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Researcher · University of California, Irvine · United States

Alexander Shmakov

Alexander Shmakov publishes mostly in Nuclear and High Energy Physics, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Particle physics theoretical and experimental studies, Reinforcement Learning in Robotics and High-Energy Particle Collisions Research.

ORCID 0000-0002-7440-9525 OpenAlex
World rank
#2,250,522
of 7,710,434 ranked researchers
Rank in United States
#673,301
of 1,627,098
Works
24
Citations
409
Citations per work
17.0
h-index
10
i10-index 12Top 71% in Nuclear and High Energy Physics
Alexander Shmakov

What does Alexander Shmakov research?

Alexander Shmakov's work is mostly in Computer Science (37%), Physics and Astronomy (26%), Neuroscience (3%).

Physical Sciences: 16 works · 66.3% of their workComputer Science: 9 works · 37.0% of their workArtificial Intelligence: 6 works · 26.2% of their workComputer Vision and Pattern Recognition: 2 works · 7.7% of their workComputational Theory and Mathematics: 1 works · 3.1% of their workPhysics and Astronomy: 6 works · 26.2% of their workNuclear and High Energy Physics: 6 works · 26.2% of their workEngineering: 1 works · 3.1% of their workComputational Mechanics: 1 works · 3.1% of their workEverything else: 7 works · 30.6% of their workLife Sciences: 1 works · 3.1% of their workNeuroscience: 1 works · 3.1% of their workCellular and Molecular Neuroscience: 1 works · 3.1% of their workTHEIR WORKAlexander Shmakov24works
Life Sciences3%Physical Sciences66%

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 Science937.0%
    2. Physics and Astronomy626.2%
    3. Engineering13.1%
  2. Everything else730.6%
    1. Neuroscience13.1%
  1. 1Nuclear and High Energy Physics26% of their works
  2. 2Artificial Intelligence26% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Cellular and Molecular Neuroscience3% of their works
  5. 5Computational Theory and Mathematics3% of their works
  6. 6Computational Mechanics3% of their works

Research topics

Which keywords describe Alexander Shmakov's research?

The keywords of their largest research topics: High-Energy Collider, Particle Physics, Machine Learning, Deep Learning, Heavy-Ion Collisions, Quark-Gluon Plasma, Reinforcement Learning and Python.

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. High-Energy Collider71 topic
  2. Particle Physics71 topic
  3. Machine Learning62 topics
  4. Deep Learning51 topic
  5. Heavy-Ion Collisions51 topic
  6. Quark-Gluon Plasma51 topic
  7. Reinforcement Learning51 topic
  8. Python41 topic
  9. Scientific Computing41 topic
  10. Monte Carlo Tree Search31 topic
  11. Procedural Content Generation31 topic
  12. Classification21 topic
  13. Electrode Arrays21 topic
  14. Gene Therapy21 topic
  15. Genetic Programming21 topic
  16. Neural Stimulation21 topic
  17. Retinitis Pigmentosa21 topic

Where does Alexander Shmakov work?

Alexander Shmakov's main affiliation in the publication record is University of California, Irvine, United States.

How many publications and citations does Alexander Shmakov have?

OpenAlex counts 24 works and 409 citations for Alexander Shmakov, an h-index of 10, ranking #2,250,522 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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