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Mathematics
Norway
2026

D-Index & Metrics

Mathematics

D-Index
48
Citations
13921
World Ranking
1186
National Ranking
8

Harald Martens publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Harald Martens sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 124 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Harald Martens D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Harald Martens sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 48 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Norway Leader Award
  • 2025 - Research.com Mathematics in Norway Leader Award

Overview

Harald Martens is affiliated with the Norwegian University of Science and Technology in Norway. Their research spans multiple fields within engineering and chemistry, with a focus on analytical chemistry and control and systems engineering as core subfields. The scientist's work also touches on media technology, biophysics, and molecular biology.

The main topics covered in Martens's research portfolio include:

  • Spectroscopy and Chemometric Analyses
  • Fault Detection and Control Systems
  • Advanced Data Processing Techniques
  • Metallurgical Processes and Thermodynamics
  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Spectroscopy Techniques in Biomedical and Chemical Research

Their recent publications demonstrate contributions to both theoretical and applied research in chemistry and materials science. Notable papers include:

  • "Metamodeling of the Electrical Conditions in Submerged Arc Furnaces," 2021, published in Metallurgical and Materials Transactions B
  • "Multivariate image fusion: A pipeline for hyperspectral data enhancement," 2020, Chemometrics and Intelligent Laboratory Systems
  • "Causality, machine learning and human insight," 2023, Analytica Chimica Acta
  • "Exploring the use of extended multiplicative scattering correction for near infrared spectra of wood with fungal decay," 2024, Chemometrics and Intelligent Laboratory Systems
  • "Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding," 2022, Frontiers in Chemistry

Frequent coauthors in Martens's publications include:

  • I. Burud
  • Raffaele Vitale
  • Cyril Ruckebusch
  • Arnoud Jochemsen
  • Gry Alfredsen

Their research findings have appeared repeatedly in specialized venues such as:

  • Chemometrics and Intelligent Laboratory Systems
  • Frontiers in Chemistry
  • NIR News
  • SSRN Electronic Journal
  • Analytica Chimica Acta

Harald Martens's work integrates methodologies in spectroscopy with advanced data processing and control systems, reflecting a multidisciplinary approach that spans engineering and chemistry. The breadth of their research includes applications in metallurgical engineering, hyperspectral imaging, and the enhancement of near-infrared spectral analysis, among others.

Best Publications

  • Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat

    P. Geladi;D. MacDougall;H. Martens

  • The multivariate calibration problem in chemistry solved by the PLS method

    S. Wold;H. Martens;H. Wold

  • Multivariate Analysis of Quality : An Introduction

    Harald A. Martens;M. Martens

  • Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR)

    Harald Martens;Harald Martens;Magni Martens

  • Light scattering and light absorbance separated by extended multiplicative signal correction. application to near-infrared transmission analysis of powder mixtures.

    Harald Martens;Jesper Pram Nielsen;Søren Balling Engelsen

  • Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy.

    Harald Martens;Edward Stark

  • Validation and verification of regression in small data sets

    Harald A. Martens;Harald A. Martens;Pierre Dardenne

  • Resonant Mie Scattering (RMieS) correction of infrared spectra from highly scattering biological samples

    Paul Bassan;Achim Kohler;Harald Martens;Joe Lee

  • A multivariate calibration problem in analytical chemistry solved by partial least-squares models in latent variables

    Michael Sjöström;Svante Wold;Walter Lindberg;Jan-Åke Persson

  • Variable Selection in near Infrared Spectroscopy Based on Significance Testing in Partial Least Squares Regression

    F. Westad;Harald Martens

  • Multiplicative signal correction method and apparatus

    Edward W. Stark;Harald Martens

  • Principal component regression in NIR analysis: Viewpoints, background details and selection of components

    Tormod Næs;Harald Martens

  • Thermal denaturation of proteins in post rigor muscle tissue as studied by differential scanning calorimetry

    Eva Stabursvik;Harald Martens

  • Recursive algorithm for partial least squares regression

    Kristian Helland;Hans E. Berntsen;Odd S. Borgen;Harald Martens

  • Reducing over-optimism in variable selection by cross-model validation

    Endre Anderssen;Knut Dyrstad;Frank Westad;Harald Martens

  • Comparison of prediction methods for multicollinear data

    Tormod Naes;Harald Martens

  • Reliable and relevant modelling of real world data: a personal account of the development of PLS Regression

    Harald Martens;Harald Martens;Harald Martens

  • 150 years of the mass action law.

    Eberhard Voit;Harald Martens;Stig William Omholt

  • Multivariate Calibration by Data Compression

    H. Martens

  • Estimating and correcting mie scattering in synchrotron-based microscopic fourier transform infrared spectra by extended multiplicative signal correction.

    A. Kohler;J. Sulé-Suso;G. D. Sockalingum;M. Tobin

  • Multivariate calibration. I. Concepts and distinctions

    Harald Martens;Tormod Næs

Frequent Co-Authors

Svante Wold
Svante Wold Umeå University
Sigbjørn Lien
Sigbjørn Lien Norwegian University of Life Sciences
Noel W. Clarke
Noel W. Clarke University of Salford
Rasmus Bro
Rasmus Bro University of Copenhagen
Anders Karlsson
Anders Karlsson Swedish University of Agricultural Sciences
Peter Hunter
Peter Hunter University of Auckland
Ganesh D. Sockalingum
Ganesh D. Sockalingum University of Reims Champagne-Ardenne
Paul Dumas
Paul Dumas Soleil Synchrotron
Olaf Wolkenhauer
Olaf Wolkenhauer University of Rostock
Margareth Øverland
Margareth Øverland Norwegian University of Life Sciences

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