Manjit Kaur

3.3k total citations
88 papers, 2.1k citations indexed

About

Manjit Kaur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Manjit Kaur has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Theory and Mathematics. Recurrent topics in Manjit Kaur's work include Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (10 papers) and COVID-19 diagnosis using AI (8 papers). Manjit Kaur is often cited by papers focused on Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (10 papers) and COVID-19 diagnosis using AI (8 papers). Manjit Kaur collaborates with scholars based in India, South Korea and Saudi Arabia. Manjit Kaur's co-authors include Vijay Kumar, Dilbag Singh, Heung-No Lee, Helen Lewis, Mohammad Monirujjaman Khan, Surender Singh, Atef Zaguia, Sahil Sharma, Rajat Sandhir and Neha Gianchandani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Manjit Kaur

86 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manjit Kaur India 27 585 568 264 182 167 88 2.1k
Muhammad Usman Ashraf Pakistan 24 209 0.4× 527 0.9× 196 0.7× 81 0.4× 256 1.5× 146 1.8k
Wenbin Liu China 27 197 0.3× 536 0.9× 113 0.4× 828 4.5× 146 0.9× 147 2.4k
Yadong Wang China 17 298 0.5× 532 0.9× 175 0.7× 301 1.7× 112 0.7× 83 1.5k
Chi Liu China 23 372 0.6× 216 0.4× 444 1.7× 330 1.8× 54 0.3× 93 2.0k
Yanhui Guo United States 32 1.3k 2.2× 983 1.7× 927 3.5× 119 0.7× 82 0.5× 140 3.4k
Hitendra Garg India 22 284 0.5× 204 0.4× 274 1.0× 49 0.3× 205 1.2× 92 2.1k
Felix Agakov United Kingdom 21 174 0.3× 463 0.8× 153 0.6× 549 3.0× 277 1.7× 44 2.3k
Yang Feng United States 26 162 0.3× 630 1.1× 51 0.2× 655 3.6× 104 0.6× 115 2.7k
Jing Xiao China 24 249 0.4× 1.0k 1.8× 626 2.4× 39 0.2× 47 0.3× 188 2.0k
Xiaofang Liu China 24 136 0.2× 825 1.5× 58 0.2× 92 0.5× 685 4.1× 86 2.4k

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-authorship network of co-authors of Manjit Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Manjit Kaur. A scholar is included among the top collaborators of Manjit Kaur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manjit Kaur. Manjit Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Singh, Dilbag, et al.. (2024). A systematic literature review on chaotic maps-based image security techniques. Computer Science Review. 54. 100659–100659. 10 indexed citations
3.
Kaur, Manjit, et al.. (2023). DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images. Diagnostics. 13(17). 2752–2752. 14 indexed citations
4.
Bairwa, Amit Kumar, et al.. (2023). Comprehensive Analysis of Advanced Techniques and Vital Tools for Detecting Malware Intrusion. Electronics. 12(20). 4299–4299. 17 indexed citations
5.
Singh, Priyamvada, Manjit Kaur, Guy Brock, et al.. (2023). Outcomes After Deceased Donor Kidney Transplantation Using Kidney Allografts With Marginal Perfusion Parameters. Transplantation Proceedings. 55(7). 1561–1567. 1 indexed citations
6.
Kaur, Manjit, et al.. (2023). Efficient Skip Connections-Based Residual Network (ESRNet) for Brain Tumor Classification. Diagnostics. 13(20). 3234–3234. 7 indexed citations
7.
Kaur, Manjit, et al.. (2022). Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework. Contrast Media & Molecular Imaging. 2022(1). 7377502–7377502. 33 indexed citations
8.
Singh, Surender, et al.. (2022). Efficient Permutation and Diffusion Model based on TCMT for Image Encryption. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–8. 1 indexed citations
9.
10.
Kumar, Vijay, et al.. (2021). A Comprehensive Review on Scatter Search: Techniques, Applications, and Challenges. Mathematical Problems in Engineering. 2021. 1–21. 20 indexed citations
11.
Kaur, Manjit, et al.. (2021). Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images. Journal of Healthcare Engineering. 2021. 1–9. 60 indexed citations
12.
Liu, Liping, Dan Xu, Ashutosh Sharma, et al.. (2021). CT Image Segmentation Method of Liver Tumor Based on Artificial Intelligence Enabled Medical Imaging. Mathematical Problems in Engineering. 2021. 1–8. 18 indexed citations
13.
Mashwani, Wali Khan, et al.. (2021). Large-scale bound constrained optimization based on hybrid teaching learning optimization algorithm. Alexandria Engineering Journal. 60(6). 6013–6033. 9 indexed citations
14.
Kumar, Sunil, Hanumat Sastry G, Hammam Alshazly, et al.. (2021). DDoS Detection in SDN using Machine Learning Techniques. Computers, materials & continua/Computers, materials & continua (Print). 71(1). 771–789. 48 indexed citations
15.
Yadav, Ashwani Kumar, et al.. (2021). Trigonometric mutation and successful-parent-selection based adaptive asynchronous differential evolution. Journal of Ambient Intelligence and Humanized Computing. 13(12). 5829–5846. 4 indexed citations
16.
Singh, Dilbag, et al.. (2019). A Novel Framework for Drug Synergy Prediction using Differential Evolution based Multinomial Random Forest. International Journal of Advanced Computer Science and Applications. 10(5). 7 indexed citations
17.
Kaur, Manjit & Vijay Kumar. (2018). A Comprehensive Review on Image Encryption Techniques. Archives of Computational Methods in Engineering. 27(1). 15–43. 252 indexed citations
18.
Parmar, Girish, et al.. (2014). Basics of Color in Dentistry: A Review. IOSR Journal of Dental and Medical Sciences. 13(9). 78–85. 14 indexed citations
19.
Kulikov, R., et al.. (2010). Mdm2 facilitates the association of p53 with the proteasome. Proceedings of the National Academy of Sciences. 107(22). 10038–10043. 62 indexed citations
20.
Kaur, Manjit & Huckaby Lewis. (2005). Severe recalcitrant pyoderma gangrenosum treated with infliximab. British Journal of Dermatology. 153(3). 689–691. 25 indexed citations

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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