S. Deepak
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- Advanced Neural Network Applications 4
- Digital Imaging for Blood Diseases 3
- Image Retrieval and Classification Techniques 2
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- Brain Tumor Detection and Classification 7
- Co-authors
- P. M. Ameer (6 shared papers)Bhadrachalam Chitturi (1 shared paper)H. Anandakumar (2 shared papers)Bhanu Prasad (1 shared paper)Sobin cc (1 shared paper)S. V. Sudha (1 shared paper)Jyothisha J. Nair (1 shared paper)M Ramkumar (1 shared paper)
- Journals
- Computers in Biology and Medicine (2 papers)Neurocomputing (1 paper)International Journal of Imaging Systems and Technology (1 paper)Journal of Ambient Intelligence and Humanized Computing (1 paper)Advances in intelligent systems and computing (1 paper)
- Partner nations
- India
In The Last Decade
S. Deepak
30 papers receiving 1.5k citations
S. Deepak's Hit Papers
Peers
Comparison fields: 5 of 96
- Neurology 1.0k
- Computer Vision and Pattern Recognition 833
- Artificial Intelligence 651
- Radiology, Nuclear Medicine and Imaging 318
- Urban Studies 59
Countries citing papers authored by S. Deepak
This map shows the geographic impact of S. Deepak'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 S. Deepak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Deepak more than expected).
Fields of papers citing papers by S. Deepak
This network shows the impact of papers produced by S. Deepak. 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 S. Deepak. The network helps show where S. Deepak may publish in the future.
Co-authors
The 20 scholars most cited alongside S. Deepak, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Brain tumor classification using deep CNN features via transfer learning Hit paper breakdown → | 2019 | 976 |
| 2 | 2020 | 199 | |
| 3 | 2020 | 83 | |
| 4 | 2022 | 74 | |
| 5 | 2020 | 44 | |
| 6 | 2019 | 37 | |
| 7 | 2020 | 33 | |
| 8 | 2021 | 23 | |
| 9 | 2015 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2013 | 3 | |
| 18 | A Novel Strategy for COVID-19 Classification from Chest X-ray Images Using Deep Stacked-Ensembles. | 2020 | 3 |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About S. Deepak
S. Deepak is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Media Technology and Health Information Management, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (4 papers), Vehicle License Plate Recognition (4 papers), Digital Imaging for Blood Diseases (3 papers), COVID-19 diagnosis using AI (3 papers), Machine Learning and ELM (3 papers), IoT and GPS-based Vehicle Safety Systems (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Neurology (1.0k citations), Computer Vision and Pattern Recognition (833 citations), Artificial Intelligence (651 citations), Radiology, Nuclear Medicine and Imaging (318 citations) and Urban Studies (59 citations). S. Deepak has collaborated with scholars based in India. Frequent co-authors include P. M. Ameer, Bhadrachalam Chitturi, H. Anandakumar, Bhanu Prasad, Sobin cc, S. V. Sudha, Jyothisha J. Nair, M Ramkumar, Thomas Hanne and R. Kumar. Their work appears in journals such as Computers in Biology and Medicine, Neurocomputing, International Journal of Imaging Systems and Technology, Journal of Ambient Intelligence and Humanized Computing and Advances in intelligent systems and computing.
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.