Sudip Kumar Adhikari
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Face and Expression Recognition
Papers in
-
- Medical Image Segmentation Techniques 12
- Image Retrieval and Classification Techniques 6
- Advanced Image and Video Retrieval Techniques 1
-
- Remote-Sensing Image Classification 5
- Advanced Image Fusion Techniques 2
- Co-authors
- Jamuna Kanta Sing (12 shared papers)Dipak Kumar Basu (5 shared papers)Mita Nasipuri (4 shared papers)Punam K. Saha (2 shared papers)Sourav De (1 shared paper)D. Basu (1 shared paper)Prasenjit Dey (1 shared paper)
- Journals
- Applied Soft Computing (3 papers)Journal of Chemometrics (2 papers)Signal Image and Video Processing (1 paper)IET Computer Vision (1 paper)Informatica (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Sudip Kumar Adhikari
13 papers receiving 277 citations
Peers
Comparison fields: 5 of 58
- Neurology 100
- Computer Vision and Pattern Recognition 216
- Media Technology 78
- Artificial Intelligence 61
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Sudip Kumar Adhikari
This map shows the geographic impact of Sudip Kumar Adhikari'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 Sudip Kumar Adhikari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudip Kumar Adhikari more than expected).
Fields of papers citing papers by Sudip Kumar Adhikari
This network shows the impact of papers produced by Sudip Kumar Adhikari. 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 Sudip Kumar Adhikari. The network helps show where Sudip Kumar Adhikari may publish in the future.
Co-authors
The 7 scholars most cited alongside Sudip Kumar Adhikari, 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 | 2015 | 123 | |
| 2 | 2018 | 42 | |
| 3 | 2015 | 32 | |
| 4 | 2017 | 24 | |
| 5 | 2015 | 19 | |
| 6 | 2014 | 15 | |
| 7 | 2016 | 11 | |
| 8 | 2012 | 6 | |
| 9 | 2015 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2024 | 0 |
About Sudip Kumar Adhikari
Sudip Kumar Adhikari is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Neurology and Food Science, having authored 14 papers that have together received 285 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Image Retrieval and Classification Techniques (6 papers), Remote-Sensing Image Classification (5 papers), Medical Imaging Techniques and Applications (3 papers), Brain Tumor Detection and Classification (3 papers), Advanced Image Fusion Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Food Chemistry and Fat Analysis (1 paper). The work is most often cited by research in Neurology (100 citations), Computer Vision and Pattern Recognition (216 citations), Media Technology (78 citations), Artificial Intelligence (61 citations) and Radiology, Nuclear Medicine and Imaging (38 citations). Sudip Kumar Adhikari has collaborated with scholars based in India and United States. Frequent co-authors include Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri, Punam K. Saha, Sourav De, D. Basu and Prasenjit Dey. Their work appears in journals such as Applied Soft Computing, Journal of Chemometrics, Signal Image and Video Processing, IET Computer Vision and Informatica.
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.