Dwarikanath Mahapatra
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 5%
- Ophthalmology top 2%
- Biomedical Engineering
- Co-authors
- Joachim M. BuhmannRahil GarnaviJulian ZillyBehzad BozorgtabarZongyuan GeSuman SedaiYing SunJeroen A. W. Tielbeek
- Topics
- Medical Image Segmentation Techniques (34 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)COVID-19 diagnosis using AI (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingOphthalmology
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- SwitzerlandAustraliaUnited Arab Emirates
In The Last Decade
Dwarikanath Mahapatra
84 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 1.1k
- Radiology, Nuclear Medicine and Imaging 905
- Artificial Intelligence 464
- Ophthalmology 352
- Biomedical Engineering 207
Countries citing papers authored by Dwarikanath Mahapatra
This map shows the geographic impact of Dwarikanath Mahapatra'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 Dwarikanath Mahapatra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dwarikanath Mahapatra more than expected).
Fields of papers citing papers by Dwarikanath Mahapatra
This network shows the impact of papers produced by Dwarikanath Mahapatra. 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 Dwarikanath Mahapatra. The network helps show where Dwarikanath Mahapatra may publish in the future.
Co-authorship network of co-authors of Dwarikanath Mahapatra
This figure shows the co-authorship network connecting the top 25 collaborators of Dwarikanath Mahapatra. A scholar is included among the top collaborators of Dwarikanath Mahapatra 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 Dwarikanath Mahapatra. Dwarikanath Mahapatra 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 | 3 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration. | 2 |
| 9 | Elastic Registration of Medical Images With GANs. | 8 |
| 10 | 181 | |
| 11 | Semi-Supervised Learning And Graph Cuts For Consensus Based Medical Image Segmentation | 1 |
| 12 | Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentationbreakdown → | 264 |
| 13 | 10 | |
| 14 | 50 | |
| 15 | 16 | |
| 16 | 45 | |
| 17 | 26 | |
| 18 | 5 | |
| 19 | 17 | |
| 20 | 22 |
About Dwarikanath Mahapatra
Dwarikanath Mahapatra is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 87 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (34 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and COVID-19 diagnosis using AI (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Radiology, Nuclear Medicine and Imaging (905 citations) and Ophthalmology (352 citations). Dwarikanath Mahapatra has collaborated with scholars based in Switzerland, Australia and United Arab Emirates. Frequent co-authors include Joachim M. Buhmann, Rahil Garnavi, Julian Zilly, Behzad Bozorgtabar, Zongyuan Ge, Suman Sedai, Ying Sun, Jeroen A. W. Tielbeek, Franciscus M. Vos and Mauricio Reyes. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.
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.