Kunal K. Dansingani
- Ophthalmology top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Molecular Biology
- Biomedical Engineering
- Neurology top 10%
- Co-authors
- K. Bailey FreundChandrakumar BalaratnasingamWon Ki LeeJonathan NaysanLawrence A. YannuzziDavid SarrafChui Ming Gemmy CheungHideki Koizumi
- Topics
- Retinal Diseases and Treatments (45 papers)Retinal Imaging and Analysis (36 papers)Glaucoma and retinal disorders (28 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Kunal K. Dansingani
66 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Ophthalmology 2.8k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Molecular Biology 239
- Biomedical Engineering 170
- Neurology 103
Countries citing papers authored by Kunal K. Dansingani
This map shows the geographic impact of Kunal K. Dansingani'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 Kunal K. Dansingani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal K. Dansingani more than expected).
Fields of papers citing papers by Kunal K. Dansingani
This network shows the impact of papers produced by Kunal K. Dansingani. 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 Kunal K. Dansingani. The network helps show where Kunal K. Dansingani may publish in the future.
Co-authorship network of co-authors of Kunal K. Dansingani
This figure shows the co-authorship network connecting the top 25 collaborators of Kunal K. Dansingani. A scholar is included among the top collaborators of Kunal K. Dansingani 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 Kunal K. Dansingani. Kunal K. Dansingani 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 | 26 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 49 | |
| 6 | Automated choroid layer segmentation based on wide-field SS-OCT images using deep residual encoder-decoder architecture | 10 |
| 7 | 4 | |
| 8 | An automated choroid segmentation approach using transfer learning and encoder-decoder networks | 1 |
| 9 | Multimodal ophthalmic image registration using Hessian feature spaces | 1 |
| 10 | 11 | |
| 11 | 22 | |
| 12 | 3 | |
| 13 | Pachychoroid diseasebreakdown → | 444 |
| 14 | 4 | |
| 15 | 27 | |
| 16 | Classification of macular lesions using optical coherence tomography and an artificial neural network | 1 |
| 17 | 44 | |
| 18 | 67 | |
| 19 | 11 | |
| 20 | 45 |
About Kunal K. Dansingani
Kunal K. Dansingani is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 69 papers that have together received 3.0k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (45 papers), Retinal Imaging and Analysis (36 papers) and Glaucoma and retinal disorders (28 papers). The work is most often cited by research in Ophthalmology (2.8k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Neurology (103 citations). Kunal K. Dansingani has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include K. Bailey Freund, Chandrakumar Balaratnasingam, Won Ki Lee, Jonathan Naysan, Lawrence A. Yannuzzi, David Sarraf, Chui Ming Gemmy Cheung, Hideki Koizumi, Timothy Y. Y. Lai and Jay Chhablani. Their work appears in journals such as Scientific Reports, Ophthalmology and Pattern Recognition.
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.