A. Jayachandran
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
-
- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Medical Image Segmentation Techniques 8
- Digital Imaging for Blood Diseases 7
- Neurology 15
- Brain Tumor Detection and Classification 15
- Co-authors
- R. Dhanasekaran (8 shared papers)Thinagaran Perumal (3 shared papers)Alwin Poulose (1 shared paper)
In The Last Decade
A. Jayachandran
27 papers receiving 247 citations
Peers
Comparison fields: 5 of 46
- Neurology 146
- Computer Vision and Pattern Recognition 170
- Ophthalmology 52
- Radiology, Nuclear Medicine and Imaging 117
- Health Information Management 12
Countries citing papers authored by A. Jayachandran
This map shows the geographic impact of A. Jayachandran'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 A. Jayachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Jayachandran more than expected).
Fields of papers citing papers by A. Jayachandran
This network shows the impact of papers produced by A. Jayachandran. 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 A. Jayachandran. The network helps show where A. Jayachandran may publish in the future.
Co-authors
The 3 scholars most cited alongside A. Jayachandran, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 30 | |
| 2 | 2018 | 29 | |
| 3 | 2015 | 26 | |
| 4 | 2014 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2013 | 18 | |
| 7 | 2014 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2013 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About A. Jayachandran
A. Jayachandran is a scholar working on Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Urban Studies, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (15 papers), Retinal Imaging and Analysis (9 papers), Medical Image Segmentation Techniques (8 papers), Digital Imaging for Blood Diseases (7 papers), Advanced Computing and Algorithms (4 papers), AI in cancer detection (3 papers), Machine Learning and ELM (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (146 citations), Computer Vision and Pattern Recognition (170 citations), Ophthalmology (52 citations), Radiology, Nuclear Medicine and Imaging (117 citations) and Health Information Management (12 citations). A. Jayachandran has collaborated with scholars based in India and Pakistan. Frequent co-authors include R. Dhanasekaran, Thinagaran Perumal and Alwin Poulose. Their work appears in journals such as International Journal of Imaging Systems and Technology, Multimedia Tools and Applications, International Journal of Fuzzy Systems, Journal of Ambient Intelligence and Humanized Computing and Knowledge and Information Systems.
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.