World's Best Scientists 2026 revealed!
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Computer Science
UAE
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
14678
World Ranking
2360
National Ranking
18

Nizar Habash 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 Nizar Habash 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: 299 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Nizar Habash 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 Nizar Habash 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2023 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2022 - Research.com Computer Science in United Arab Emirates Leader Award

Overview

Nizar Habash is affiliated with New York University Abu Dhabi in the United Arab Emirates. Their research primarily spans the field of Computer Science, with significant contributions concentrated in Artificial Intelligence, Language and Linguistics, and related areas.

The scientist's work extensively covers Natural Language Processing Techniques, which is reflected in numerous publications addressing various aspects of language understanding and processing. Other prominent research topics include Topic Modeling, Text Readability and Simplification, Speech Recognition and Synthesis, Authorship Attribution and Profiling, Language, Linguistics, Cultural Analysis, and Speech and Dialogue Systems.

Habash's frequent collaborators include Bashar Alhafni, Houda Bouamor, Injy Hamed, Preslav Nakov, and Alham Fikri Aji, with multiple joint publications documented across their careers.

The dissemination of their research is mainly through arXiv (Cornell University), which hosts the majority of their papers. Other publication venues include Scientific Reports and Elsevier eBooks, along with contributions in Sociological Methodology and the ACM Transactions on Asian and Low-Resource Language Information Processing.

Notable recent papers include:

  • "Universal Dependencies," 2025, published by Elsevier eBooks
  • "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models," 2021, arXiv (Cornell University)
  • "Perception, performance, and detectability of conversational artificial intelligence across 32 university courses," 2023, Scientific Reports
  • "NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task," 2020, arXiv (Cornell University)
  • "NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task," 2021, arXiv (Cornell University)

The scientist's contributions integrate several subfields that intersect computer science and linguistics, including computer vision and pattern recognition as well as health informatics. This diversity indicates a multidisciplinary approach to research topics.

Best Publications

  • Introduction to Arabic Natural Language Processing

    Nizar Y. Habash

  • MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

    Arfath Pasha;Mohamed Al-Badrashiny;Mona Diab;Ahmed El Kholy

  • Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop

    Nizar Habash;Owen Rambow

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Martin Popel;Milan Straka;Jan Hajic

  • Arabic Preprocessing Schemes for Statistical Machine Translation

    Nizar Habash;Fatiha Sadat

  • On Arabic Transliteration

    Nizar Habash;Abdelhadi Soudi;Timothy Buckwalter

  • Universal Dependencies 2.1

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Lene Antonsen

  • Universal Dependencies 2.0

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Maria Jesus Aranzabe

  • Universal Dependencies 2.3

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining

    Gilbert Badaro;Ramy Baly;Hazem Hajj;Nizar Habash

  • Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking

    Ryan Roth;Owen Rambow;Nizar Habash;Mona Diab

  • MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects

    Nizar Habash;Owen Rambow

  • Spoken Arabic Dialect Identification Using Phonotactic Modeling

    Fadi Biadsy;Julia Hirschberg;Nizar Habash

  • Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages

    Djamé Seddah;Reut Tsarfaty;Sandra Kübler;Marie Candito

  • Conventional Orthography for Dialectal Arabic

    Nizar Habash;Mona Diab;Owen Rambow

  • Arabic Diacritization through Full Morphological Tagging

    Nizar Habash;Owen Rambow

  • The madar Arabic dialect corpus and lexicon

    Houda Bouamor;Nizar Habash;Mohammad Salameh;Wajdi Zaghouani

  • Morphological Annotation of Quranic Arabic

    Kais Dukes;Nizar Habash

  • Morphological Analysis and Disambiguation for Dialectal Arabic

    Nizar Habash;Ryan Roth;Owen Rambow;Ramy Eskander

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

  • A Morphological Analyzer and Generator for the Arabic Dialects

    Nizar Habash;Owen Rambow

Frequent Co-Authors

Owen Rambow
Owen Rambow Stony Brook University
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Mona Diab
Mona Diab Carnegie Mellon University
Joakim Nivre
Joakim Nivre Uppsala University
Kemal Oflazer
Kemal Oflazer Carnegie Mellon University
Sampo Pyysalo
Sampo Pyysalo University of Turku
Jan Hajič
Jan Hajič Charles University
Filip Ginter
Filip Ginter University of Turku
Christopher D. Manning
Christopher D. Manning Stanford University
Slav Petrov
Slav Petrov Google (United States)

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