Meenakshi Sood
- Ophthalmology top 5%
- Retinal Diseases and Treatments 10
- Neurology top 10%
- Brain Tumor Detection and Classification 10
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- Digital Imaging for Blood Diseases 11
- Medical Image Segmentation Techniques 9
- Image and Signal Denoising Methods 9
- Advanced Data Compression Techniques 7
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- Retinal Imaging and Analysis 15
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- EEG and Brain-Computer Interfaces 10
- Co-authors
- Shruti JainSunil BhooshanAshutosh SharmaAyodeji Olalekan SalauSudip PaulS. Shenbaga DeviTakele Ferede AgajieVinay Kumar
In The Last Decade
Meenakshi Sood
58 papers receiving 544 citations
Peers
Comparison fields: 5 of 103
- Health Information Management 96
- Ophthalmology 121
- Neurology 107
- Computer Vision and Pattern Recognition 220
- Radiology, Nuclear Medicine and Imaging 219
Countries citing papers authored by Meenakshi Sood
This map shows the geographic impact of Meenakshi Sood'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 Meenakshi Sood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meenakshi Sood more than expected).
Fields of papers citing papers by Meenakshi Sood
This network shows the impact of papers produced by Meenakshi Sood. 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 Meenakshi Sood. The network helps show where Meenakshi Sood may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Meenakshi Sood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 57 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 0 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 0 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 13 | |
| 14 | Braille hand glove — A real time translation and communication device | 2016 | 5 |
| 15 | Hierarchical computer aided diagnostic system for seizure classification | 2015 | 2 |
| 16 | 2015 | 4 | |
| 17 | COMPARISON OF MACHINE LEARNING METHODS FOR PREDICTION OF EPILEPSY BY NEUROPHYSIOLOGICAL EEG SIGNALS | 2014 | 3 |
| 18 | 2014 | 3 | |
| 19 | An Embedded Platform For GSM/CDMA Controlled Surveillance Robot. | 2008 | 1 |
| 20 | Brain Tumor Detection from MR Images Employing Fuzzy Graph Cut Technique | 1969 | 3 |
About Meenakshi Sood
Meenakshi Sood is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Neurology, having authored 65 papers that have together received 572 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (15 papers), Digital Imaging for Blood Diseases (11 papers), Retinal Diseases and Treatments (10 papers), Brain Tumor Detection and Classification (10 papers), EEG and Brain-Computer Interfaces (10 papers), Medical Image Segmentation Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Health Information Management (96 citations), Ophthalmology (121 citations) and Neurology (107 citations). Meenakshi Sood has collaborated with scholars based in India, Ethiopia and Nigeria. Frequent co-authors include Shruti Jain, Sunil Bhooshan, Ashutosh Sharma, Ayodeji Olalekan Salau, Shruti Jain, Sudip Paul, S. Shenbaga Devi, Takele Ferede Agajie, Vinay Kumar and Luís Mesquita David. Their work appears in journals such as International Journal of Remote Sensing, Neural Computing and Applications and Biomedical Signal Processing and Control.
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.