Chaitanya Kaul
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Pulmonary and Respiratory Medicine
- Co-authors
- Roderick Murray‐SmithDirk HusmeierTom LawtonIbrahim HabliYan JiaAlison Q. O’NeilSotirios A. TsaftarisAlexander Weir
- Topics
- Numerical Methods and Algorithms (3 papers)Artificial Intelligence in Healthcare (2 papers)Gas Dynamics and Kinetic Theory (2 papers)
- Partner nations
- IndiaUnited KingdomItaly
In The Last Decade
Chaitanya Kaul
22 papers receiving 213 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 81
- Computer Vision and Pattern Recognition 72
- Radiology, Nuclear Medicine and Imaging 49
- Neurology 29
- Pulmonary and Respiratory Medicine 28
Countries citing papers authored by Chaitanya Kaul
This map shows the geographic impact of Chaitanya Kaul'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 Chaitanya Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaitanya Kaul more than expected).
Fields of papers citing papers by Chaitanya Kaul
This network shows the impact of papers produced by Chaitanya Kaul. 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 Chaitanya Kaul. The network helps show where Chaitanya Kaul may publish in the future.
Co-authorship network of co-authors of Chaitanya Kaul
This figure shows the co-authorship network connecting the top 25 collaborators of Chaitanya Kaul. A scholar is included among the top collaborators of Chaitanya Kaul 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 Chaitanya Kaul. Chaitanya Kaul 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 | 2 | |
| 3 | 1 | |
| 4 | 83 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 45 | |
| 8 | 44 | |
| 9 | An agent based and ant colony metaheuristic approach to the last mile logistics problem | 1 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Chaitanya Kaul
Chaitanya Kaul is a scholar working on Health Information Management, General Materials Science and Instrumentation, having authored 25 papers that have together received 221 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (3 papers), Artificial Intelligence in Healthcare (2 papers) and Gas Dynamics and Kinetic Theory (2 papers). The work is most often cited by research in Health Informatics (9 citations), Computer Vision and Pattern Recognition (72 citations) and Neurology (29 citations). Chaitanya Kaul has collaborated with scholars based in India, United Kingdom and Italy. Frequent co-authors include Roderick Murray‐Smith, Dirk Husmeier, Tom Lawton, Ibrahim Habli, Yan Jia, Alison Q. O’Neil, Sotirios A. Tsaftaris, Alexander Weir, Qianying Liu and Fani Deligianni. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Sensors.
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.