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Researcher · JSS Science and Technology University · India

S. V. Aruna Kumar

S. V. Aruna Kumar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Image Retrieval and Classification Techniques, Face and Expression Recognition and Text and Document Classification Technologies.

ORCID 0000-0002-8953-2921 OpenAlex
World rank
#2,255,448
of 7,710,434 ranked researchers
Rank in India
#40,816
of 280,097
Works
30
Citations
567
Citations per work
18.9
h-index
10
i10-index 13Top 45% in Computer Vision and Pattern Recognition
S. V. Aruna Kumar

What does S. V. Aruna Kumar research?

S. V. Aruna Kumar's work is mostly in Computer Science (63%), Engineering (5%), Social Sciences (4%).

Physical Sciences: 21 works · 68.4% of their workComputer Science: 19 works · 63.3% of their workComputer Vision and Pattern Recognition: 9 works · 31.6% of their workArtificial Intelligence: 6 works · 19.0% of their workHuman-Computer Interaction: 2 works · 7.6% of their workSignal Processing: 2 works · 5.1% of their workEngineering: 2 works · 5.1% of their workControl and Systems Engineering: 2 works · 5.1% of their workEverything else: 8 works · 27.8% of their workSocial Sciences: 1 works · 3.8% of their workSocial Sciences: 1 works · 3.8% of their workUrban Studies: 1 works · 3.8% of their workTHEIR WORKS. V. Aruna Kumar30works
Physical Sciences68%Social Sciences4%

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 Science1963.3%
    2. Engineering25.1%
  2. Everything else827.8%
    1. Social Sciences13.8%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Human-Computer Interaction8% of their works
  4. 4Signal Processing5% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Urban Studies4% of their works

Research topics

Which keywords describe S. V. Aruna Kumar's research?

The keywords of their largest research topics: Local Binary Patterns, Feature Selection, Deep Learning, Machine Learning, Content-Based Image Retrieval, Dimensionality Reduction, Face Recognition and 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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Local Binary Patterns162 topics
  2. Feature Selection142 topics
  3. Deep Learning113 topics
  4. Machine Learning112 topics
  5. Content-Based Image Retrieval81 topic
  6. Dimensionality Reduction81 topic
  7. Face Recognition81 topic
  8. Shape Matching81 topic
  9. Image Segmentation72 topics
  10. Multi-label Learning61 topic
  11. Text Classification61 topic
  12. Gesture Recognition41 topic
  13. Graph Cuts41 topic
  14. Human-Computer Interaction41 topic
  15. Medical Image Analysis41 topic
  16. Brain Tumor31 topic
  17. Clustering Algorithms31 topic
  18. K-means31 topic
  19. MRI31 topic
  20. Multivariate Calibration31 topic
  21. Near-Infrared Spectroscopy31 topic

Where does S. V. Aruna Kumar work?

S. V. Aruna Kumar's main affiliation in the publication record is JSS Science and Technology University, India.

How many publications and citations does S. V. Aruna Kumar have?

OpenAlex counts 30 works and 567 citations for S. V. Aruna Kumar, an h-index of 10, ranking #2,255,448 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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