Control (1 paper)BMC Medical Imaging (1 paper)PubMed (4 papers)
- Partner nations
- New ZealandEgyptSweden
In The Last Decade
Ranpreet Kaur
18 papers receiving 239 citations
Peers
Comparison fields: 5 of 47
- Oncology 196
- Artificial Intelligence 141
- Biophysics 19
- Dermatology 18
- Epidemiology 62
Countries citing papers authored by Ranpreet Kaur
This map shows the geographic impact of Ranpreet 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 Ranpreet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranpreet Kaur more than expected).
Fields of papers citing papers by Ranpreet Kaur
This network shows the impact of papers produced by Ranpreet 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 Ranpreet Kaur. The network helps show where Ranpreet Kaur may publish in the future.
Co-authors
The 8 scholars most cited alongside Ranpreet 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 105 | |
| 2 | 2022 | 62 | |
| 3 | 2020 | 14 | |
| 4 | A Survey on Ensemble Model For Loan Prediction | 2016 | 13 |
| 5 | 2022 | 12 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2025 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Ranpreet Kaur
Ranpreet Kaur is a scholar working on Oncology, Artificial Intelligence, Epidemiology, Biophysics and Biomedical Engineering, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (15 papers), AI in cancer detection (12 papers), Nonmelanoma Skin Cancer Studies (5 papers), Cell Image Analysis Techniques (4 papers), Optical Coherence Tomography Applications (2 papers), Imbalanced Data Classification Techniques (1 paper), Banking stability, regulation, efficiency (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Oncology (196 citations), Artificial Intelligence (141 citations), Biophysics (19 citations), Dermatology (18 citations) and Epidemiology (62 citations). Ranpreet Kaur has collaborated with scholars based in New Zealand, Egypt and Sweden. Frequent co-authors include Hamid GholamHosseini, Roopak Sinha, María Lindén, Shereen Afifi, Mirza Mansoor Baig, Ahmad Aly, Omar Azzam and Ehsan Ullah. Their work appears in journals such as Sensors, International Journal of Imaging Systems and Technology, Biomedical Signal Processing and Control, BMC Medical Imaging and PubMed.
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.