Science Explorer Interactive view Map

G. Mandorli

G. Mandorli publishes mostly in Nuclear and High Energy Physics and Artificial Intelligence, on topics such as Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research and Quantum Chromodynamics and Particle Interactions.

World rank
#1,551,357
of 1,633,909 ranked researchers
Rank in France
#92,135
of 96,116
Works
23
Citations
20
Citations per work
0.9

What does G. Mandorli research?

Nuclear and High Energy Physics: 97.0%Artificial Intelligence: 3.0%97%top field
Nuclear and High Energy Physics97.0%Artificial Intelligence3.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Nuclear and High Energy Physics97% of their works
  2. 2Artificial Intelligence3% of their works

Research topics

Which keywords describe G. Mandorli's research?

The keywords of their largest research topics: Lattice QCD, Dark Matter, Particle Physics, Heavy-Ion Collisions, Higgs Boson, High-Energy Collider, Quark-Gluon Plasma and charmonium.

Size is their works in the topics tagged with each word, from their 6 largest topics. Each links to the topic it comes from most.

All 15 words, with their numbers
  1. Lattice QCD192 topics
  2. Dark Matter122 topics
  3. Particle Physics122 topics
  4. Heavy-Ion Collisions111 topic
  5. Higgs Boson111 topic
  6. High-Energy Collider111 topic
  7. Quark-Gluon Plasma111 topic
  8. QCD81 topic
  9. charmonium81 topic
  10. Axions11 topic
  11. Cosmic Rays11 topic
  12. Particle Detectors11 topic
  13. Python11 topic
  14. Scientific Computing11 topic
  15. Silicon Detectors11 topic

Where does G. Mandorli work?

G. Mandorli's main affiliation in the publication record is Institute of Nuclear Physics of Lyon, France.

How many publications and citations does G. Mandorli have?

Science Explorer counts 23 works and 20 citations for G. Mandorli, ranking #1,551,357 of 1,633,909 researchers worldwide on the composite 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.

Other researchers named G. Mandorli

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