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Researcher · Lawrence Livermore National Laboratory · United States

Chandrika Kamath

Chandrika Kamath publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Data Mining Algorithms and Applications, Neural Networks and Applications and Machine Learning and Data Classification.

ORCID 0000-0002-0188-8174 OpenAlex
World rank
#997,493
of 7,710,434 ranked researchers
Rank in United States
#325,763
of 1,627,098
Works
172
Citations
7.2k
Citations per work
42.2
h-index
32
i10-index 54Top 4.3% in Computer Vision and Pattern Recognition
Chandrika Kamath

What does Chandrika Kamath research?

Chandrika Kamath's work is mostly in Computer Science (51%), Engineering (4%).

Physical Sciences: 95 works · 55.2% of their workComputer Science: 88 works · 51.0% of their workArtificial Intelligence: 30 works · 17.7% of their workComputer Vision and Pattern Recognition: 30 works · 17.7% of their workInformation Systems: 11 works · 6.6% of their workSignal Processing: 8 works · 4.8% of their workComputational Theory and Mathematics: 7 works · 4.2% of their workEngineering: 7 works · 4.2% of their workElectrical and Electronic Engineering: 7 works · 4.2% of their workEverything else: 77 works · 44.8% of their workTHEIR WORKChandrika Kamath172works
Physical Sciences55%

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
    1. Computer Science8851.0%
    2. Engineering74.2%
  2. Everything else7744.8%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Information Systems7% of their works
  4. 4Signal Processing5% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Chandrika Kamath's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Data Mining, Frequent Patterns, Additive Manufacturing, Backpropagation Learning, Self-Organizing Maps and Hyperparameter Optimization.

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 19 words, with their numbers
  1. Deep Learning514 topics
  2. Neural Networks272 topics
  3. Data Mining251 topic
  4. Frequent Patterns251 topic
  5. Additive Manufacturing202 topics
  6. Backpropagation Learning151 topic
  7. Self-Organizing Maps151 topic
  8. Hyperparameter Optimization131 topic
  9. Image Denoising131 topic
  10. Noisy Labels131 topic
  11. Sparse Representations131 topic
  12. Electricity Price Forecasting121 topic
  13. Load Forecasting121 topic
  14. Clustering111 topic
  15. Time Series111 topic
  16. 3D Printing101 topic
  17. Materials101 topic
  18. Metallic Components101 topic
  19. Selective Laser Melting101 topic

Where does Chandrika Kamath work?

Chandrika Kamath's main affiliation in the publication record is Lawrence Livermore National Laboratory, United States.

How many publications and citations does Chandrika Kamath have?

OpenAlex counts 172 works and 7,250 citations for Chandrika Kamath, an h-index of 32, ranking #997,493 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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