Sumathi Poobal
Impact in
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- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Structural Health Monitoring Techniques
- Asphalt Pavement Performance Evaluation
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 3
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- AI in cancer detection 4
- Co-authors
- Arun K Mohan (1 shared paper)M. Ramya (5 shared papers)G. Ravindran (2 shared papers)A. Gopal (1 shared paper)
- Journals
- Alexandria Engineering Journal (1 paper)Indian Journal of Science and Technology (1 paper)Cluster Computing (2 papers)FME Transaction (1 paper)Indian Journal of Public Health Research & Development (1 paper)
In The Last Decade
Sumathi Poobal
12 papers receiving 757 citations
Sumathi Poobal's Hit Papers
Peers
Comparison fields: 5 of 75
- Civil and Structural Engineering 595
- Geology 73
- Industrial and Manufacturing Engineering 64
- Ocean Engineering 73
- Mechanical Engineering 166
Countries citing papers authored by Sumathi Poobal
This map shows the geographic impact of Sumathi Poobal'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 Sumathi Poobal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumathi Poobal more than expected).
Fields of papers citing papers by Sumathi Poobal
This network shows the impact of papers produced by Sumathi Poobal. 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 Sumathi Poobal. The network helps show where Sumathi Poobal may publish in the future.
Co-authors
The 4 scholars most cited alongside Sumathi Poobal, 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 | Crack detection using image processing: A critical review and analysis Hit paper breakdown → | 2017 | 695 |
| 2 | 2015 | 49 | |
| 3 | 2019 | 13 | |
| 4 | 2008 | 11 | |
| 5 | 2017 | 7 | |
| 6 | 2012 | 6 | |
| 7 | 2007 | 5 | |
| 8 | 2006 | 3 | |
| 9 | 2017 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2019 | 1 |
About Sumathi Poobal
Sumathi Poobal is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 799 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (3 papers), Wireless Communication Networks Research (2 papers), Advanced Wireless Communication Techniques (2 papers), Advanced MIMO Systems Optimization (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Civil and Structural Engineering (595 citations), Geology (73 citations), Industrial and Manufacturing Engineering (64 citations), Ocean Engineering (73 citations) and Mechanical Engineering (166 citations). Sumathi Poobal has collaborated with scholars based in India and Spain. Frequent co-authors include Arun K Mohan, M. Ramya, G. Ravindran and A. Gopal. Their work appears in journals such as Alexandria Engineering Journal, Indian Journal of Science and Technology, Cluster Computing, FME Transaction and Indian Journal of Public Health Research & Development.
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.