Kanwal K. Bhatia
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Pulmonary and Respiratory Medicine
- Media Technology top 5%
- Co-authors
- Daniel RueckertJoseph V. HajnalA. David EdwardsJames P. BoardmanMary RutherfordPaul AljabarSerena J. CounsellBasant K. Puri
- Topics
- Medical Image Segmentation Techniques (10 papers)Neonatal and fetal brain pathology (5 papers)Image Retrieval and Classification Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionPediatrics, Perinatology and Child HealthRadiology, Nuclear Medicine and Imaging
- Partner nations
- United KingdomJapanChina
In The Last Decade
Kanwal K. Bhatia
25 papers receiving 882 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 436
- Radiology, Nuclear Medicine and Imaging 334
- Pediatrics, Perinatology and Child Health 295
- Pulmonary and Respiratory Medicine 162
- Media Technology 110
Countries citing papers authored by Kanwal K. Bhatia
This map shows the geographic impact of Kanwal K. Bhatia'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 Kanwal K. Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanwal K. Bhatia more than expected).
Fields of papers citing papers by Kanwal K. Bhatia
This network shows the impact of papers produced by Kanwal K. Bhatia. 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 Kanwal K. Bhatia. The network helps show where Kanwal K. Bhatia may publish in the future.
Co-authorship network of co-authors of Kanwal K. Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Kanwal K. Bhatia. A scholar is included among the top collaborators of Kanwal K. Bhatia 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 Kanwal K. Bhatia. Kanwal K. Bhatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 19 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 37 | |
| 9 | 159 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 76 | |
| 14 | 45 | |
| 15 | 29 | |
| 16 | 34 | |
| 17 | 190 | |
| 18 | 10 | |
| 19 | 33 | |
| 20 | 131 |
About Kanwal K. Bhatia
Kanwal K. Bhatia is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 901 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Neonatal and fetal brain pathology (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (436 citations), Pediatrics, Perinatology and Child Health (295 citations) and Radiology, Nuclear Medicine and Imaging (334 citations). Kanwal K. Bhatia has collaborated with scholars based in United Kingdom, Japan and China. Frequent co-authors include Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, James P. Boardman, Mary Rutherford, Paul Aljabar, Serena J. Counsell, Basant K. Puri, Olga Kapellou and Joanna Allsop. Their work appears in journals such as NeuroImage, Annals of Neurology and IEEE Transactions on Medical Imaging.
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.