S.C. Cheran
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- AI in cancer detection 8
- Computational Physics and Python Applications 2
- Neural Networks and Applications 1
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 4
- Infrared Thermography in Medicine 2
- Co-authors
- R. Bellotti (8 shared papers)Sabina Tangaro (8 shared papers)Alessandra Retico (6 shared papers)Donato Cascio (5 shared papers)Francesco De Carlo (8 shared papers)G. Gargano (7 shared papers)Giovanni Luca Masala (7 shared papers)P. Cerello (8 shared papers)
- Journals
- Medical Physics (1 paper)IEEE Transactions on Nuclear Science (1 paper)Physica Medica (1 paper)Lecture notes in computer science (1 paper)Nova Science Publishers (Nova Science Publishers, Inc.) (1 paper)
In The Last Decade
S.C. Cheran
12 papers receiving 247 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 160
- Artificial Intelligence 158
- Computer Vision and Pattern Recognition 99
- Pulmonary and Respiratory Medicine 99
- Neurology 22
Countries citing papers authored by S.C. Cheran
This map shows the geographic impact of S.C. Cheran'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.C. Cheran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.C. Cheran more than expected).
Fields of papers citing papers by S.C. Cheran
This network shows the impact of papers produced by S.C. Cheran. 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.C. Cheran. The network helps show where S.C. Cheran may publish in the future.
Co-authors
The 25 scholars most cited alongside S.C. Cheran, 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 | 2006 | 101 | |
| 2 | 2007 | 91 | |
| 3 | 2005 | 16 | |
| 4 | 2005 | 15 | |
| 5 | 2005 | 14 | |
| 6 | 2005 | 11 | |
| 7 | 2006 | 10 | |
| 8 | Early diagnosis of Alzheimer's disease using a grid implementation of statistical parametric mapping analysis. | 2006 | 9 |
| 9 | 2005 | 8 | |
| 10 | 2007 | 4 | |
| 11 | 2005 | 3 | |
| 12 | DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION | 2005 | 2 |
| 13 | Mass lesion detection in mammographic images using Haralik textural features | 2006 | 1 |
| 14 | 2006 | 0 |
About S.C. Cheran
S.C. Cheran is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Computer Networks and Communications, having authored 14 papers that have together received 285 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Computational Physics and Python Applications (2 papers), Infrared Thermography in Medicine (2 papers) and Neural Networks and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (160 citations), Artificial Intelligence (158 citations), Computer Vision and Pattern Recognition (99 citations), Pulmonary and Respiratory Medicine (99 citations) and Neurology (22 citations). S.C. Cheran has collaborated with scholars based in Italy and Cuba. Frequent co-authors include R. Bellotti, Sabina Tangaro, Alessandra Retico, Donato Cascio, Francesco De Carlo, G. Gargano, Giovanni Luca Masala, P. Cerello, P. Oliva and Giorgio De Nunzio. Their work appears in journals such as Medical Physics, IEEE Transactions on Nuclear Science, Physica Medica, Lecture notes in computer science and Nova Science Publishers (Nova Science Publishers, Inc.).
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.