Bhavneet Kaur
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 10%
- Artificial Intelligence
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
- Co-authors
- Lalit Mohan GoyalAmit VermaMamta MittalIqbaldeep KaurSudipta RoyTai-hoon KimD. Jude HemanthMeenakshi Sharma
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Image Retrieval and Classification Techniques (6 papers)Advanced Image Fusion Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- IEEE AccessJournal of Orthopaedic Research®Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Bhavneet Kaur
22 papers receiving 221 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 125
- Media Technology 52
- Artificial Intelligence 47
- Industrial and Manufacturing Engineering 19
- Electrical and Electronic Engineering 18
Countries citing papers authored by Bhavneet Kaur
This map shows the geographic impact of Bhavneet 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 Bhavneet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhavneet Kaur more than expected).
Fields of papers citing papers by Bhavneet Kaur
This network shows the impact of papers produced by Bhavneet 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 Bhavneet Kaur. The network helps show where Bhavneet Kaur may publish in the future.
Co-authorship network of co-authors of Bhavneet Kaur
This figure shows the co-authorship network connecting the top 25 collaborators of Bhavneet Kaur. A scholar is included among the top collaborators of Bhavneet 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 Bhavneet Kaur. Bhavneet 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 30 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | Content Based Image Retrieval with Graphical Processing Unit | 7 |
| 20 | 2 |
About Bhavneet Kaur
Bhavneet Kaur is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Rheumatology, having authored 30 papers that have together received 238 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Media Technology (52 citations) and Industrial and Manufacturing Engineering (19 citations). Bhavneet Kaur has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Lalit Mohan Goyal, Amit Verma, Mamta Mittal, Iqbaldeep Kaur, Sudipta Roy, Tai-hoon Kim, D. Jude Hemanth, Meenakshi Sharma, Shilpa Rani and Sushma Jain. Their work appears in journals such as IEEE Access, Journal of Orthopaedic Research® and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.