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Researcher · Carnegie Mellon University · United States

Deva Ramanan

Deva Ramanan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Explainable Artificial Intelligence (XAI), Multimodal Machine Learning Applications and Natural Language Processing Techniques.

ORCID 0009-0007-3773-0954 OpenAlex
World rank
#2,803,069
of 7,710,434 ranked researchers
Rank in United States
#813,225
of 1,627,098
Works
25
Citations
57
Citations per work
2.3
h-index
4
i10-index 2Top 90% in Artificial Intelligence
Deva Ramanan

What does Deva Ramanan research?

Deva Ramanan's work is mostly in Computer Science (54%), Neuroscience (8%), Engineering (8%).

Physical Sciences: 15 works · 61.3% of their workComputer Science: 13 works · 53.8% of their workArtificial Intelligence: 7 works · 29.9% of their workComputer Vision and Pattern Recognition: 6 works · 23.9% of their workEngineering: 2 works · 7.5% of their workBiomedical Engineering: 1 works · 4.5% of their workMechanical Engineering: 1 works · 3.0% of their workEverything else: 7 works · 28.2% of their workLife Sciences: 2 works · 7.5% of their workNeuroscience: 2 works · 7.5% of their workCognitive Neuroscience: 2 works · 7.5% of their workHealth Sciences: 1 works · 3.0% of their workMedicine: 1 works · 3.0% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.0% of their workTHEIR WORKDeva Ramanan25works
Life Sciences8%Physical Sciences61%Health Sciences3%

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 Science1353.8%
    2. Engineering27.5%
  2. Everything else728.2%
    1. Neuroscience27.5%
    1. Medicine13.0%
  1. 1Artificial Intelligence30% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Cognitive Neuroscience8% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Mechanical Engineering3% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Deva Ramanan's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Interpretable Models, Machine Learning Interpretability, Visual Question Answering, Action Recognition and Backpropagation Learning.

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 18 words, with their numbers
  1. Deep Learning134 topics
  2. Neural Networks124 topics
  3. Image Captioning41 topic
  4. Interpretable Models41 topic
  5. Machine Learning Interpretability41 topic
  6. Visual Question Answering41 topic
  7. Action Recognition31 topic
  8. Backpropagation Learning31 topic
  9. Generative Adversarial Networks31 topic
  10. Image Synthesis31 topic
  11. Neural Machine Translation31 topic
  12. Pose Estimation31 topic
  13. Self-Organizing Maps31 topic
  14. Statistical Machine Translation31 topic
  15. Bayesian Networks21 topic
  16. Causal Inference21 topic
  17. Cognition21 topic
  18. Physics of Mind21 topic

Where does Deva Ramanan work?

Deva Ramanan's main affiliation in the publication record is Carnegie Mellon University, United States.

How many publications and citations does Deva Ramanan have?

OpenAlex counts 25 works and 57 citations for Deva Ramanan, an h-index of 4, ranking #2,803,069 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.

Other researchers named Deva Ramanan

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.

Discussion

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