World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
6314
World Ranking
9150
National Ranking
174

Maarten Marx 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 Maarten Marx 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: 195 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Maarten Marx 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 Maarten Marx 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Maarten Marx is affiliated with the University of Amsterdam in the Netherlands. Their research is situated primarily within the field of Computer Science, with significant contributions across several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science, and Management Science and Operations Research.

The main topics of Maarten Marx's work focus extensively on areas such as Natural Language Processing Techniques, Topic Modeling, Research Data Management Practices, Text Readability and Simplification, Misinformation and Its Impacts, Handwritten Text Recognition Techniques, and Data Quality and Management.

Maarten Marx has authored papers published in a range of venues, with frequent appearances in:

  • Data
  • Language Resources and Evaluation
  • IEEE Transactions on Electron Devices
  • Natural Language Engineering
  • Digital Journalism

Selected recent papers authored or co-authored by Maarten Marx include:

  • "The ParlaMint corpora of parliamentary proceedings," 2022, Language Resources and Evaluation
  • "Analysis of an AlGaN/AlN Super-Lattice Buffer Concept for 650-V Low-Dispersion and High-Reliability GaN HEMTs," 2020, IEEE Transactions on Electron Devices
  • "Learning to rank for multi-label text classification: Combining different sources of information," 2020, Natural Language Engineering
  • "Speech acts in the Dutch COVID-19 Press Conferences," 2022, Language Resources and Evaluation
  • "The Automatic Detection of Dataset Names in Scientific Articles," 2021, Data

Maarten Marx has collaborated extensively with several frequent co-authors, including:

  • Ruben van Heusden
  • Jaap Kamps
  • Maik Larooij
  • Tomaž Erjavec
  • Maciej Ogrodniczuk

The diversity of their research spans from technical topics such as electronic device analysis to computational linguistics and text analytics, reflecting an interdisciplinary approach within computer science frameworks.

No book publications or awards have been recorded for Maarten Marx in the available data.

Best Publications

  • Using WordNet to measure semantic orientations of adjectives

    Jaap Kamps;Maarten Marx;Robert J. Mokken;Maarten de Rijke

  • Hybrid Logics: Characterization, Interpolation and Complexity

    Carlos Areces;Patrick Blackburn;Maarten Marx

  • Multi-Dimensional Modal Logic

    Maarten Marx;Yde Venema

  • Effective Headlines of Newspaper Articles in a Digital Environment

    Jeffrey Kuiken;Anne Schuth;Martijn Spitters;Maarten Marx

  • Finite Model Theory and Its Applications

    E. Grädel;P. Kolaitis;L. Libkin;M.J. Marx

  • Words with attitude

    J. Kamps;M.J. Marx

  • A Road-Map on Complexity for Hybrid Logics

    Carlos Areces;Patrick Blackburn;Maarten Marx

  • Specifying access control policies for XML documents with XPath

    Irini Fundulaki;Maarten Marx

  • Conditional XPath

    Maarten Marx

  • XPath with conditional axis relations

    Maarten Marx

  • The computational complexity of hybrid temporal logics

    Carlos Areces;Patrick Blackburn;Maarten Marx

  • Semantic characterizations of navigational XPath

    Maarten Marx;Maarten de Rijke

  • Conditional XPath, the first order complete XPath dialect

    Maarten Marx

  • The quality of the XML Web

    Steven Grijzenhout;Maarten Marx

  • Extracting the discussion structure in comments on news-articles

    Anne Schuth;Maarten Marx;Maarten de Rijke

  • Undecidability of compass logic

    Maarten Marx;Mark Reynolds

  • Complexity of products of modal logics

    Maarten Marx

  • First order paths in ordered trees

    Maarten Marx

  • Tableaux for Quantified Hybrid Logic

    P. Blackburn;M.J. Marx

  • Definitorially complete description logics

    Balder ten Cate;Willem Conradie;Maarten Marx;Yde Venema

  • Named entity normalization in user generated content

    Valentin Jijkoun;Mahboob Alam Khalid;Maarten Marx;Maarten de Rijke

  • Queries determined by views: pack your views

    Maarten Marx

  • Axiomatizing the Logical Core of XPath 2.0

    Balder ten Cate;Maarten Marx

  • Articulating information needs in XML query languages

    Jaap Kamps;Maarten Marx;Maarten de Rijke;Börkur Sigurbjörnsson

  • Finite Model Theory and Its Applications (Texts in Theoretical Computer Science. An EATCS Series)

    Erich Grädel;P. G. Kolaitis;L. Libkin;M. Marx

Frequent Co-Authors

Jaap Kamps
Jaap Kamps University of Amsterdam
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Balder ten Cate
Balder ten Cate University of Amsterdam
Jens Teubner
Jens Teubner TU Dortmund University
Nikola Ljubešić
Nikola Ljubešić Jožef Stefan Institute
Leonid Libkin
Leonid Libkin University of Edinburgh
Erich Grädel
Erich Grädel RWTH Aachen University
Moshe Y. Vardi
Moshe Y. Vardi Rice University
Phokion G. Kolaitis
Phokion G. Kolaitis University of California, Santa Cruz
Joel Spencer
Joel Spencer Courant Institute of Mathematical Sciences

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