Arunava Chakravarty
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Jayanthi SivaswamyGopal Datt JoshiDebdoot SheetS. R. KrishnadasRamanathan SethuramanUrsula Schmidt‐ErfurthBram van GinnekenClara I. Sánchez
- Topics
- Retinal Imaging and Analysis (13 papers)Retinal Diseases and Treatments (6 papers)Glaucoma and retinal disorders (6 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Applied Physics LettersIEEE Transactions on Medical ImagingComputer Methods and Programs in Biomedicine
- Partner nations
- IndiaNetherlandsAustria
In The Last Decade
Arunava Chakravarty
18 papers receiving 514 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 436
- Ophthalmology 330
- Computer Vision and Pattern Recognition 253
- Artificial Intelligence 97
- Biomedical Engineering 52
Countries citing papers authored by Arunava Chakravarty
This map shows the geographic impact of Arunava Chakravarty'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 Arunava Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunava Chakravarty more than expected).
Fields of papers citing papers by Arunava Chakravarty
This network shows the impact of papers produced by Arunava Chakravarty. 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 Arunava Chakravarty. The network helps show where Arunava Chakravarty may publish in the future.
Co-authorship network of co-authors of Arunava Chakravarty
This figure shows the co-authorship network connecting the top 25 collaborators of Arunava Chakravarty. A scholar is included among the top collaborators of Arunava Chakravarty 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 Arunava Chakravarty. Arunava Chakravarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 64 | |
| 10 | 53 | |
| 11 | 37 | |
| 12 | A Comprehensive Retinal Image Dataset for the Assessment of Glaucoma from the Optic Nerve Head Analysis | 198 |
| 13 | 6 | |
| 14 | 25 | |
| 15 | 16 | |
| 16 | 18 | |
| 17 | 20 | |
| 18 | 18 |
About Arunava Chakravarty
Arunava Chakravarty is a scholar working on Acoustics and Ultrasonics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (6 papers) and Glaucoma and retinal disorders (6 papers). The work is most often cited by research in Ophthalmology (330 citations), Radiology, Nuclear Medicine and Imaging (436 citations) and Computer Vision and Pattern Recognition (253 citations). Arunava Chakravarty has collaborated with scholars based in India, Netherlands and Austria. Frequent co-authors include Jayanthi Sivaswamy, Gopal Datt Joshi, Debdoot Sheet, S. R. Krishnadas, Ramanathan Sethuraman, Ursula Schmidt‐Erfurth, Bram van Ginneken, Clara I. Sánchez, Thomas Theelen and Johan H. Mentink. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Medical Imaging and Computer Methods and Programs in Biomedicine.
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.