Subhabrata Majumdar
Subhabrata Majumdar publishes mostly in Artificial Intelligence, Astronomy and Astrophysics and Statistics and Probability, on topics such as Computational Drug Discovery Methods, Statistical Methods and Inference and Galaxies: Formation, Evolution, Phenomena.
- World rank
- #4,263,947 of 7,710,434 ranked researchers
- Rank in United States
- #1,147,924 of 1,627,098
- Works
- 87
- Citations
- 711
- Citations per work
- 8.2
What does Subhabrata Majumdar research?
Subhabrata Majumdar's work is mostly in Computer Science (22%), Physics and Astronomy (17%), Mathematics (9%).
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
- Everything else4248.1%
- Physical Sciences4147.6%
- Computer Science1922.1%
- Physics and Astronomy1416.6%
- Mathematics88.9%
- Life Sciences44.3%
- 1Artificial Intelligence17% of their works
- 2Astronomy and Astrophysics13% of their works
- 3Statistics and Probability9% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Molecular Biology4% of their works
- 6Instrumentation3% of their works
Research topics
- Computational Drug Discovery Methods
- Statistical Methods and Inference
- Galaxies: Formation, Evolution, Phenomena
- Cosmology and Gravitation Theories
- Advanced Statistical Methods and Models
- Astronomy and Astrophysical Research
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
Which keywords describe Subhabrata Majumdar's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Regularization, Variable Selection, Cosmology, Galaxies and Cosmological Parameters.
- Differential Privacy
- Adversarial Examples
- Regression Analysis
- Astronomical Instrumentation
- Cosmological Parameters
- Cosmology
- Regularization
- Molecular Docking
- Machine Learning
- Virtual Screening
- Variable Selection
- Galaxies
- Dark Energy
- Multicollinearity
- Spectrograph
- Deep Learning
- Federated Learning
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 17 words, with their numbers
- Machine Learning223 topics
- Molecular Docking121 topic
- Virtual Screening121 topic
- Regularization111 topic
- Variable Selection111 topic
- Cosmology101 topic
- Galaxies101 topic
- Cosmological Parameters91 topic
- Dark Energy91 topic
- Astronomical Instrumentation81 topic
- Multicollinearity81 topic
- Regression Analysis81 topic
- Spectrograph81 topic
- Adversarial Examples51 topic
- Deep Learning51 topic
- Differential Privacy51 topic
- Federated Learning51 topic
Where does Subhabrata Majumdar work?
Subhabrata Majumdar's main affiliation in the publication record is University of Minnesota, Duluth, United States.
How many publications and citations does Subhabrata Majumdar have?
OpenAlex counts 87 works and 711 citations for Subhabrata Majumdar, an h-index of 15, ranking #4,263,947 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.
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