Ratnakar Dash
Impact in
- Neurology top 1%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- Image and Signal Denoising Methods 12
- Advanced Image Processing Techniques 11
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- Machine Learning and ELM 17
- AI in cancer detection 12
- Co-authors
- Banshidhar Majhi (45 shared papers)Deepak Ranjan Nayak (24 shared papers)Debendra Muduli (4 shared papers)Kshira Sagar Sahoo (9 shared papers)Bibhudatta Sahoo (9 shared papers)Dillip Kumar Swain (2 shared papers)P. Krishnan (1 shared paper)S. K. Nayak (1 shared paper)
- Journals
- Multimedia Tools and Applications (11 papers)Biomedical Signal Processing and Control (5 papers)Neurocomputing (4 papers)Nutrient Cycling in Agroecosystems (3 papers)Computers & Electrical Engineering (3 papers)
- Partner nations
- IndiaUnited KingdomAustralia
In The Last Decade
Ratnakar Dash
107 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 140
- Neurology 539
- Computer Vision and Pattern Recognition 827
- Media Technology 272
- Artificial Intelligence 934
- Radiology, Nuclear Medicine and Imaging 389
Countries citing papers authored by Ratnakar Dash
This map shows the geographic impact of Ratnakar 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 Ratnakar Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ratnakar Dash more than expected).
Fields of papers citing papers by Ratnakar Dash
This network shows the impact of papers produced by Ratnakar 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 Ratnakar Dash. The network helps show where Ratnakar Dash may publish in the future.
Co-authors
The 25 scholars most cited alongside Ratnakar 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 210 | |
| 2 | 2015 | 204 | |
| 3 | 2014 | 162 | |
| 4 | 2018 | 143 | |
| 5 | 2021 | 117 | |
| 6 | 2020 | 110 | |
| 7 | 2019 | 61 | |
| 8 | 2020 | 57 | |
| 9 | 2017 | 56 | |
| 10 | 2013 | 53 | |
| 11 | 2021 | 52 | |
| 12 | 2024 | 50 | |
| 13 | 2020 | 48 | |
| 14 | 2019 | 46 | |
| 15 | 2017 | 43 | |
| 16 | 2016 | 42 | |
| 17 | 2018 | 39 | |
| 18 | 2017 | 35 | |
| 19 | 1991 | 35 | |
| 20 | 2016 | 35 |
About Ratnakar Dash
Ratnakar Dash is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Neurology and Computer Networks and Communications, having authored 119 papers that have together received 2.3k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (23 papers), Machine Learning and ELM (17 papers), Network Security and Intrusion Detection (13 papers), Image and Signal Denoising Methods (12 papers), AI in cancer detection (12 papers), Remote Sensing and Land Use (11 papers), Advanced Image Processing Techniques (11 papers) and Remote-Sensing Image Classification (11 papers). The work is most often cited by research in Neurology (539 citations), Computer Vision and Pattern Recognition (827 citations), Media Technology (272 citations), Artificial Intelligence (934 citations) and Radiology, Nuclear Medicine and Imaging (389 citations). Ratnakar Dash has collaborated with scholars based in India, United Kingdom and Australia. Frequent co-authors include Banshidhar Majhi, Deepak Ranjan Nayak, Debendra Muduli, Kshira Sagar Sahoo, Bibhudatta Sahoo, Dillip Kumar Swain, P. Krishnan, S. K. Nayak, Mayank Tiwary and Joel J. P. C. Rodrigues. Their work appears in journals such as Multimedia Tools and Applications, Biomedical Signal Processing and Control, Neurocomputing, Nutrient Cycling in Agroecosystems and Computers & Electrical Engineering.
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.