Suman Chakravarti
Suman Chakravarti publishes mostly in Computational Theory and Mathematics, Molecular Biology and Spectroscopy, on topics such as Computational Drug Discovery Methods, Metabolomics and Mass Spectrometry Studies and Machine Learning in Materials Science.
- World rank
- #2,912,197 of 7,710,434 ranked researchers
- Rank in United States
- #840,047 of 1,627,098
- Works
- 56
- Citations
- 937
- Citations per work
- 16.7
What does Suman Chakravarti research?
Suman Chakravarti's work is mostly in Computer Science (25%), Biochemistry, Genetics and Molecular Biology (16%), Chemistry (13%).
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
- Physical Sciences2849.9%
- Computer Science1425.4%
- Chemistry713.3%
- Materials Science47.0%
- Environmental Science24.2%
- Everything else1934.6%
- Life Sciences915.5%
- 1Computational Theory and Mathematics25% of their works
- 2Molecular Biology16% of their works
- 3Spectroscopy7% of their works
- 4Materials Chemistry7% of their works
- 5Organic Chemistry6% of their works
- 6Environmental Chemistry4% of their works
Research topics
- Computational Drug Discovery Methods
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Materials Science
- Analytical Chemistry and Chromatography
- Chemistry and Chemical Engineering
- Carcinogens and Genotoxicity Assessment
- Synthesis and biological activity
- Drug Transport and Resistance Mechanisms
Which keywords describe Suman Chakravarti's research?
The keywords of their largest research topics: Medicinal Chemistry, Machine Learning, Molecular Docking, Virtual Screening, High-Throughput, Mass Spectrometry, Materials Informatics and Metabolomics.
- Multidrug Resistance
- Genotoxicity Testing
- Anticancer Agents
- Sustainable Chemistry
- Liquid Chromatography
- Metabolomics
- Mass Spectrometry
- Virtual Screening
- Machine Learning
- Medicinal Chemistry
- Molecular Docking
- High-Throughput
- Materials Informatics
- Chiral Separation
- Solvent Selection
- ATP-dependent Transporters
- Comet Assay
- Heterocyclic Compounds
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 18 words, with their numbers
- Medicinal Chemistry463 topics
- Machine Learning452 topics
- Molecular Docking361 topic
- Virtual Screening361 topic
- High-Throughput91 topic
- Mass Spectrometry91 topic
- Materials Informatics91 topic
- Metabolomics91 topic
- Chiral Separation81 topic
- Liquid Chromatography81 topic
- Solvent Selection61 topic
- Sustainable Chemistry61 topic
- ATP-dependent Transporters41 topic
- Anticancer Agents41 topic
- Comet Assay41 topic
- Genotoxicity Testing41 topic
- Heterocyclic Compounds41 topic
- Multidrug Resistance41 topic
Where does Suman Chakravarti work?
Suman Chakravarti's main affiliation in the publication record is Steelcase (United States), United States.
How many publications and citations does Suman Chakravarti have?
OpenAlex counts 56 works and 937 citations for Suman Chakravarti, an h-index of 15, ranking #2,912,197 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.
Discussion
Ask a question or share a note about Suman Chakravarti. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.