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Researcher · Nvidia (United States) · United States

Mohammad Amin Nabian

Mohammad Amin Nabian publishes mostly in Statistical and Nonlinear Physics, Computational Mechanics and Artificial Intelligence, on topics such as Model Reduction and Neural Networks, Neural Networks and Applications and Fluid Dynamics Simulations and Interactions.

ORCID 0000-0003-1824-4217 OpenAlex
World rank
#712,667
of 7,710,434 ranked researchers
Rank in United States
#240,528
of 1,627,098
Works
40
Citations
1.1k
Citations per work
26.9
h-index
14
i10-index 15Top 33% in Statistical and Nonlinear Physics
Mohammad Amin Nabian

What does Mohammad Amin Nabian research?

Mohammad Amin Nabian's work is mostly in Engineering (25%), Physics and Astronomy (18%), Computer Science (16%).

Physical Sciences: 23 works · 58.7% of their workEngineering: 10 works · 24.7% of their workComputational Mechanics: 7 works · 16.5% of their workMechanical Engineering: 3 works · 8.2% of their workPhysics and Astronomy: 7 works · 17.5% of their workStatistical and Nonlinear Physics: 7 works · 17.5% of their workComputer Science: 7 works · 16.5% of their workArtificial Intelligence: 5 works · 12.4% of their workComputational Theory and Mathematics: 2 works · 4.1% of their workEverything else: 14 works · 35.1% of their workSocial Sciences: 2 works · 6.2% of their workDecision Sciences: 2 works · 6.2% of their workStatistics, Probability and Uncertainty: 2 works · 6.2% of their workTHEIR WORKMohammad AminNabian40works
Physical Sciences59%Social Sciences6%

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. Engineering1024.7%
    2. Physics and Astronomy717.5%
    3. Computer Science716.5%
  2. Everything else1435.1%
    1. Decision Sciences26.2%
  1. 1Statistical and Nonlinear Physics18% of their works
  2. 2Computational Mechanics16% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Mechanical Engineering8% of their works
  5. 5Statistics, Probability and Uncertainty6% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Mohammad Amin Nabian's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Model Reduction, Partial Differential Equations, Fluid-Structure Interaction, Immersed Boundary Method, Lattice Boltzmann Method and 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 19 words, with their numbers
  1. Deep Learning253 topics
  2. Machine Learning233 topics
  3. Model Reduction171 topic
  4. Partial Differential Equations171 topic
  5. Fluid-Structure Interaction102 topics
  6. Immersed Boundary Method51 topic
  7. Lattice Boltzmann Method51 topic
  8. Neural Networks51 topic
  9. SPH Method51 topic
  10. Self-Organizing Maps51 topic
  11. Sensitivity Analysis51 topic
  12. Smoothed Particle Hydrodynamics51 topic
  13. Uncertainty Quantification51 topic
  14. Evolutionary Algorithms41 topic
  15. Multiobjective Optimization41 topic
  16. Gaussian Processes31 topic
  17. Python31 topic
  18. Scientific Computing31 topic
  19. Variational Inference31 topic

Where does Mohammad Amin Nabian work?

Mohammad Amin Nabian's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Mohammad Amin Nabian have?

OpenAlex counts 40 works and 1,074 citations for Mohammad Amin Nabian, an h-index of 14, ranking #712,667 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.

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