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 5
- COVID-19 diagnosis using AI 3
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- AI in cancer detection 3
- Co-authors
- Arun K Mohan (1 shared paper)M. Ramya (4 shared papers)G. Ravindran (2 shared papers)A. Gopal (1 shared paper)
- Journals
- Indian Journal of Science and Technology (1 paper)Alexandria Engineering Journal (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
11 papers receiving 692 citations
Sumathi Poobal's Hit Papers
Peers
Comparison fields: 5 of 70
- Civil and Structural Engineering 552
- Geology 67
- Industrial and Manufacturing Engineering 63
- Ocean Engineering 66
- Mechanical Engineering 151
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 | 643 |
| 2 | 2015 | 43 | |
| 3 | 2008 | 11 | |
| 4 | 2019 | 10 | |
| 5 | 2017 | 7 | |
| 6 | 2012 | 5 | |
| 7 | 2007 | 5 | |
| 8 | 2017 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2006 | 3 | |
| 11 | 2018 | 2 |
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 11 papers that have together received 735 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Advanced Wireless Communication Techniques (2 papers), Wireless Communication Networks Research (2 papers), Advanced MIMO Systems Optimization (2 papers) and Concrete Corrosion and Durability (1 paper). The work is most often cited by research in Civil and Structural Engineering (552 citations), Geology (67 citations), Industrial and Manufacturing Engineering (63 citations), Ocean Engineering (66 citations) and Mechanical Engineering (151 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 Indian Journal of Science and Technology, Alexandria Engineering Journal, 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.