C. B. Chittineni
C. B. Chittineni publishes mostly in Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, on topics such as Remote-Sensing Image Classification, Neural Networks and Applications and Spectroscopy and Chemometric Analyses.
- World rank
- #6,347,710 of 7,710,434 ranked researchers
- Rank in United States
- #1,507,099 of 1,627,098
- Works
- 36
- Citations
- 105
- Citations per work
- 2.9
What does C. B. Chittineni research?
C. B. Chittineni's work is mostly in Computer Science (39%), Engineering (19%), Chemistry (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences2570.0%
- Computer Science1438.8%
- Engineering718.9%
- Chemistry26.7%
- Mathematics25.6%
- Everything else1130.0%
- 1Artificial Intelligence21% of their works
- 2Media Technology19% of their works
- 3Computer Vision and Pattern Recognition13% of their works
- 4Analytical Chemistry7% of their works
- 5Statistics and Probability6% of their works
- 6Information Systems4% of their works
Research topics
- Remote-Sensing Image Classification
- Neural Networks and Applications
- Spectroscopy and Chemometric Analyses
- Advanced Statistical Methods and Models
- Geochemistry and Geologic Mapping
- Face and Expression Recognition
- Advanced Computational Techniques in Science and Engineering
- Image Retrieval and Classification Techniques
Which keywords describe C. B. Chittineni's research?
The keywords of their largest research topics: Deep Learning, Support Vector Machines, Remote Sensing, Hyperspectral, Image Analysis, Principal Component Analysis, Hyperspectral Imaging and Neural Networks.
- Content-Based Image Retrieval
- IoT
- Face Recognition
- Compositional Data Analysis
- Multicollinearity
- Multivariate Calibration
- Local Binary Patterns
- Neural Networks
- Principal Component Analysis
- Hyperspectral
- Support Vector Machines
- Deep Learning
- Remote Sensing
- Image Analysis
- Hyperspectral Imaging
- Self-Organizing Maps
- Machine Learning
- Near-Infrared Spectroscopy
- Regression Analysis
- Dimensionality Reduction
- Healthcare
- Mineral Prospectivity
- Shape Matching
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 23 words, with their numbers
- Deep Learning232 topics
- Support Vector Machines233 topics
- Remote Sensing192 topics
- Hyperspectral151 topic
- Image Analysis151 topic
- Principal Component Analysis112 topics
- Hyperspectral Imaging102 topics
- Neural Networks81 topic
- Self-Organizing Maps81 topic
- Local Binary Patterns72 topics
- Machine Learning72 topics
- Multivariate Calibration61 topic
- Near-Infrared Spectroscopy61 topic
- Multicollinearity51 topic
- Regression Analysis51 topic
- Compositional Data Analysis41 topic
- Dimensionality Reduction41 topic
- Face Recognition41 topic
- Healthcare41 topic
- IoT41 topic
- Mineral Prospectivity41 topic
- Content-Based Image Retrieval31 topic
- Shape Matching31 topic
Where does C. B. Chittineni work?
C. B. Chittineni's main affiliation in the publication record is ConocoPhillips (United States), United States.
How many publications and citations does C. B. Chittineni have?
OpenAlex counts 36 works and 105 citations for C. B. Chittineni, an h-index of 5, ranking #6,347,710 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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