World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
77
Citations
31489
World Ranking
635
National Ranking
14

Age K. Smilde 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 Age K. Smilde 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: 302 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Age K. Smilde 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 Age K. Smilde 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: 77 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Overview

Age K. Smilde is a researcher affiliated with the University of Amsterdam in the Netherlands. Their research contributions span several interdisciplinary fields, including biochemistry, genetics, and molecular biology, with a notable focus on molecular biology within these domains. Their academic work integrates computational mathematics and analytical chemistry, extending also into plant science and epidemiology.

Their research covers a range of topics. Notably, they have contributed extensively to metabolomics and mass spectrometry studies. Additional focal areas include tensor decomposition and applications, gene expression and cancer classification, spectroscopy and chemometric analyses, bioinformatics and genomic networks, gut microbiota and health, and mental health research topics.

Age K. Smilde has published in various scientific venues, with frequent contributions to the Journal of Chemometrics, bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, PLoS Computational Biology, and Chemometrics and Intelligent Laboratory Systems.

Key recent papers authored or co-authored by Smilde illustrate the diversity and scope of their work:

  • "Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models," 2020, Scientific Reports
  • "Effect of strigolactones on recruitment of the rice root-associated microbiome," 2022, FEMS Microbiology Ecology
  • "Transcriptional profiles of adjuvanted hepatitis B vaccines display variable interindividual homogeneity but a shared core signature," 2020, Science Translational Medicine
  • "Increased comparability between RNA-Seq and microarray data by utilization of gene sets," 2020, PLoS Computational Biology
  • "Revealing hidden information in GC-MS spectra from isomeric drugs: Chemometrics based identification from 15 eV and 70 eV EI mass spectra," 2020, Forensic Chemistry

Their collaboration network includes several frequent co-authors with whom they have worked extensively:

  • Johan A. Westerhuis
  • Bruce R. Kowalski
  • Paul Trevorrow
  • Janine Maer
  • Dela Torre

Best Publications

  • Principal component analysis

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

  • Centering, scaling, and transformations: improving the biological information content of metabolomics data

    Robert A van den Berg;Huub C J Hoefsloot;Johan A Westerhuis;Age K Smilde

  • Assessment of PLSDA cross validation

    Johan A. Westerhuis;Huub C. J. Hoefsloot;Suzanne Smit;Daniel J. Vis

  • Multi-way Analysis: Applications in the Chemical Sciences

    Age K Smilde;Rasmus Bro;Paul Geladi

  • Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution

    Romà Tauler;Age Smilde;Bruce Kowalski

  • Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation.

    Sabina Bijlsma;Ivana Bobeldijk;Elwin R Verheij;Raymond Ramaker

  • Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies.

    Ewa Szymańska;Edoardo Saccenti;Age K. Smilde;Johan A. Westerhuis

  • 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

  • ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data

    Age K. Smilde;Jeroen J. Jansen;Huub C. J. Hoefsloot;Robert-Jan A. N. Lamers

  • Reflections on univariate and multivariate analysis of metabolomics data

    Edoardo Saccenti;Huub C. J. Hoefsloot;Age K. Smilde;Johan A. Westerhuis

  • Generalized contribution plots in multivariate statistical process monitoring

    Johan A. Westerhuis;Stephen P. Gurden;Age K. Smilde

  • Metabolic fate of polyphenols in the human superorganism

    John van Duynhoven;Elaine E. Vaughan;Doris M. Jacobs;Robèr A. Kemperman

  • Centering and scaling in component analysis

    Rasmus Bro;Age K. Smilde

  • Proposed minimum reporting standards for data analysis in metabolomics

    Royston Goodacre;David Broadhurst;Age K. Smilde;Bruce S. Kristal

  • Multivariate paired data analysis: multilevel PLSDA versus OPLSDA

    Johan A. Westerhuis;Ewoud J. J. van Velzen;Huub C. J. Hoefsloot;Age K. Smilde

  • Direct orthogonal signal correction

    Johan A. Westerhuis;Sijmen de Jong;Age K. Smilde

  • Cross-validation of component models: A critical look at current methods

    R. Bro;K. Kjeldahl;A. K. Smilde;H. A. L. Kiers

  • Fusion of mass spectrometry-based metabolomics data.

    Age K Smilde;Mariët J van der Werf;Sabina Bijlsma;Bianca J C van der Werff-van der Vat

  • Atherosclerosis and liver inflammation induced by increased dietary cholesterol intake: a combined transcriptomics and metabolomics analysis

    Robert Kleemann;Lars Verschuren;Marjan J van Erk;Yuri Nikolsky

  • Influence of Temperature on Vibrational Spectra and Consequences for the Predictive Ability of Multivariate Models

    Florian Wülfert;Wim Th. Kok;Age K. Smilde

  • Chemometrics and Intelligent Laboratory Systems

    Iven Van Mechelen;Age K. Smilde

Frequent Co-Authors

Johan A. Westerhuis
Johan A. Westerhuis University of Amsterdam
Huub C. J. Hoefsloot
Huub C. J. Hoefsloot University of Amsterdam
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Rasmus Bro
Rasmus Bro University of Copenhagen
Rainer Bischoff
Rainer Bischoff University of Groningen
Romà Tauler
Romà Tauler Spanish National Research Council
Ben van Ommen
Ben van Ommen Netherlands Organisation for Applied Scientific Research
Lodewyk F. A. Wessels
Lodewyk F. A. Wessels Antoni van Leeuwenhoek Hospital
Thomas Hankemeier
Thomas Hankemeier Leiden University
Paul Geladi
Paul Geladi Swedish University of Agricultural Sciences

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