Manjit Kaur
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Chaos-based Image/Signal Encryption 16
- Advanced Steganography and Watermarking Techniques 12
- Digital Media Forensic Detection 5
- Co-authors
- Dilbag SinghVijay KumarHeung-No LeeVaishaliNeha GianchandaniSandeep JoshiNaresh KumarSatpal Singh Kushwaha
- Journals
- IEEE Access (14 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Multimedia Tools and Applications (3 papers)Infection and Immunity (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Manjit Kaur
79 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Health Informatics 202
- Radiology, Nuclear Medicine and Imaging 1.2k
- Computer Vision and Pattern Recognition 898
- Artificial Intelligence 1.2k
- Health Information Management 109
Countries citing papers authored by Manjit Kaur
This map shows the geographic impact of Manjit 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 Manjit Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manjit Kaur more than expected).
Fields of papers citing papers by Manjit Kaur
This network shows the impact of papers produced by Manjit 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 Manjit Kaur. The network helps show where Manjit Kaur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manjit 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 | 2025 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 30 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 35 | |
| 7 | Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays Hit paper breakdown → | 2020 | 252 |
| 8 | 2020 | 0 | |
| 9 | Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks Hit paper breakdown → | 2020 | 452 |
| 10 | 2019 | 1 | |
| 11 | 2018 | 0 | |
| 12 | 2007 | 29 | |
| 13 | 2004 | 75 | |
| 14 | 2004 | 1 | |
| 15 | 2003 | 13 | |
| 16 | 2003 | 7 | |
| 17 | 2002 | 14 | |
| 18 | 2002 | 19 | |
| 19 | 2002 | 65 | |
| 20 | 1998 | 8 |
About Manjit Kaur
Manjit Kaur is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Artificial Intelligence, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (16 papers), Advanced Steganography and Watermarking Techniques (12 papers), COVID-19 diagnosis using AI (9 papers), Molecular Biology Techniques and Applications (5 papers), Mosquito-borne diseases and control (5 papers), Digital Media Forensic Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (202 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Computer Vision and Pattern Recognition (898 citations), Artificial Intelligence (1.2k citations) and Health Information Management (109 citations). Manjit Kaur has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Dilbag Singh, Vijay Kumar, Heung-No Lee, Vaishali, Neha Gianchandani, Sandeep Joshi, Naresh Kumar, Satpal Singh Kushwaha, Nripendra Narayan Das and Kehui Sun. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Multimedia Tools and Applications, Infection and Immunity and IEEE Journal of Biomedical and Health Informatics.
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.