World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
21141
World Ranking
6779
National Ranking
79

Kim H. Esbensen publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Kim H. Esbensen sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 237 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Kim H. Esbensen D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Kim H. Esbensen sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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