61.9

Sylvain Lespinats

Institut National de l'Énergie Solaire, Université Grenoble Alpes

Sylvain Lespinats' research contributes to several fields of study, including data science, biomedicine, and renewable energy. Their work on dimensionality reduction techniques and visualization methods, such as ming and classimap, enables more effective exploration and analysis of complex datasets. In the field of microbiology, Lespinats investigates the molecular and evolutionary bases of Escherichia coli extraintestinal infections, shedding light on within-patient genotypic and phenotypic diversity. Furthermore, their research on solar thermal energy production and life cycle assessment of large-scale PV systems informs efficient heat storage management and sustainable energy planning.

Shape MatchingDimensionality ReductionHigh-Dimensional DataSpatial Analysis
Commercial signal 61.5
Scientific signal 64.8
Social signal 63.6
Papers 12
2 Patent-to-paper cites
210 Paper cites

scientifiq.ai is an experimental platform. The platform relies on open source data and it may contain errors. Its primary goal is to advance scientific research on innovation.