World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
21141
World Ranking
6776
National Ranking
79

Overview

Kim H. Esbensen is affiliated with the Geological Survey of Denmark and Greenland in Denmark. Their research spans a range of technical fields and applied topics, with a focus on mineral processing, spectroscopy, and sampling methodologies.

The scientist has published multiple papers on topics related to sampling, near-infrared spectroscopy, and process analysis. Recent papers include:

  • Quality and sampling error quantification for gold mineral resource estimation, 2020, Spectroscopy Europe
  • Before reliable near infrared spectroscopic analysis - the critical sampling proviso. Part 2: Particular requirements for near infrared spectroscopy, 2022, Journal of Near Infrared Spectroscopy
  • Economic arguments for representative sampling, 2021, Spectroscopy Europe
  • Before reliable near infrared spectroscopic analysis - the critical sampling proviso. Part 1: Generalised theory of sampling, 2022, Journal of Near Infrared Spectroscopy
  • The sampling interface-A critical Theory of Sampling success factor in process sampling and PAT, 2022, TOS forum

Frequent co-authors in their publications include:

  • Simon Dominy
  • D. François-Bongarçon
  • Claudia Paoletti
  • D. Aldwin Vogel
  • Nawaf Abu-Khalaf

Kim H. Esbensen's work is often published in the following venues:

  • Spectroscopy Europe
  • TOS forum
  • Sampling Science & Technology
  • Journal of Near Infrared Spectroscopy
  • Linköping electronic conference proceedings

Their interdisciplinary research encompasses several subfields of study, notably:

  • Mechanical Engineering
  • Analytical Chemistry
  • Artificial Intelligence
  • Control and Systems Engineering
  • Biophysics

Main topics of research addressed by Kim H. Esbensen include:

  • Mineral Processing and Grinding
  • Spectroscopy and Chemometric Analyses
  • Geochemistry and Geologic Mapping
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Statistical Process Monitoring
  • Advanced Chemical Sensor Technologies
  • Fault Detection and Control Systems

Best Publications

  • Principal component analysis

    Svante Wold;Kim H Esbensen;Kim H Esbensen;Paul Geladi;Paul Geladi

  • Multi‐way principal components‐and PLS‐analysis

    Svante Wold;Paul Geladi;Kim Esbensen;Jerker Öhman

  • Multivariate Data Analysis in Chemistry

    Svante Wold;C. Albano;W. J. Dunn;U. Edlund

  • Monitoring of anaerobic digestion processes: A review perspective

    Michael Madsen;Jens Bo Holm-Nielsen;Kim H. Esbensen

  • Representative Sampling for reliable data analysis: Theory Of Sampling

    Lars Petersen;Pentti Minkkinen;Kim H. Esbensen

  • Principal component analysis of multivariate images

    Paul Geladi;Hans Isaksson;Lennart Lindqvist;Svante Wold

  • Strategy of multivariate image analysis (MIA)

    Kim Esbensen;Paul Geladi

  • Representative mass reduction in sampling—a critical survey of techniques and hardware

    Lars Petersen;Casper K. Dahl;Kim H. Esbensen

  • Polycyclic aromatic hydrocarbons in soil and air: statistical analysis and classification by the SIMCA method

    Nils B. Vogt;Frode. Brakstad;Karin. Thrane;Svein. Nordenson

  • Principal Component Analysis (PCA): Concept, geometrical intrepretation, mathematical background, algorithms, history

    Kim Esbensen;Paul Geladi

  • On‐line near infrared monitoring of glycerol‐boosted anaerobic digestion processes: Evaluation of process analytical technologies

    Jens Bo Holm-Nielsen;Carina Juel Lomborg;Piotr Oleskowicz-Popiel;Kim H. Esbensen

  • Source contributions to ambient aerosol calculated by discriminat partial least squares regression (PLS)

    Richard Vong;Paul Geladi;Svante Wold;Kim Esbensen

  • Regression on multivariate images: Principal component regression for modeling, prediction and visual diagnostic tools

    Paul Geladi;Kim Esbensen

  • Acoustic chemometric monitoring of an industrial granulation production process : a PAT feasibility study

    Maths Halstensen;Peter de Bakker;Kim H. Esbensen;Kim H. Esbensen

  • In situ carbon and nitrogen dynamics in ryegrass-clover mixtures: Transfers, deposition and leaching

    Jim Rasmussen;Jørgen Eriksen;Erik Steen Jensen;Kim H. Esbensen

  • Process Sampling (Theory of Sampling, TOS) - the Missing Link in Process Analytical Technology (PAT)

    Kim H. Esbensen;Peter Paasch‐Mortensen

  • Fermentation monitoring using multisensor systems: feasibility study of the electronic tongue.

    Kim Esbensen;Dmitry Kirsanov;Andrey Legin;Alisa Rudnitskaya

  • Near infrared and acoustic chemometrics monitoring of volatile fatty acids and dry matter during co-digestion of manure and maize silage.

    Carina Juhl Lomborg;Jens Bo Holm-Nielsen;Piotr Oleskowicz-Popiel;Kim Esbensen

  • Representative process sampling for reliable data analysis—a tutorial

    Lars Petersen;Kim H. Esbensen

  • The start and early history of chemometrics: Selected interviews. Part 1

    Paul Geladi;Kim Esbensen

  • Systematic compositional variations in the Cape York iron meteorite

    Kim H. Esbensen;Kim H. Esbensen;Vagn F. Buchwald;Dan J. Malvin;John T. Wasson

Frequent Co-Authors

Paul Geladi
Paul Geladi Swedish University of Agricultural Sciences
Svante Wold
Svante Wold Umeå University
Desire L. Massart
Desire L. Massart Vrije Universiteit Brussel
Erik Steen Jensen
Erik Steen Jensen Swedish University of Agricultural Sciences
Poul Løgstrup Bjerg
Poul Løgstrup Bjerg Technical University of Denmark
Philip John Binning
Philip John Binning Technical University of Denmark
Michael W. Vannier
Michael W. Vannier University of Chicago
John T. Wasson
John T. Wasson University of California, Los Angeles
Sarah-Jane Barnes
Sarah-Jane Barnes Université du Québec à Chicoutimi
Eric C. Gaucher
Eric C. Gaucher Total (France)

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