Manjit Kaur

86 papers receiving 2.1k citations

Peers

Manjit Kaur
Comparison fields: 5 of 170
  • Health Informatics 55
  • Computer Vision and Pattern Recognition 600
  • Hepatology 161
  • Artificial Intelligence 566
  • Health Information Management 70
Replace Binh P. Nguyen with:
Binh P. Nguyen New Zealand
Nguyen Quoc Khanh Le Taiwan
Muhammad Usman Ashraf Pakistan
Mahmoud Ragab Saudi Arabia
Yanhui Guo United States
Seiya Imoto Japan
Yuexiang Li China
Xi Wang China
Tarek Abd El‐Hafeez Egypt
Chi Liu China
Manjit Kaur relative to Binh P. Nguyen New Zealand Binh P. Nguyen's profile →
Citations per field
00.5×11.5×
Binh P. Nguyen · 1×
Citations per year

Countries citing papers authored by Manjit Kaur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Manjit Kaur Line = papers co-authored together Manjit Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018258
2 2021100
3 202196
4 202094
5 199276
6 200665
7 202164
8 201063
9 202160
10 202158
11 202157
12 201852
13 202149
14 199247
15 201843
16 200642
17 202141
18 199240
19 202238
20 202138

About Manjit Kaur

Manjit Kaur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (10 papers), COVID-19 diagnosis using AI (8 papers), Computational Drug Discovery Methods (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Cryptographic Implementations and Security (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Health Informatics (55 citations), Computer Vision and Pattern Recognition (600 citations), Hepatology (161 citations), Artificial Intelligence (566 citations) and Health Information Management (70 citations). Manjit Kaur has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Vijay Kumar, Dilbag Singh, Heung-No Lee, Mohammad Monirujjaman Khan, Helen M. Lewis, Surender Singh, Atef Zaguia, Rajat Sandhir, Mehedi Masud and Neha Gianchandani. Their work appears in journals such as Archives of Computational Methods in Engineering, IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), IEEE Journal of Biomedical and Health Informatics and Proceedings of the National Academy of Sciences.

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.

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