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Researcher · University of Maryland, College Park · United States

Saksham Suri

Saksham Suri publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Generative Adversarial Networks and Image Synthesis, Advanced Neural Network Applications and Domain Adaptation and Few-Shot Learning.

OpenAlex
World rank
#2,303,213
of 7,710,434 ranked researchers
Rank in United States
#686,974
of 1,627,098
Works
26
Citations
211
Citations per work
8.1
h-index
7
i10-index 5Top 69% in Computer Vision and Pattern Recognition
Saksham Suri

What does Saksham Suri research?

Saksham Suri's work is mostly in Computer Science (88%), Engineering (3%).

Physical Sciences: 24 works · 90.6% of their workComputer Science: 23 works · 87.9% of their workComputer Vision and Pattern Recognition: 17 works · 64.9% of their workArtificial Intelligence: 2 works · 9.5% of their workSignal Processing: 2 works · 8.1% of their workComputer Networks and Communications: 1 works · 2.7% of their workInformation Systems: 1 works · 2.7% of their workEngineering: 1 works · 2.7% of their workControl and Systems Engineering: 1 works · 2.7% of their workEverything else: 2 works · 9.4% of their workTHEIR WORKSaksham Suri26works
Physical Sciences91%

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 Science2387.9%
    2. Engineering12.7%
  2. Everything else29.4%
  1. 1Computer Vision and Pattern Recognition65% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Signal Processing8% of their works
  4. 4Information Systems3% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Saksham Suri's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Convolutional Neural Networks, Representation Learning, Neural Networks, Generative Adversarial Networks, Image Synthesis and Convolutional 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.

All 23 words, with their numbers
  1. Deep Learning245 topics
  2. Unsupervised Learning173 topics
  3. Convolutional Neural Networks133 topics
  4. Representation Learning132 topics
  5. Neural Networks112 topics
  6. Generative Adversarial Networks81 topic
  7. Image Synthesis81 topic
  8. Convolutional Networks72 topics
  9. Image Recognition71 topic
  10. Object Detection71 topic
  11. Pose Estimation62 topics
  12. Domain Adaptation51 topic
  13. Transfer Learning51 topic
  14. Depth Estimation41 topic
  15. Stereo Vision41 topic
  16. Action Recognition31 topic
  17. Face Recognition31 topic
  18. Facial Landmark Detection31 topic
  19. Feature Matching31 topic
  20. Handwriting Recognition31 topic
  21. Local Descriptors31 topic
  22. Spatiotemporal Features31 topic
  23. Text Detection31 topic

Where does Saksham Suri work?

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

How many publications and citations does Saksham Suri have?

OpenAlex counts 26 works and 211 citations for Saksham Suri, an h-index of 7, ranking #2,303,213 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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