World's Best Scientists 2026 revealed!
Massimiliano Ciaramita

Massimiliano Ciaramita

D-Index & Metrics

Computer Science

D-Index
36
Citations
5633
World Ranking
11249
National Ranking
4646

Massimiliano Ciaramita 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 Massimiliano Ciaramita 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: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Massimiliano Ciaramita 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 Massimiliano Ciaramita 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Massimiliano Ciaramita is affiliated with Google in the United States and conducts research primarily in the field of Computer Science, with a focus on Artificial Intelligence. Their work extends into several related subfields, including Sociology and Political Science, Computer Vision and Pattern Recognition, Information Systems, and General Social Sciences.

The main research topics covered by Ciaramita include:

  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Climate Change Communication and Perception
  • Expert Finding and Q&A Systems
  • Neural Networks and Applications
  • Explainable Artificial Intelligence (XAI)

The scientist's recent publications illustrate engagement with both environmental and technical challenges. Notable papers are:

  • CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims, 2020, Zurich Open Repository and Archive (University of Zurich)
  • ClimaText: A Dataset for Climate Change Topic Detection, 2020, arXiv (Cornell University)
  • Assessing Large Language Models on Climate Information, 2023, arXiv (Cornell University)
  • Zero-Shot Retrieval with Search Agents and Hybrid Environments, 2022, arXiv (Cornell University)
  • Decoding a Neural Retriever's Latent Space for Query Suggestion, 2022, arXiv (Cornell University)

Ciaramita collaborates frequently with a number of researchers, including:

  • Michelle Chen Huebscher
  • Christian Buck
  • Markus Leippold
  • Jannis Bulian
  • Afra Amini

Their work has been published predominantly in the venue arXiv (Cornell University), which accounts for the majority of their publications. Other venues include the Zurich Open Repository and Archive (University of Zurich) and the Repository for Publications and Research Data (ETH Zurich).

Best Publications

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

    Jan Hajiċ;Massimiliano Ciaramita;Richard Johansson;Daisuke Kawahara

  • Modelling ontology evaluation and validation

    Aldo Gangemi;Carola Catenacci;Massimiliano Ciaramita;Jos Lehmann

  • Learning to Rank Answers on Large Online QA Collections

    Mihai Surdeanu;Massimiliano Ciaramita;Hugo Zaragoza

  • Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger

    Massimiliano Ciaramita;Yasemin Altun

  • A framework for benchmarking entity-annotation systems

    Marco Cornolti;Paolo Ferragina;Massimiliano Ciaramita

  • Learning to rank answers to non-factoid questions from web collections

    Mihai Surdeanu;Massimiliano Ciaramita;Hugo Zaragoza

  • Unsupervised learning of semantic relations between concepts of a molecular biology ontology

    Massimiliano Ciaramita;Aldo Gangemi;Esther Ratsch;Jasmin Šaric

  • A theoretical framework for ontology evaluation and validation.

    Aldo Gangemi;Carola Catenacci;Massimiliano Ciaramita;Jos Lehmann

  • Supersense tagging of unknown nouns in WordNet

    Massimiliano Ciaramita;Mark Johnson

  • Ranking very many typed entities on wikipedia

    Hugo Zaragoza;Henning Rode;Peter Mika;Jordi Atserias

  • Topical clustering of search results

    Ugo Scaiella;Paolo Ferragina;Andrea Marino;Massimiliano Ciaramita

  • Online learning from click data for sponsored search

    Massimiliano Ciaramita;Vanessa Murdock;Vassilis Plachouras

  • Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing

    Zhendong Zhao;Lan Du;Benjamin Börschinger;John K. Pate

  • Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

    Christian Buck;Jannis Bulian;Massimiliano Ciaramita;Wojciech Paweł Gajewski

  • On Identifiability in Transformers

    Gino Brunner;Yang Liu;Damian Pascual;Oliver Richter

  • Ontology evaluation and validation An integrated formal model for the quality diagnostic task

    Aldo Gangemi;Carola Catenacci;Massimiliano Ciaramita;Jos Lehmann

  • System and method for revising natural language parse trees

    Giuseppe Attardi;Massimiliano Ciaramita

  • A noisy-channel approach to contextual advertising

    Vanessa Murdock;Massimiliano Ciaramita;Vassilis Plachouras

  • Explaining away ambiguity: learning verb selectional preference with Bayesian networks

    Massimiliano Ciaramita;Mark Johnson

  • To swing or not to swing: learning when (not) to advertise

    Andrei Broder;Massimiliano Ciaramita;Marcus Fontoura;Evgeniy Gabrilovich

  • CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

    Thomas Diggelmann;Jordan L. Boyd-Graber;Jannis Bulian;Massimiliano Ciaramita

Frequent Co-Authors

Vanessa Murdock
Vanessa Murdock Amazon (United States)
Mark Johnson
Mark Johnson Macquarie University
Hugo Zaragoza
Hugo Zaragoza Amazon (United States)
Aldo Gangemi
Aldo Gangemi University of Bologna
Mihai Surdeanu
Mihai Surdeanu University of Arizona
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Paolo Ferragina
Paolo Ferragina University of Pisa
Donald Metzler
Donald Metzler Google (United States)
Andrei Z. Broder
Andrei Z. Broder Google (United States)

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