What is he best known for?
The fields of study he is best known for:
- Statistics
- Organic chemistry
- Biochemistry
His primary scientific interests are in Analytical chemistry, Multivariate curve resolution, Multivariate statistics, Chemometrics and Statistics.
His study in Analytical chemistry is interdisciplinary in nature, drawing from both Chromatography, Calibration and Titration.
Romà Tauler has included themes like Unimodality, Polarography, Selection, Diode array and Alternating least squares in his Multivariate curve resolution study.
His Multivariate statistics research incorporates elements of Data mining, Hydrology, Pesticide, Least squares and Pattern recognition.
His Chemometrics research integrates issues from Drainage basin, Singular value decomposition, Environmental chemistry, Water pollution and Principal component analysis.
The Statistics study combines topics in areas such as Algorithm and Noise.
His most cited work include:
- Multivariate curve resolution applied to second order data (1003 citations)
- A graphical user-friendly interface for MCR-ALS: a new tool for multivariate curve resolution in MATLAB (785 citations)
- Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution (761 citations)
What are the main themes of his work throughout his whole career to date?
Romà Tauler mostly deals with Analytical chemistry, Chemometrics, Multivariate curve resolution, Chromatography and Multivariate statistics.
He has researched Analytical chemistry in several fields, including Calibration and Titration.
His research in Chemometrics focuses on subjects like Principal component analysis, which are connected to Environmental chemistry.
The concepts of his Multivariate curve resolution study are interwoven with issues in Algorithm, Alternating least squares and Statistics.
His studies in Algorithm integrate themes in fields like Noise, Ambiguity and Rotation.
The various areas that Romà Tauler examines in his Multivariate statistics study include Least squares, Artificial intelligence and Pattern recognition.
He most often published in these fields:
- Analytical chemistry (25.74%)
- Chemometrics (21.08%)
- Multivariate curve resolution (18.38%)
What were the highlights of his more recent work (between 2017-2021)?
- Chemometrics (21.08%)
- Metabolomics (7.11%)
- Multivariate curve resolution (18.38%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Chemometrics, Metabolomics, Multivariate curve resolution, Chromatography and Algorithm.
His work deals with themes such as Hyperspectral imaging, Artificial intelligence, Pattern recognition, Resolution and Least squares, which intersect with Chemometrics.
Romà Tauler interconnects Proton NMR, Daphnia magna, Biological system and Zebrafish in the investigation of issues within Metabolomics.
His Multivariate curve resolution research is multidisciplinary, incorporating elements of Experimental data, Contribution function, Factor, Principal component analysis and Isomerization.
His Chromatography research is multidisciplinary, incorporating perspectives in Partial least squares regression, Benzophenone and Alternating least squares.
His Algorithm research incorporates themes from Ambiguity, Linear regression and Noise.
Between 2017 and 2021, his most popular works were:
- Chemometrics in analytical chemistry—part II: modeling, validation, and applications (34 citations)
- Assessment of endocrine disruptors effects on zebrafish (Danio rerio) embryos by untargeted LC-HRMS metabolomic analysis. (31 citations)
- Acrylamide acute neurotoxicity in adult zebrafish (24 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Organic chemistry
- Biochemistry
Romà Tauler mainly investigates Metabolomics, Chemometrics, Daphnia magna, Zebrafish and Mass spectrometry.
His Metabolomics research includes elements of Nuclear magnetic resonance spectroscopy, Carbon-13 Magnetic Resonance Spectroscopy, Salinity and Yeast.
His biological study spans a wide range of topics, including Gas chromatography, Partial least squares regression and Chemical imaging.
His research in Daphnia magna intersects with topics in Polyunsaturated fatty acid, Pharmacology and Cytochrome P450.
His study with Mass spectrometry involves better knowledge in Chromatography.
His work on Multivariate curve resolution and Uv spectrophotometry as part of general Chromatography research is often related to Photooxygenation, thus linking different fields of science.
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