Sukhpreet Kaur
- Artificial Intelligence top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Health Information Management top 5%
- Co-authors
- Yogesh KumarApeksha KoulK. SureshP. Anil KumarRanbir Singh BatthJohn ShenJun GongMonica Mita
- Topics
- Artificial Intelligence in Healthcare (3 papers)Cloud Computing and Resource Management (3 papers)Energy Harvesting in Wireless Networks (2 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceComputer Vision and Pattern Recognition
In The Last Decade
Sukhpreet Kaur
26 papers receiving 336 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 108
- Molecular Biology 89
- Computer Vision and Pattern Recognition 42
- Computer Networks and Communications 35
- Health Information Management 30
Countries citing papers authored by Sukhpreet Kaur
This map shows the geographic impact of Sukhpreet 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 Sukhpreet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhpreet Kaur more than expected).
Fields of papers citing papers by Sukhpreet Kaur
This network shows the impact of papers produced by Sukhpreet 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 Sukhpreet Kaur. The network helps show where Sukhpreet Kaur may publish in the future.
Co-authorship network of co-authors of Sukhpreet Kaur
This figure shows the co-authorship network connecting the top 25 collaborators of Sukhpreet Kaur. A scholar is included among the top collaborators of Sukhpreet 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 Sukhpreet Kaur. Sukhpreet Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challengesbreakdown → | 96 |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 48 | |
| 15 | 6 | |
| 16 | Techniques of Node Localization in WirelessSensor Networks: A Review | 2 |
| 17 | Review Paper: To Reduce The Handover Delay In Wimax When The Mobile Station Moves At Higher Speed. | 0 |
| 18 | Implementing UPGMA and NJ Method For Phylogenetic Tree Construction Using Hierarchical Clustering | 4 |
| 19 | 53 | |
| 20 | 12 |
About Sukhpreet Kaur
Sukhpreet Kaur is a scholar working on Health Information Management, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 352 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Cloud Computing and Resource Management (3 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Health Information Management (30 citations), Artificial Intelligence (108 citations) and Computer Vision and Pattern Recognition (42 citations). Sukhpreet Kaur has collaborated with scholars based in India, Taiwan and Italy. Frequent co-authors include Yogesh Kumar, Apeksha Koul, K. Suresh, P. Anil Kumar, Ranbir Singh Batth, John Shen, Jun Gong, Monica Mita, Gabriele Gianini and Yu‐Chen Hu. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Neural Computing and Applications and Artificial Intelligence Review.
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.