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Researcher · Université Grenoble Alpes · France

Karteek Alahari

Karteek Alahari publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0002-1838-5936 OpenAlex
World rank
#160,044
of 7,710,434 ranked researchers
Rank in France
#11,111
of 324,115
Works
145
Citations
7.4k
Citations per work
50.8
h-index
33
i10-index 45Top 4% in Computer Vision and Pattern Recognition
Karteek Alahari

What does Karteek Alahari research?

Karteek Alahari's work is mostly in Computer Science (81%), Engineering (7%), Medicine (2%).

Physical Sciences: 128 works · 88.0% of their workComputer Science: 118 works · 81.1% of their workComputer Vision and Pattern Recognition: 87 works · 59.9% of their workArtificial Intelligence: 29 works · 20.2% of their workSignal Processing: 1 works · 1.0% of their workEngineering: 10 works · 6.9% of their workMedia Technology: 7 works · 4.7% of their workAerospace Engineering: 3 works · 2.2% of their workEverything else: 15 works · 10.3% of their workHealth Sciences: 2 works · 1.7% of their workMedicine: 2 works · 1.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 1.7% of their workTHEIR WORKKarteek Alahari145works
Physical Sciences88%Health Sciences2%

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 Science11881.1%
    2. Engineering106.9%
  2. Everything else1510.3%
    1. Medicine21.7%
  1. 1Computer Vision and Pattern Recognition60% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Media Technology5% of their works
  4. 4Aerospace Engineering2% of their works
  5. 5Radiology, Nuclear Medicine and Imaging2% of their works
  6. 6Signal Processing1% of their works

Research topics

Which keywords describe Karteek Alahari's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Convolutional Networks, Representation Learning, Image Captioning, Visual Question Answering and Convolutional Neural Networks.

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 22 words, with their numbers
  1. Deep Learning1686 topics
  2. Unsupervised Learning643 topics
  3. Neural Networks572 topics
  4. Convolutional Networks512 topics
  5. Representation Learning512 topics
  6. Image Captioning411 topic
  7. Visual Question Answering411 topic
  8. Convolutional Neural Networks392 topics
  9. Action Recognition381 topic
  10. Pose Estimation381 topic
  11. Domain Adaptation351 topic
  12. Transfer Learning351 topic
  13. Feature Matching341 topic
  14. Local Descriptors341 topic
  15. Image Recognition201 topic
  16. Object Detection201 topic
  17. Object Tracking191 topic
  18. Visual Tracking191 topic
  19. Generative Adversarial Networks161 topic
  20. Image Synthesis161 topic
  21. Depth Estimation131 topic
  22. Stereo Vision131 topic

Where does Karteek Alahari work?

Karteek Alahari's main affiliation in the publication record is Université Grenoble Alpes, France.

How many publications and citations does Karteek Alahari have?

OpenAlex counts 145 works and 7,363 citations for Karteek Alahari, an h-index of 33, ranking #160,044 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.

Discussion

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