World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7030
World Ranking
10142
National Ranking
4275

Roberto Pieraccini 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 Pieraccini 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: 132 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Roberto Pieraccini 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 Pieraccini 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: 38 D-Index — 30th percentile

30% 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

  • 2010 - IEEE Fellow For contributions to statistical natural language understanding and spoken dialog management and learning

Overview

Roberto Pieraccini is a researcher affiliated with Google in the United States. Their academic and professional work primarily concentrates on computer science, with a particular focus on artificial intelligence and computer vision and pattern recognition.

The research output includes contributions to topics such as multimodal machine learning applications, topic modeling, speech and dialogue systems, domain adaptation and few-shot learning, and multi-agent systems and negotiation.

  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Speech and dialogue systems
  • Domain Adaptation and Few-Shot Learning
  • Multi-Agent Systems and Negotiation

Their recent publications include:

  • REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models, 2024, arXiv (Cornell University)
  • Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents, 2025, arXiv (Cornell University)

Frequent co-authors listed alongside Roberto Pieraccini are Ambuje Gupta, Mrinal Rawat, Andreas Stolcke, and Rushil Goomer.

  • Ambuje Gupta
  • Mrinal Rawat
  • Andreas Stolcke
  • Rushil Goomer

Regarding venues for publication, the researcher has notably contributed to arXiv (Cornell University) for at least two papers.

  • arXiv (Cornell University)

Roberto Pieraccini also has a book published by The MIT Press entitled AI Assistants released in 2021, which has been cited in academic literature.

Their contributions to the field of statistical natural language understanding and spoken dialog management and learning were recognized by the IEEE through the conferment of the IEEE Fellow award in 2010.

Best Publications

  • A stochastic model of human-machine interaction for learning dialog strategies

    E. Levin;R. Pieraccini;W. Eckert

  • Method of using a natural language interface to retrieve information from one or more data resources

    Esther Levin;Shrikanth Sambasivan Narayanan;Roberto Pieraccini;Ilija Zeljkovic

  • User modeling for spoken dialogue system evaluation

    W. Eckert;E. Levin;R. Pieraccini

  • Using Markov decision process for learning dialogue strategies

    E. Levin;R. Pieraccini;W. Eckert

  • Acoustic modeling for large vocabulary speech recognition

    C.H. Lee;L.R. Rabiner;R. Pieraccini;J.G. Wilpon

  • COMBINING ACOUSTIC AND LANGUAGE INFORMATION FOR EMOTION RECOGNITION

    Chul Min Lee;Shrikanth S. Narayanan;Roberto Pieraccini

  • Method and apparatus for multiple value confirmation and correction in spoken dialog systems

    Sasha Porto Caskey;Juan Manuel Huerta;Roberto Pieraccini

  • A stochastic model of computer-human interaction for learning dialogue strategies.

    Esther Levin;Roberto Pieraccini

  • Recognition of negative emotions from the speech signal

    C.M. Lee;S. Narayanan;R. Pieraccini

  • Dynamic planar warping for optical character recognition

    E. Levin;R. Pieraccini

  • The Voice in the Machine: Building Computers That Understand Speech

    Roberto Pieraccini

  • Learning dialogue strategies within the Markov decision process framework

    E. Levin;R. Pieraccini;W. Eckert

  • Automating spoken dialogue management design using machine learning: An industry perspective

    Tim Paek;Roberto Pieraccini

  • Word juncture modeling using inter-word context-dependent phone-like units.

    Egidio P. Giachin;Chin-Hui Lee;Lawrence R. Rabiner;Aaron E. Rosenberg

  • Natural language knowledge servers as network resources

    Edward Dennis Haszto;Esther Levin;Stephen Michael Marcus;Roberto Pieraccini

  • Stochastic automata for language modeling

    Giuseppe Riccardi;Roberto Pieraccini;Enrico Bocchieri

  • A speech understanding system based on statistical representation of semantics

    R. Pieraccini;E. Tzoukermann;Z. Gorelov;J.-L. Gauvain

  • The AT&t-DARPA communicator mixed-initiative spoken dialog system.

    Esther Levin;Shrikanth S. Narayanan;Roberto Pieraccini;Konstantin Biatov

  • Where do we go from here? Research and Commercial Spoken Dialog Systems.

    Roberto Pieraccini;Juan Huerta

  • Improved acoustic modeling for large vocabulary continuous speech recognition

    C.-H. Lee;E. Giachin;L.R. Rabiner;R. Pieraccini

Frequent Co-Authors

Lawrence R. Rabiner
Lawrence R. Rabiner Rutgers, The State University of New Jersey
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Brendan J. Frey
Brendan J. Frey University of Toronto
Andrea Cavallaro
Andrea Cavallaro Queen Mary University of London
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Aaron E. Rosenberg
Aaron E. Rosenberg AT&T (United States)
Fernando Pereira
Fernando Pereira Instituto Superior Técnico
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt

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