Sumathi Poobal

1.1k citations
12 papers · 828 · 1 hit paper · h-index 6

Impact in

Papers in

Sumathi Poobal

11 papers receiving 778 citations

Sumathi Poobal's Hit Papers

Crack detection using image processing: A critical review and analysis 2017 · 725 citations
7250+3+6Years since publication200400600

Peers

Sumathi Poobal
Comparison fields: 5 of 57
  • Civil and Structural Engineering 540
  • Industrial and Manufacturing Engineering 57
  • Geology 32
  • Computer Vision and Pattern Recognition 104
  • Computational Mathematics 2
Replace Rahmat Ali with:
Rahmat Ali Canada
Kyle Dunphy Canada
Enhui Yang China
Arun K Mohan India
Baoxian Li China
Zhenhua Nie China
Tatsuro Yamane Japan
Anh Duc Le Japan
Yizhou Lin China
Sumathi Poobal relative to Rahmat Ali Canada Rahmat Ali's profile →
Citations per field
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Rahmat Ali · 1×
Citations per year

Countries citing papers authored by Sumathi Poobal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 3 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.

Border = papers with Sumathi Poobal Line = papers co-authored together Sumathi Poobal links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Crack detection using image processing: A critical review and analysis
Hit paper breakdown →
2017725
2 201549
3 201914
4 200810
5 20177
6 20126
7 20075
8 20063
9 20173
10 20183
11 20183
12 20190

About Sumathi Poobal

Sumathi Poobal is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Analytical Chemistry, having authored 12 papers that have together received 828 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers), Advanced Data Compression Techniques (3 papers), Smart Agriculture and AI (1 paper), Industrial Vision Systems and Defect Detection (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Cognitive Radio Networks and Spectrum Sensing (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Civil and Structural Engineering (540 citations), Industrial and Manufacturing Engineering (57 citations), Geology (32 citations), Computer Vision and Pattern Recognition (104 citations) and Computational Mathematics (2 citations). Sumathi Poobal has collaborated with scholars based in India and Spain. Frequent co-authors include Arun K Mohan, 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.

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