World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
75
Citations
42211
World Ranking
730
National Ranking
12

Overview

Rasmus Bro is affiliated with the University of Copenhagen in Denmark and has a significant footprint in chemistry-related research. Their scholarly output spans multiple core fields including Chemistry and Biochemistry, Genetics and Molecular Biology, with a focused contribution to subfields such as Molecular Biology, Analytical Chemistry, Food Science, Spectroscopy, and Computational Mathematics.

Their work is characterized by an emphasis on topics like Spectroscopy and Chemometric Analyses, Metabolomics and Mass Spectrometry Studies, Tensor Decomposition and Applications, Analytical Chemistry and Chromatography, Fermentation and Sensory Analysis, Identification and Quantification in Food, and Spectroscopy Techniques in Biomedical and Chemical Research.

Among the frequently co-authoring collaborators are Paul-Albert Schneide, Neal B. Gallagher, Age K. Smilde, Marina Cocchi, and José Camacho, reflecting a networked research dynamic across multiple specialized domains.

Rasmus Bro's publications have appeared predominantly in scientific journals such as the Journal of Chemometrics and Chemometrics and Intelligent Laboratory Systems, where they have contributed substantially with 12 and 11 publications respectively. They have also published in the SSRN Electronic Journal, Food Chemistry, and arXiv (Cornell University).

  • From untargeted chemical profiling to peak tables - A fully automated AI driven approach to untargeted GC-MS (2021, TrAC Trends in Analytical Chemistry)
  • Can We Trust Score Plots? (2020, Metabolites)
  • Trusting our machines: validating machine learning models for single-molecule transport experiments (2022, Chemical Society Reviews)
  • A Metabolomic Approach to Beer Characterization (2021, Molecules)
  • An AO-ADMM Approach to Constraining PARAFAC2 on All Modes (2022, SIAM Journal on Mathematics of Data Science)

Best Publications

  • PARAFAC. Tutorial and applications

    Rasmus Bro

  • Principal component analysis

    Rasmus Bro;Age K. Smilde;Age K. Smilde

  • Characterizing dissolved organic matter fluorescence with parallel factor analysis: a tutorial

    Colin A. Stedmon;Rasmus Bro

  • Tracing dissolved organic matter in aquatic environments using a new approach to fluorescence spectroscopy

    Colin A Stedmon;Stiig Markager;Rasmus Bro

  • Fluorescence spectroscopy and multi-way techniques. PARAFAC

    Kathleen R. Murphy;Colin A. Stedmon;Daniel Graeber;Rasmus Bro

  • Multi-way Analysis: Applications in the Chemical Sciences

    Age K Smilde;Rasmus Bro;Paul Geladi

  • A new efficient method for determining the number of components in PARAFAC models

    Rasmus Bro;Henk A. L. Kiers

  • The N-way Toolbox for MATLAB

    Claus A Andersson;Rasmus Bro

  • A FAST NON-NEGATIVITY-CONSTRAINED LEAST SQUARES ALGORITHM

    Rasmus Bro;Sijmen De Jong

  • OpenFluor- an online spectral library of auto-fluorescence by organic compounds in the environment

    Kathleen R. Murphy;Colin A. Stedmon;Philip Wenig;Rasmus Bro

  • Characterizing dissolved organic matter fluorescence with parallel factor analysis: a tutorial: Fluorescence-PARAFAC analysis of DOM

    Colin A. Stedmon;Rasmus Bro

  • Multiway calibration. Multilinear PLS

    Rasmus Bro

  • Variable selection in regression—a tutorial

    C. M. Andersen;R. Bro

  • Parallel factor analysis in sensor array processing

    N.D. Sidiropoulos;R. Bro;G.B. Giannakis

  • Multi-Way Analysis with Applications in the Chemical Sciences: Smilde/Multi-Way Analysis with Applications in the Chemical Sciences

    Age Smilde;Rasmus Bro;Paul Geladi

  • Practical aspects of PARAFAC modeling of fluorescence excitation-emission data

    Charlotte Møller Andersen;R. Bro

  • Blind PARAFAC receivers for DS-CDMA systems

    N.D. Sidiropoulos;G.B. Giannakis;R. Bro

  • On the uniqueness of multilinear decomposition of N-way arrays

    Nicholas D. Sidiropoulos;Rasmus Bro

  • Handling of Rayleigh and Raman scatter for PARAFAC modeling of fluorescence data using interpolation

    Morteza Bahram;Rasmus Bro;Colin A. Stedmon;Abbas Afkhami

  • Centering and scaling in component analysis

    Rasmus Bro;Age K. Smilde

  • PARAFAC2 : PART I. A DIRECT FITTING ALGORITHM FOR THE PARAFAC2 MODEL

    Henk A. L. Kiers;Jos M. F. ten Berge;Rasmus Bro

  • A comparison of algorithms for fitting the PARAFAC model

    Giorgio Tomasi;Rasmus Bro

Frequent Co-Authors

Søren Balling Engelsen
Søren Balling Engelsen University of Copenhagen
Age K. Smilde
Age K. Smilde University of Amsterdam
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Colin A. Stedmon
Colin A. Stedmon Technical University of Denmark
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Paul Geladi
Paul Geladi Swedish University of Agricultural Sciences
Kim F. Michaelsen
Kim F. Michaelsen University of Copenhagen
Federico Marini
Federico Marini Sapienza University of Rome
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Lars O. Dragsted
Lars O. Dragsted University of Copenhagen

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