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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
74
Citations
19652
World Ranking
1513
National Ranking
13

Paolo Rosso 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 Paolo Rosso 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: 608 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Paolo Rosso 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 Paolo Rosso 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: 74 D-Index — 90th percentile

90% 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 Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Paolo Rosso is affiliated with the Universitat Politècnica de València in Spain. Their research spans primarily across the fields of Computer Science and Social Sciences, with a focus on various subfields including Artificial Intelligence, Sociology and Political Science, Information Systems, Social Psychology, and Communication.

Their scholarly contributions have addressed several main topics, such as:

  • Hate Speech and Cyberbullying Detection
  • Misinformation and Its Impacts
  • Topic Modeling
  • Spam and Phishing Detection
  • Sentiment Analysis and Opinion Mining
  • Authorship Attribution and Profiling
  • Natural Language Processing Techniques

Paolo Rosso has collaborated frequently with several coauthors, among them:

  • Berta Chulvi (34 joint works)
  • Francisco Rangel (33 joint works)
  • Elisabetta Fersini (15 joint works)
  • Marc Franco-Salvador (15 joint works)
  • Anastasia Giachanou (14 joint works)

Their research has been published in notable venues, including:

  • arXiv (Cornell University) - 26 publications
  • Zenodo (CERN European Organization for Nuclear Research) - 24 publications
  • RiuNet (Universitat Politècnica de València) - 5 publications
  • Expert Systems - 4 publications
  • Information Processing & Management - 3 publications

Recent representative papers include:

  • "An emotion and cognitive based analysis of mental health disorders from social media data," 2021, Future Generation Computer Systems
  • "SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification," 2022, Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  • "Multilingual stance detection in social media political debates," 2020, Computer Speech & Language
  • "Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language," 2022, Computer Science Review
  • "Overview of EXIST 2021: sEXism Identification in Social neTworks," 2021, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)

Best Publications

  • SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter

    Valerio Basile;Cristina Bosco;Elisabetta Fersini;Debora Nozza

  • A multidimensional approach for detecting irony in Twitter

    Antonio Reyes;Paolo Rosso;Tony Veale

  • From humor recognition to irony detection: The figurative language of social media

    Antonio Reyes;Paolo Rosso;Davide Buscaldi

  • An Evaluation Framework for Plagiarism Detection

    Martin Potthast;Benno Stein;Alberto Barrón-Cedeño;Paolo Rosso

  • Overview of the 2nd International Competition on Plagiarism Detection

    Martin Potthast;Alberto Barrón-Cedeño;Andreas Eiselt;Benno Stein

  • Cross-language plagiarism detection

    Martin Potthast;Alberto Barrón-Cedeño;Benno Stein;Paolo Rosso

  • Overview of the 2nd Author Profiling Task at PAN 2014

    Francisco Rangel;Paolo Rosso;Moshe Moshe Koppel;Efstathios Stamatatos

  • Overview of the 1st international competition on plagiarism detection

    Martin Potthast;Benno Stein;Andreas Eiselt;Alberto Barrón-Cedeno

  • SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter

    Aniruddha Ghosh;Guofu Li;Tony Veale;Paolo Rosso

  • ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy

    Yassine Benajiba;Paolo Rosso;José Miguel Benedíruiz

  • Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter.

    Francisco Manuel Rangel Pardo;Paolo Rosso;Martin Potthast;Benno Stein

  • Overview of the 4th Author Profiling Task at PAN 2016: Cross-genre Evaluations

    Francisco Manuel Rangel Pardo;Paolo Rosso;Ben Verhoeven;Walter Daelemans

  • A Comparison of Upper Ontologies.

    Viviana Mascardi;Valentina Cordì;Paolo Rosso

  • Making objective decisions from subjective data: Detecting irony in customer reviews

    Antonio Reyes;Paolo Rosso

  • Wikipedia vandalism detection: combining natural language, metadata, and reputation features

    B. Thomas Adler;Luca De Alfaro;Santiago M. Mola-Velasco;Paolo Rosso

  • Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation

    V. Mascardi;A. Locoro;P. Rosso

  • Convolutional Neural Networks for Authorship Attribution of Short Texts

    Prasha Shrestha;Sebastian Sierra;Fabio Gonzalez;Manuel Montes

  • Overview of the EVALITa 2018 task on automatic misogyny identification (AMI)

    Elisabetta Fersini;Debora Nozza;Paolo Rosso

  • Overview of the task on automatic misogyny identification at IberEval 2018

    Elisabetta Fersini;Paolo Rosso;Maria Anzovino

  • Detecting positive and negative deceptive opinions using PU-learning

    Donato Hernández Fusilier;Manuel Montes-y-Gómez;Paolo Rosso;Rafael Guzmán Cabrera

  • Improving the Reproducibility of PAN’s Shared Tasks:

    Martin Potthast;Tim Gollub;Francisco Rangel;Paolo Rosso

Frequent Co-Authors

Manuel Montes-y-Gómez
Manuel Montes-y-Gómez National Institute of Astrophysics, Optics and Electronics
Viviana Patti
Viviana Patti University of Turin
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Benno Stein
Benno Stein Bauhaus University, Weimar
Martin Potthast
Martin Potthast Leipzig University
Efstathios Stamatatos
Efstathios Stamatatos University of the Aegean
Simone Paolo Ponzetto
Simone Paolo Ponzetto University of Mannheim
Sivaji Bandyopadhyay
Sivaji Bandyopadhyay Jadavpur University
Fabio Crestani
Fabio Crestani Universita della Svizzera Italiana
Thamar Solorio
Thamar Solorio Mohamed bin Zayed University of Artificial Intelligence

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