Sonali Dash
Impact in
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Image Retrieval and Classification Techniques 10
- Medical Image Segmentation Techniques 8
- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 6
- Digital Imaging for Blood Diseases 4
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- Vehicle License Plate Recognition 5
- Co-authors
- Manas Ranjan Senapati (7 shared papers)Sahil Verma (6 shared papers)Priyadarsan Parida (8 shared papers)Kavita Kavita (7 shared papers)Muhammad Fazal Ijaz (3 shared papers)Jana Shafi (3 shared papers)Marcin Woźniak (2 shared papers)Savitri Bevinakoppa (1 shared paper)
- Journals
- Neural Computing and Applications (2 papers)Egyptian Informatics Journal (2 papers)Image and Vision Computing (1 paper)Wireless Communications and Mobile Computing (1 paper)Intelligent Systems with Applications (1 paper)
- Partner nations
- IndiaSouth KoreaSaudi Arabia
In The Last Decade
Sonali Dash
36 papers receiving 433 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 206
- Neurology 82
- Ophthalmology 68
- Radiology, Nuclear Medicine and Imaging 139
- Health Information Management 26
Countries citing papers authored by Sonali Dash
This map shows the geographic impact of Sonali Dash'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 Sonali Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonali Dash more than expected).
Fields of papers citing papers by Sonali Dash
This network shows the impact of papers produced by Sonali Dash. 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 Sonali Dash. The network helps show where Sonali Dash may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonali Dash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2021 | 40 | |
| 3 | 2022 | 32 | |
| 4 | 2023 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2017 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2017 | 4 |
About Sonali Dash
Sonali Dash is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence, having authored 37 papers that have together received 446 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (10 papers), Retinal Imaging and Analysis (9 papers), Glaucoma and retinal disorders (8 papers), Medical Image Segmentation Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers), Vehicle License Plate Recognition (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Neurology (82 citations), Ophthalmology (68 citations), Radiology, Nuclear Medicine and Imaging (139 citations) and Health Information Management (26 citations). Sonali Dash has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Manas Ranjan Senapati, Sahil Verma, Priyadarsan Parida, Kavita Kavita, Muhammad Fazal Ijaz, Jana Shafi, Marcin Woźniak, Savitri Bevinakoppa, A. K. Mohanty and Pramod K. Dash. Their work appears in journals such as Neural Computing and Applications, Egyptian Informatics Journal, Image and Vision Computing, Wireless Communications and Mobile Computing and Intelligent Systems with Applications.
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.