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Researcher · Siddhartha Medical College · India

Hima Deepthi Vankayalapati

Hima Deepthi Vankayalapati publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, on topics such as Face and Expression Recognition, Emotion and Mood Recognition and Speech and Audio Processing.

ORCID 0000-0002-0825-4211 OpenAlex
World rank
#4,962,007
of 7,710,434 ranked researchers
Rank in India
#135,257
of 280,097
Works
47
Citations
232
Citations per work
4.9
h-index
9
i10-index 7Top 52% in Computer Vision and Pattern Recognition
Hima Deepthi Vankayalapati

What does Hima Deepthi Vankayalapati research?

Hima Deepthi Vankayalapati's work is mostly in Computer Science (58%), Psychology (13%), Neuroscience (3%).

Physical Sciences: 27 works · 58.0% of their workComputer Science: 27 works · 58.0% of their workComputer Vision and Pattern Recognition: 12 works · 25.2% of their workArtificial Intelligence: 8 works · 17.6% of their workSignal Processing: 6 works · 11.8% of their workHuman-Computer Interaction: 2 works · 3.4% of their workEverything else: 12 works · 26.0% of their workSocial Sciences: 6 works · 12.6% of their workPsychology: 6 works · 12.6% of their workExperimental and Cognitive Psychology: 6 works · 12.6% of their workLife Sciences: 2 works · 3.4% of their workNeuroscience: 2 works · 3.4% of their workCognitive Neuroscience: 2 works · 3.4% of their workTHEIR WORKHima DeepthiVankayalapati47works
Life Sciences3%Physical Sciences58%Social Sciences13%

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 Science2758.0%
  2. Everything else1226.0%
    1. Psychology612.6%
    1. Neuroscience23.4%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Experimental and Cognitive Psychology13% of their works
  4. 4Signal Processing12% of their works
  5. 5Cognitive Neuroscience3% of their works
  6. 6Human-Computer Interaction3% of their works

Research topics

Which keywords describe Hima Deepthi Vankayalapati's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Feature Extraction, Convolutional Neural Networks, Dimensionality Reduction, Feature Selection, Neural Networks and Emotion Recognition.

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 21 words, with their numbers
  1. Deep Learning345 topics
  2. Face Recognition192 topics
  3. Feature Extraction162 topics
  4. Convolutional Neural Networks143 topics
  5. Dimensionality Reduction131 topic
  6. Feature Selection131 topic
  7. Neural Networks132 topics
  8. Emotion Recognition121 topic
  9. Multimodal Data121 topic
  10. Audio-Visual Speech Recognition81 topic
  11. Speech Enhancement81 topic
  12. Age Estimation61 topic
  13. Facial Landmark Detection61 topic
  14. Acoustic Modeling51 topic
  15. Backpropagation Learning51 topic
  16. Deep Neural Networks51 topic
  17. Self-Organizing Maps51 topic
  18. Biometric Recognition41 topic
  19. Security41 topic
  20. Image Denoising31 topic
  21. Sparse Representations31 topic

Where does Hima Deepthi Vankayalapati work?

Hima Deepthi Vankayalapati's main affiliation in the publication record is Siddhartha Medical College, India.

How many publications and citations does Hima Deepthi Vankayalapati have?

OpenAlex counts 47 works and 232 citations for Hima Deepthi Vankayalapati, an h-index of 9, ranking #4,962,007 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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