World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
12195
World Ranking
4793
National Ranking
2231

Lluís Màrquez publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lluís Màrquez sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lluís Màrquez D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 53 D-Index — 67th percentile

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

The last bar groups every scientist with 131 D-Index or more.

Overview

Lluís Màrquez is a researcher currently affiliated with Amazon in the United States. Their work predominantly spans the field of Computer Science, with a particular focus on Artificial Intelligence. Other areas of study include Communication, Information Systems, and Computer Vision and Pattern Recognition.

The primary research topics in Màrquez's work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Wikis in Education and Collaboration
  • Speech Recognition and Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Information Retrieval and Search Behavior
  • Web Data Mining and Analysis

Màrquez has contributed to several publications in various venues. Their recent papers include:

  • "Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search," 2022, arXiv (Cornell University)
  • "Effective multi-dialectal arabic POS tagging," 2020, Natural Language Engineering
  • "Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction," 2022, Knowledge and Information Systems
  • "NLE volume 26 issue 6 Cover and Back matter," 2020, Natural Language Engineering
  • "Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction," 2020, arXiv (Cornell University)

Frequently published venues where Màrquez's work appears include:

  • arXiv (Cornell University)
  • Natural Language Engineering
  • Knowledge and Information Systems
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Zenodo (CERN European Organization for Nuclear Research)

The researcher has collaborated with a number of co-authors on multiple occasions. Among the frequent co-authors are:

  • Cristina España-Bonet
  • Alberto Barrón-Cedeño
  • Kareem Darwish
  • Mohammed Attia
  • Hamdy Mubarak

Best Publications

  • Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling

    Xavier Carreras;Lluís Màrquez

  • Introduction to the CoNLL-2005 shared task

    Unknown

  • The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages

    Jan Hajiċ;Massimiliano Ciaramita;Richard Johansson;Daisuke Kawahara

  • The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies

    Mihai Surdeanu;Richard Johansson;Adam Meyers;Lluís Màrquez

  • SVMTool: A general POS Tagger Generator Based on Support Vector Machines

    Jesús Giménez;Lluís Màrquez

  • Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

    Hang Li;Lluís Màrquez

  • Boosting Trees for Anti-Spam Email Filtering

    Xavier Carreras;Lluís Màrquez

  • Semantic role labeling: an introduction to the special issue

    Lluís Màrquez;Xavier Carreras;Kenneth C. Litkowski;Suzanne Stevenson

  • SemEval-2017 Task 3: Community Question Answering

    Preslav Nakov;Doris Hoogeveen;Lluís Màrquez;Alessandro Moschitti

  • Named Entity Extraction using AdaBoost

    Xavier Carreras;Lluís Màrquez;Lluís Padró

  • Boosting applied to Word Sense Disambiguation

    Gerard Escudero;Lluís Màrquez;German Rigau

  • SemEval-2015 Task 3: Answer Selection in Community Question Answering

    Preslav Nakov;Llu'is Màrquez;Walid Magdy;Alessandro Moschitti

  • SemEval-2016 Task 3: Community Question Answering

    Preslav Nakov;Lluís Màrquez;Alessandro Moschitti;Walid Magdy

  • SemEval-2010 Task 1: Coreference Resolution in Multiple Languages

    Marta Recasens;Llu'is Màrquez;Emili Sapena;M. Antònia Mart'i

  • Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

    Yonatan Belinkov;Lluís Màrquez;Hassan Sajjad;Nadir Durrani

  • Linguistic Features for Automatic Evaluation of Heterogenous MT Systems

    Jesús Giménez;Llu'is Màrquez

  • Fast and accurate part-of-speech tagging: The SVM approach revisited.

    Jesús Giménez;Lluís Màrquez

  • A simple named entity extractor using AdaBoost

    Xavier Carreras;Lluís Màrquez;Lluís Padró

  • Integrating Stance Detection and Fact Checking in a Unified Corpus

    Ramy Baly;Mitra Mohtarami;James R. Glass;Lluís Màrquez

  • Automatic Stance Detection Using End-to-End Memory Networks

    Mitra Mohtarami;Ramy Baly;James R. Glass;Preslav Nakov

  • SemEval-2010 Task 1: Coreference Resolution in Multiple Languages

    Marta Recasens;Toni Mart'i;Mariona Taulé;Llu'is Màrquez

Frequent Co-Authors

Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Alessandro Moschitti
Alessandro Moschitti Amazon (United States)
Shafiq Joty
Shafiq Joty Salesforce (United States)
Eneko Agirre
Eneko Agirre University of the Basque Country
German Rigau
German Rigau University of the Basque Country
Mihai Surdeanu
Mihai Surdeanu University of Arizona
Walid Magdy
Walid Magdy University of Edinburgh
Enrique Romero
Enrique Romero Universitat Politècnica de Catalunya

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