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Researcher · University of Maryland, College Park · United States

Subhashree Radhakrishnan

Subhashree Radhakrishnan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology, on topics such as Multimodal Machine Learning Applications, Advanced Neural Network Applications and Natural Language Processing Techniques.

OpenAlex
World rank
#2,109,117
of 7,710,434 ranked researchers
Rank in United States
#636,334
of 1,627,098
Works
22
Citations
172
Citations per work
7.8
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Subhashree Radhakrishnan

What does Subhashree Radhakrishnan research?

Subhashree Radhakrishnan's work is mostly in Computer Science (78%), Engineering (7%), Psychology (5%).

Physical Sciences: 19 works · 84.3% of their workComputer Science: 17 works · 77.5% of their workComputer Vision and Pattern Recognition: 13 works · 58.6% of their workArtificial Intelligence: 3 works · 15.5% of their workComputer Networks and Communications: 1 works · 3.4% of their workEngineering: 1 works · 6.8% of their workAerospace Engineering: 1 works · 3.4% of their workIndustrial and Manufacturing Engineering: 1 works · 3.4% of their workEverything else: 2 works · 10.5% of their workSocial Sciences: 1 works · 5.2% of their workPsychology: 1 works · 5.2% of their workSocial Psychology: 1 works · 5.2% of their workTHEIR WORKSubhashreeRadhakrishnan22works
Physical Sciences84%Social Sciences5%

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 Science1777.5%
    2. Engineering16.8%
  2. Everything else210.5%
    1. Psychology15.2%
  1. 1Computer Vision and Pattern Recognition59% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Social Psychology5% of their works
  4. 4Computer Networks and Communications3% of their works
  5. 5Aerospace Engineering3% of their works
  6. 6Industrial and Manufacturing Engineering3% of their works

Research topics

Which keywords describe Subhashree Radhakrishnan's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Representation Learning, Unsupervised Learning, Convolutional Neural Networks and Image 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 20 words, with their numbers
  1. Deep Learning245 topics
  2. Neural Networks173 topics
  3. Image Captioning121 topic
  4. Visual Question Answering121 topic
  5. Representation Learning62 topics
  6. Unsupervised Learning62 topics
  7. Convolutional Neural Networks41 topic
  8. Image Recognition41 topic
  9. Action Recognition31 topic
  10. Domain Adaptation31 topic
  11. Generative Adversarial Networks31 topic
  12. Image Synthesis31 topic
  13. Neural Machine Translation31 topic
  14. Pose Estimation31 topic
  15. Statistical Machine Translation31 topic
  16. Transfer Learning31 topic
  17. Constraint Optimization21 topic
  18. Distributed Algorithms21 topic
  19. Reinforcement Learning21 topic
  20. Robotics21 topic

Where does Subhashree Radhakrishnan work?

Subhashree Radhakrishnan's main affiliation in the publication record is University of Maryland, College Park, United States.

How many publications and citations does Subhashree Radhakrishnan have?

OpenAlex counts 22 works and 172 citations for Subhashree Radhakrishnan, an h-index of 5, ranking #2,109,117 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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