Roberto Todeschini
Roberto Todeschini publishes mostly in Computational Theory and Mathematics, Organic Chemistry and Analytical Chemistry, on topics such as Computational Drug Discovery Methods, Spectroscopy and Chemometric Analyses and Analytical Chemistry and Chromatography.
- World rank
- #457,578 of 7,710,434 ranked researchers
- Rank in Italy
- #12,607 of 242,206
- Works
- 340
- Citations
- 22k
- Citations per work
- 64.6
What does Roberto Todeschini research?
Roberto Todeschini's work is mostly in Chemistry (31%), Computer Science (18%), Biochemistry, Genetics and Molecular Biology (7%).
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 Sciences16749.0%
- Chemistry10631.1%
- Computer Science6117.9%
- Everything else15044.0%
- Life Sciences247.0%
- 1Computational Theory and Mathematics18% of their works
- 2Organic Chemistry11% of their works
- 3Analytical Chemistry8% of their works
- 4Spectroscopy7% of their works
- 5Molecular Biology7% of their works
- 6Physical and Theoretical Chemistry6% of their works
Research topics
- Computational Drug Discovery Methods
- Spectroscopy and Chemometric Analyses
- Analytical Chemistry and Chromatography
- Advanced Chemical Sensor Technologies
- Advanced Statistical Methods and Models
- Machine Learning in Materials Science
- Metabolomics and Mass Spectrometry Studies
- History and advancements in chemistry
Which keywords describe Roberto Todeschini's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Principal Component Analysis, Multivariate Calibration, Near-Infrared Spectroscopy, Chiral Separation and Liquid Chromatography.
- Periodic Table
- Metabolomics
- Materials Informatics
- Regression Analysis
- Electronic Nose
- Liquid Chromatography
- Near-Infrared Spectroscopy
- Principal Component Analysis
- Molecular Docking
- Machine Learning
- Virtual Screening
- Multivariate Calibration
- Chiral Separation
- Breath Analysis
- Multicollinearity
- High-Throughput
- Mass Spectrometry
- Partially Ordered Sets
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
- Machine Learning1622 topics
- Molecular Docking1421 topic
- Virtual Screening1421 topic
- Principal Component Analysis792 topics
- Multivariate Calibration571 topic
- Near-Infrared Spectroscopy571 topic
- Chiral Separation471 topic
- Liquid Chromatography471 topic
- Breath Analysis241 topic
- Electronic Nose241 topic
- Multicollinearity221 topic
- Regression Analysis221 topic
- High-Throughput201 topic
- Materials Informatics201 topic
- Mass Spectrometry191 topic
- Metabolomics191 topic
- Partially Ordered Sets171 topic
- Periodic Table171 topic
Where does Roberto Todeschini work?
Roberto Todeschini's main affiliation in the publication record is University of Milano-Bicocca, Italy.
How many publications and citations does Roberto Todeschini have?
OpenAlex counts 340 works and 21,979 citations for Roberto Todeschini, an h-index of 61, ranking #457,578 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 Roberto Todeschini. 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.