World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6755
World Ranking
9732
National Ranking
285

Roberto Basili 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 Roberto Basili 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: 302 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.

Roberto Basili 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 Roberto Basili 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Roberto Basili is affiliated with the University of Rome Tor Vergata in Italy. Their research primarily focuses on the field of Computer Science, with a strong emphasis on Artificial Intelligence. Additional subfields include Computer Vision and Pattern Recognition, Molecular Biology, Safety Research, and Information Systems.

The scientist's work covers several main topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Sentiment Analysis and Opinion Mining
  • Hate Speech and Cyberbullying Detection
  • Text Readability and Simplification

Recent papers by Roberto Basili feature diverse applications and methodological advancements, such as:

  • Insideout project: Using big data and machine learning for prevention in psychiatry, 2021, European Psychiatry
  • Integrating Physical and Cognitive Interaction Capabilities in a Robot-Aided Rehabilitation Platform, 2023, IEEE Systems Journal
  • Adversarial training for few-shot text classification, 2021, Intelligenza Artificiale
  • AI-driven transcriptomic encoders: From explainable models to accurate, sample-independent cancer diagnostics, 2024, Expert Systems with Applications
  • U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models, 2024, Italian Journal of Computational Linguistics

Basili collaborates frequently with other researchers, including:

  • Danilo Croce
  • Claudiu Daniel Hromei
  • Lorenzo Cristofori
  • Christian Tamantini
  • Francesco Scotto di Luzio

Much of their research has been published in venues such as the Italian Journal of Computational Linguistics, Intelligenza Artificiale, Zenodo (CERN European Organization for Nuclear Research), European Psychiatry, and IEEE Systems Journal.

Basili has also contributed to academic literature through book publications, including a work published by Springer Science+Business Media titled AIxIA 2023 - Advances in Artificial Intelligence, which appeared in 2023.

Best Publications

  • The Database of Individual Seismogenic Sources (DISS), version 3: Summarizing 20 years of research on Italy's earthquake geology

    Roberto Basili;Gianluca Valensise;Paola Vannoli;Pierfrancesco Burrato

  • Toward a ground-motion logic tree for probabilistic seismic hazard assessment in Europe

    Elise Delavaud;Fabrice Cotton;Fabrice Cotton;Sinan Akkar;Frank Scherbaum

  • Complex Linguistic Features for Text Classification: A Comprehensive Study

    Alessandro Moschitti;Roberto Basili

  • Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

    Alessandro Moschitti;Silvia Quarteroni;Roberto Basili;Suresh Manandhar

  • Tree kernels for semantic role labeling

    Alessandro Moschitti;Alessandro Moschitti;Alessandro Moschitti;Daniele Pighin;Daniele Pighin;Daniele Pighin;Roberto Basili;Roberto Basili;Roberto Basili

  • GAN-BERT: Generative adversarial learning for robust text classification with a bunch of labeled examples

    Danilo Croce;Giuseppe Castellucci;Roberto Basili

  • Earthquake‐generated tsunamis in the Mediterranean Sea: Scenarios of potential threats to Southern Italy

    Stefano Lorito;Mara Monica Tiberti;Roberto Basili;Alessio Piatanesi

  • Building the Italian Syntactic-Semantic Treebank

    Simonetta Montemagni;Francesco Barsotti;Marco Battista;Nicoletta Calzolari

  • The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)

    Roberto Basili;Beatriz Brizuela;André Herrero;Sarfraz Iqbal

  • Structured Lexical Similarity via Convolution Kernels on Dependency Trees

    Danilo Croce;Alessandro Moschitti;Roberto Basili

  • Probabilistic tsunami hazard and Risk analysis: a review of research gaps

    Jörn Behrens;Finn Løvholt;Fatemeh Jalayer;Stefano Lorito

  • Identification of relevant terms to support the construction of domain ontologies

    Paola Velardi;Michele Missikoff;Roberto Basili

  • Probabilistic hazard for seismically induced tsunamis: accuracy and feasibility of inundation maps

    S. Lorito;J. Selva;R. Basili;F. Romano

  • A global probabilistic tsunami hazard assessment from earthquake sources

    Gareth Davies;Jonathan Griffin;Finn Lovholt;Sylfest Glimsdal

  • Quantification of source uncertainties in Seismic Probabilistic Tsunami Hazard Analysis (SPTHA)

    Jacopo Selva;Roberto Tonini;Irene Molinari;Mara Monica Tiberti

  • Classification of musical genre: a machine learning approach.

    Roberto Basili;Alfredo Serafini;Armando Stellato

  • A context-based model for Sentiment Analysis in Twitter

    Andrea Vanzo;Danilo Croce;Roberto Basili

  • KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers

    Simone Filice;Danilo Croce;Alessandro Moschitti;Roberto Basili

  • Parsing engineering and empirical robustness

    Roberto Basili;Fabio Massimo Zanzotto

  • Probabilistic tsunami forecasting for early warning.

    J Selva;S Lorito;M Volpe;F Romano

  • Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity

    Stephan Bloehdorn;Roberto Basili;Marco Cammisa;Alessandro Moschitti

Frequent Co-Authors

Alessandro Moschitti
Alessandro Moschitti Amazon (United States)
Daniele Nardi
Daniele Nardi Sapienza University of Rome
Pierfrancesco Burrato
Pierfrancesco Burrato National Institute of Geophysics and Volcanology
Gianluca Valensise
Gianluca Valensise National Institute of Geophysics and Volcanology
Paola Velardi
Paola Velardi Sapienza University of Rome
Jacopo Selva
Jacopo Selva National Institute of Geophysics and Volcanology
Alessio Piatanesi
Alessio Piatanesi National Institute of Geophysics and Volcanology
Alberto Michelini
Alberto Michelini National Institute of Geophysics and Volcanology
Andrey Babeyko
Andrey Babeyko Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
Miquel Canals
Miquel Canals University of Barcelona

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