Prabhjot Kaur
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Control and Systems Engineering
- Signal Processing
- Co-authors
- Anjana GosainAnil Kumar SoniTamalika ChairaKalpana DahiyaAnuj SharmaDilbag SinghArun KhoslaMoin Uddin
- Topics
- Advanced Clustering Algorithms Research (9 papers)Face and Expression Recognition (7 papers)Biometric Identification and Security (5 papers)
- Journals
- NeurologyEuropean Journal of Operational ResearchCritical Reviews in Food Science and Nutrition
- Partner nations
- IndiaNew ZealandUnited States
In The Last Decade
Prabhjot Kaur
29 papers receiving 250 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 115
- Computer Vision and Pattern Recognition 92
- Information Systems 40
- Control and Systems Engineering 38
- Signal Processing 29
Countries citing papers authored by Prabhjot Kaur
This map shows the geographic impact of Prabhjot 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 Prabhjot Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhjot Kaur more than expected).
Fields of papers citing papers by Prabhjot Kaur
This network shows the impact of papers produced by Prabhjot 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 Prabhjot Kaur. The network helps show where Prabhjot Kaur may publish in the future.
Co-authorship network of co-authors of Prabhjot Kaur
This figure shows the co-authorship network connecting the top 25 collaborators of Prabhjot Kaur. A scholar is included among the top collaborators of Prabhjot 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 Prabhjot Kaur. Prabhjot 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 | 15 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | Social Media in Data Mining Review Paper | 1 |
| 10 | 17 | |
| 11 | 0 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | Novel Intuitionistic Fuzzy C-Means Clustering for Li nearly and Nonlinearly Separable Data | 18 |
| 17 | 6 | |
| 18 | 15 | |
| 19 | 13 | |
| 20 | 12 |
About Prabhjot Kaur
Prabhjot Kaur is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Signal Processing, having authored 37 papers that have together received 273 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (7 papers) and Biometric Identification and Security (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (92 citations), Artificial Intelligence (115 citations) and Media Technology (28 citations). Prabhjot Kaur has collaborated with scholars based in India, New Zealand and United States. Frequent co-authors include Anjana Gosain, Anil Kumar Soni, Tamalika Chaira, Kalpana Dahiya, Anuj Sharma, Dilbag Singh, Arun Khosla, Moin Uddin, Nitin Kumar and Kulvinder Singh. Their work appears in journals such as Neurology, European Journal of Operational Research and Critical Reviews in Food Science and Nutrition.
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.