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Computer Science
Italy
2025

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Computer Science

D-Index
56
Citations
8985
World Ranking
4160
National Ranking
86

Pier Luca Lanzi 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 Pier Luca Lanzi 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Pier Luca Lanzi 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 Pier Luca Lanzi 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: 56 D-Index — 72nd percentile

72% 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 Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Pier Luca Lanzi is affiliated with the Polytechnic University of Milan in Italy. Their research spans multiple disciplines within computer science and medicine, focusing in particular on applications of artificial intelligence and virtual reality.

The scientist's main fields of study include:

  • Computer Science
  • Medicine

Within these broader fields, their subfields of study encompass:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Developmental and Educational Psychology

The primary research topics covered by their work include:

  • Artificial Intelligence in Games
  • Virtual Reality Applications and Impacts
  • Radiomics and Machine Learning in Medical Imaging
  • Educational Games and Gamification
  • COVID-19 diagnosis using AI
  • Digital Games and Media
  • Evolutionary Algorithms and Applications

The scientist's recent papers illustrate these topics and fields in practice, including:

  • ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design (2023) published in Proceedings of the Genetic and Evolutionary Computation Conference
  • Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI (2021) published in European Journal of Nuclear Medicine and Molecular Imaging
  • An educational experience in ancient Rome to evaluate the impact of virtual reality on human learning processes (2023) published in Computers & Education X Reality
  • A virtual reality classroom to teach and explore crystal solid state structures (2022) published in Multimedia Tools and Applications
  • Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs (2022) published in Diagnostics

The scientist frequently collaborates with several co-authors, including:

  • Daniele Loiacono
  • Edoardo Giacomello
  • Paolo Boffi
  • M. Clerici
  • Alberto Gallace

Their publications are disseminated in a range of venues with multiple works appearing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • European Journal of Nuclear Medicine and Molecular Imaging
  • Computers & Education X Reality

Best Publications

  • Mining interesting knowledge from weblogs: a survey

    Federico Michele Facca;Pier Luca Lanzi

  • An analysis of generalization in the xcs classifier system

    Pier Luca Lanzi

  • Toward a theory of generalization and learning in XCS

    M.V. Butz;T. Kovacs;P.L. Lanzi;S.W. Wilson

  • Architectures for an Event Notification Service Scalable to Wide-area Networks

    Antonio Carzaniga;Luciano Baresi;Gino Biondini;Fabiano Cattaneo

  • Learning Classifier Systems, From Foundations to Applications

    Pier Luca Lanzi;Wolfgang Stolzmann;Stewart W. Wilson

  • Learning Classifier Systems

    Larry Bull;Pier Luca Lanzi;Wolfgang Stolzmann

  • Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems

    Fabrizio Ferrandi;Pier Luca Lanzi;Christian Pilato;Donatella Sciuto

  • Exergaming and rehabilitation: A methodology for the design of effective and safe therapeutic exergames

    Michele Pirovano;Elif Surer;Renato Mainetti;Pier Luca Lanzi

  • Extending the representation of classifier conditions part I: from binary to messy coding

    Pier Luca Lanzi

  • Procedural Content Generation: Goals, Challenges and Actionable Steps

    Julian Togelius;Alex J. Champandard;Pier Luca Lanzi;Michael Mateas

  • What Is a Learning Classifier System

    John H. Holland;Lashon B. Booker;Marco Colombetti;Marco Dorigo

  • Fast feature selection with genetic algorithms: a filter approach

    P.L. Lanzi

  • Self-adaptive games for rehabilitation at home

    Michele Pirovano;Renato Mainetti;Gabriel Baud-Bovy;Pier Luca Lanzi

  • Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction

    M.V. Butz;P.L. Lanzi;S.W. Wilson

  • Computational Intelligence and Game Design for Effective At-Home Stroke Rehabilitation

    Nunzio Alberto Borghese;Michele Pirovano;Pier Luca Lanzi;Seline Wüest

  • Learning classifier systems: New models, successful applications

    John H. Holmes;Pier Luca Lanzi;Wolfgang Stolzmann;Stewart W. Wilson

  • The 2009 Simulated Car Racing Championship

    Daniele Loiacono;Pier Luca Lanzi;Julian Togelius;Enrique Onieva

  • Toward Optimal Classifier System Performance in Non-Markov Environments

    Pier Luca Lanzi;Stewart W. Wilson

  • Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems

    M.V. Butz;D.E. Goldberg;P.L. Lanzi

  • Learning classifier systems: then and now

    Pier Luca Lanzi

  • Advances in Learning Classifier Systems

    Unknown

  • Genetic and Evolutionary Computation – GECCO 2004

    Unknown

Frequent Co-Authors

Stewart W. Wilson
Stewart W. Wilson University of Illinois at Urbana-Champaign
David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign
Martin V. Butz
Martin V. Butz University of Tübingen
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Larry Bull
Larry Bull University of the West of England
Kumara Sastry
Kumara Sastry University of Illinois at Urbana-Champaign
Stefano Ceri
Stefano Ceri Polytechnic University of Milan
Julian Togelius
Julian Togelius New York University
N. Alberto Borghese
N. Alberto Borghese University of Milan
Rick L. Riolo
Rick L. Riolo University of Michigan–Ann Arbor

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