What is he best known for?
The fields of study he is best known for:
- Food science
- Statistics
- Botany
Gerard Downey mainly focuses on Quality, Partial least squares regression, Chemometrics, Near-infrared spectroscopy and Analytical chemistry.
Gerard Downey has researched Partial least squares regression in several fields, including Wavelet and Linear regression.
His work deals with themes such as Selection, Data set and Pattern recognition, which intersect with Chemometrics.
His Near-infrared spectroscopy research integrates issues from Reflectivity and Animal science.
Gerard Downey interconnects Factorial discriminant analysis, Adulterant, Tenderness and Near infrared reflectance spectroscopy in the investigation of issues within Analytical chemistry.
His study in Food quality is interdisciplinary in nature, drawing from both Computer vision and Identification.
His most cited work include:
- Hyperspectral imaging – an emerging process analytical tool for food quality and safety control (851 citations)
- Recent technological advances for the determination of food authenticity (389 citations)
- Mid-infrared spectroscopy coupled with chemometrics: a tool for the analysis of intact food systems and the exploration of their molecular structure-quality relationships - a review (265 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Analytical chemistry, Partial least squares regression, Near-infrared spectroscopy, Food science and Chemometrics.
The study incorporates disciplines such as Factorial discriminant analysis, Principal component analysis, Calibration and Near-Infrared Spectrometry in addition to Analytical chemistry.
Partial least squares regression is the subject of his research, which falls under Statistics.
His Near-infrared spectroscopy study integrates concerns from other disciplines, such as Chromatography, Hyperspectral imaging, Mineralogy and Reflectivity.
Many of his research projects under Food science are closely connected to Spectral data and Sensory system with Spectral data and Sensory system, tying the diverse disciplines of science together.
The concepts of his Chemometrics study are interwoven with issues in Fourier transform infrared spectroscopy, Adulterant and Food industry.
He most often published in these fields:
- Analytical chemistry (42.53%)
- Partial least squares regression (30.46%)
- Near-infrared spectroscopy (27.01%)
What were the highlights of his more recent work (between 2013-2021)?
- Analytical chemistry (42.53%)
- Partial least squares regression (30.46%)
- Raman spectroscopy (12.64%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Analytical chemistry, Partial least squares regression, Raman spectroscopy, Food science and Coefficient of determination.
His biological study focuses on Chemometrics.
The Chemometrics study combines topics in areas such as Near infrared hyperspectral imaging, Hyperspectral imaging and Chemical quality.
His Partial least squares regression research is multidisciplinary, incorporating elements of Cross-validation and Skimmed milk.
His Raman spectroscopy research is multidisciplinary, incorporating perspectives in Maillard reaction, Ingredient and Chromatography.
His research in the fields of Protein content overlaps with other disciplines such as White flour, DNA microarray and Proteomics.
Between 2013 and 2021, his most popular works were:
- Simultaneous data pre-processing and SVM classification model selection based on a parallel genetic algorithm applied to spectroscopic data of olive oils. (84 citations)
- Detection of adulteration in fresh and frozen beefburger products by beef offal using mid-infrared ATR spectroscopy and multivariate data analysis. (50 citations)
- Dispersive Raman spectroscopy and multivariate data analysis to detect offal adulteration of thawed beefburgers. (29 citations)
In his most recent research, the most cited papers focused on:
- Food science
- Botany
- Statistics
Gerard Downey mainly investigates Analytical chemistry, Raman spectroscopy, Near-infrared spectroscopy, Maillard reaction and Partial least squares regression.
He has included themes like Mean squared error, Linear discriminant analysis and Hyperspectral imaging in his Analytical chemistry study.
His research in Raman spectroscopy intersects with topics in Scientific method, Chromatography, Absorbance and Lactose.
His study in the fields of Mass spectrometry under the domain of Chromatography overlaps with other disciplines such as Spectral data.
His biological study spans a wide range of topics, including Overtone, Detection limit, Range, Mineralogy and Calibration.
The various areas that Gerard Downey examines in his Partial least squares regression study include Food science and Lean meat.
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