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Researcher · Sandia National Laboratories California · United States

Saibal De

Saibal De publishes mostly in Artificial Intelligence, Computational Mathematics and Atomic and Molecular Physics, and Optics, on topics such as Tensor decomposition and applications, Quantum Computing Algorithms and Architecture and Model Reduction and Neural Networks.

ORCID 0000-0003-4691-189X OpenAlex
World rank
#6,654,418
of 7,710,434 ranked researchers
Rank in United States
#1,542,352
of 1,627,098
Works
36
Citations
33
Citations per work
0.9
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Saibal De

What does Saibal De research?

Saibal De's work is mostly in Computer Science (27%), Physics and Astronomy (16%), Mathematics (12%).

Physical Sciences: 22 works · 62.3% of their workComputer Science: 10 works · 27.1% of their workArtificial Intelligence: 7 works · 20.3% of their workComputational Theory and Mathematics: 2 works · 6.8% of their workPhysics and Astronomy: 6 works · 16.2% of their workAtomic and Molecular Physics, and Optics: 3 works · 8.1% of their workStatistical and Nonlinear Physics: 3 works · 8.1% of their workMathematics: 4 works · 12.2% of their workComputational Mathematics: 4 works · 12.2% of their workEngineering: 2 works · 6.8% of their workComputational Mechanics: 2 works · 6.8% of their workEverything else: 14 works · 37.7% of their workTHEIR WORKSaibal De36works
Physical Sciences62%

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 Science1027.1%
    2. Physics and Astronomy616.2%
    3. Mathematics412.2%
    4. Engineering26.8%
  2. Everything else1437.7%
  1. 1Artificial Intelligence20% of their works
  2. 2Computational Mathematics12% of their works
  3. 3Atomic and Molecular Physics, and Optics8% of their works
  4. 4Statistical and Nonlinear Physics8% of their works
  5. 5Computational Theory and Mathematics7% of their works
  6. 6Computational Mechanics7% of their works

Research topics

Which keywords describe Saibal De's research?

The keywords of their largest research topics: Machine Learning, Multilinear Algebra, Tensor Decomposition, Deep Learning, Partial Differential Equations, Quantum Computation, Quantum Information and Entanglement.

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 17 words, with their numbers
  1. Machine Learning265 topics
  2. Multilinear Algebra91 topic
  3. Tensor Decomposition91 topic
  4. Deep Learning61 topic
  5. Partial Differential Equations61 topic
  6. Quantum Computation61 topic
  7. Quantum Information61 topic
  8. Entanglement51 topic
  9. Many-Body Localization51 topic
  10. Simulation Optimization51 topic
  11. Verification and Validation51 topic
  12. Evolutionary Algorithms31 topic
  13. Multiobjective Optimization31 topic
  14. Neuromorphic Photonics31 topic
  15. Photonic Reservoir Computing31 topic
  16. Python31 topic
  17. Scientific Computing31 topic

Where does Saibal De work?

Saibal De's main affiliation in the publication record is Sandia National Laboratories California, United States.

How many publications and citations does Saibal De have?

OpenAlex counts 36 works and 33 citations for Saibal De, an h-index of 3, ranking #6,654,418 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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