Science Explorer Interactive view Map

Gobinda Majumder

Gobinda Majumder 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 Computational Physics and Python Applications.

World rank
#1,185,601
of 1,633,909 ranked researchers
Rank in France
#72,740
of 96,116
Works
16
Citations
11
Citations per work
0.7

What does Gobinda Majumder research?

Nuclear and High Energy Physics: 88.9%Artificial Intelligence: 11.1%89%top field
Nuclear and High Energy Physics88.9%Artificial Intelligence11.1%

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 Physics89% of their works
  2. 2Artificial Intelligence11% of their works

Research topics

Which keywords describe Gobinda Majumder's research?

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

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. Dark Matter42 topics
  2. Particle Physics42 topics
  3. Higgs Boson31 topic
  4. High-Energy Collider31 topic
  5. Lattice QCD32 topics
  6. Heavy-Ion Collisions21 topic
  7. Quark-Gluon Plasma21 topic
  8. Axions11 topic
  9. Cosmic Rays11 topic
  10. Particle Detectors11 topic
  11. Python11 topic
  12. QCD11 topic
  13. Scientific Computing11 topic
  14. Silicon Detectors11 topic
  15. charmonium11 topic

Where does Gobinda Majumder work?

Gobinda Majumder's main affiliation in the publication record is Université de Haute-Alsace, France.

How many publications and citations does Gobinda Majumder have?

Science Explorer counts 16 works and 11 citations for Gobinda Majumder, ranking #1,185,601 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.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.