World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11080
World Ranking
5071
National Ranking
107

Giancarlo Mauri 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 Giancarlo Mauri 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: 517 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Giancarlo Mauri 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 Giancarlo Mauri 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Giancarlo Mauri is affiliated with the University of Milano-Bicocca in Italy and has a research profile spanning multiple interdisciplinary domains. Their work integrates fields such as Biochemistry, Genetics and Molecular Biology alongside Computer Science, reflecting a blend of life sciences and computational methods.

Their research output includes a focus on Molecular Biology as a primary subfield, complemented by contributions in Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, as well as Radiology, Nuclear Medicine and Imaging.

Mauri's work addresses key topics including:

  • DNA and Biological Computing
  • Advanced biosensing and bioanalysis techniques
  • AI in cancer detection
  • Modular Robots and Swarm Intelligence
  • Cell Image Analysis Techniques
  • Microbial Metabolic Engineering and Bioproduction
  • Radiomics and Machine Learning in Medical Imaging

The recent publications by Mauri and collaborators illustrate a wide spectrum of research areas and methodologies. Selected papers include:

  • "A framework for validating AI in precision medicine: considerations from the European ITFoC consortium", 2021, published in BMC Medical Informatics and Decision Making
  • "Simulating the Fredkin Gate with Energy-Based P Systems", 2020, published in BOA (University of Milano-Bicocca)
  • "Spiking neural P systems: main ideas and results", 2022, published in Natural Computing
  • "Top-k overlapping densest subgraphs: approximation algorithms and computational complexity", 2020, published in Journal of Combinatorial Optimization
  • "A Low-Dose CT-Based Radiomic Model to Improve Characterization and Screening Recall Intervals of Indeterminate Prevalent Pulmonary Nodules", 2021, published in Diagnostics

Frequent collaboration is a notable aspect of Mauri's research activities. Frequent co-authors include Marco S. Nobile, Luca Manzoni, Paolo Cazzaniga, Alberto Leporati, and Claudio Zandron, with collaboration counts ranging from eight to ten publications per collaborator.

Their research has been published repeatedly in several venues, most prominently:

  • Journal of Membrane Computing
  • Natural Computing
  • Applied Sciences
  • PLoS Computational Biology
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes

    Giulio Pavesi;Paolo Mereghetti;Giancarlo Mauri;Graziano Pesole

  • An algorithm for finding signals of unknown length in DNA sequences

    Giulio Pavesi;Giancarlo Mauri;Graziano Pesole

  • Solving NP-complete problems using P systems with active membranes

    C Zandron;C Ferretti;G Mauri

  • GAN-based synthetic brain MR image generation

    Changhee Han;Hideaki Hayashi;Leonardo Rundo;Ryosuke Araki

  • USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

    Leonardo Rundo;Changhee Han;Yudai Nagano;Jin Zhang

  • Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization

    Marco S. Nobile;Paolo Cazzaniga;Daniela Besozzi;Riccardo Colombo

  • Combining noise-to-image and image-to-image GANs: Brain MR image augmentation for tumor detection

    Changhee Han;Leonardo Rundo;Ryosuke Araki;Yudai Nagano

  • OBJSA nets: a class of high-level nets having objects as domains

    E. Battiston;F. DeCindio;G. Mauri

  • Massive Exploration of Perturbed Conditions of the Blood Coagulation Cascade through GPU Parallelization

    Paolo Cazzaniga;Marco S. Nobile;Daniela Besozzi;Matteo Bellini

  • OBJSA Nets: a class of high-level nets having objects as domains

    E. Battiston;F. De Cindio;G. Mauri

  • On the Computational Power of Spiking Neural P Systems

    Alberto Leporati;Claudio Zandron;Claudio Ferretti;Giancarlo Mauri

  • Uniform solutions to SAT and Subset Sum by spiking neural P systems

    Alberto Leporati;Giancarlo Mauri;Claudio Zandron;Gheorghe Păun

  • Cellular automata: from a theoretical parallel computational model to its application to complex system

    S. Bandini;G. Mauri;R. Serra

  • MTGO: PPI Network Analysis Via Topological and Functional Module Identification

    Danila Vella;Simone Marini;Francesca Vitali;Dario Di Silvestre

  • In silico representation and discovery of transcription factor binding sites

    Giulio Pavesi;Giancarlo Mauri;Graziano Pesole

  • DYNAMICAL PROBABILISTIC P SYSTEMS

    Dario Pescini;Daniela Besozzi;Giancarlo Mauri;Claudio Zandron

  • A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect.

    Chiara Damiani;Riccardo Colombo;Daniela Gaglio;Fabrizia Mastroianni

  • Cellular automata in fuzzy backgrounds

    G. Cattaneo;P. Flocchini;G. Mauri;C. Quaranta Vogliotti

  • Integration of single-cell RNA-seq data into population models to characterize cancer metabolism

    Chiara Damiani;Davide Maspero;Marzia Di Filippo;Riccardo Colombo

  • MedGA: A novel evolutionary method for image enhancement in medical imaging systems

    Leonardo Rundo;Leonardo Rundo;Andrea Tangherloni;Marco S. Nobile;Carmelo Militello

  • Overview of BITS2005, the Second Annual Meeting of the Italian Bioinformatics Society

    Manuela Helmer-Citterich;Rita Casadio;Alessandro Guffanti;Giancarlo Mauri

Frequent Co-Authors

Leonardo Vanneschi
Leonardo Vanneschi Universidade Nova de Lisboa
Bud Mishra
Bud Mishra New York University
Graziano Pesole
Graziano Pesole University of Bari Aldo Moro
Gianluca Castelnuovo
Gianluca Castelnuovo Catholic University of the Sacred Heart
Hans V. Westerhoff
Hans V. Westerhoff Vrije Universiteit Amsterdam
Lilia Alberghina
Lilia Alberghina University of Milano-Bicocca
Mario J. Pérez-Jiménez
Mario J. Pérez-Jiménez University of Seville
Paolo Provero
Paolo Provero University of Turin
Alberto d’Onofrio
Alberto d’Onofrio University of Trieste
Daniele Merico
Daniele Merico University of Toronto

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