World's Best Scientists 2026 revealed!
Piero Fariselli

Piero Fariselli

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
14598
World Ranking
4734
National Ranking
100

Piero Fariselli 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 Piero Fariselli 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: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Piero Fariselli 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 Piero Fariselli 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: 53 D-Index — 67th percentile

67% 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
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Piero Fariselli is affiliated with the University of Turin in Italy and has contributed extensively to research within biochemistry, genetics, and molecular biology as well as medicine. Their work spans a range of topics related to molecular and genomic sciences, with a specific focus on protein dynamics, genomics, and disease diagnosis.

The following recent papers illustrate the scope and focus of their research:

  • DOME: recommendations for supervised machine learning validation in biology, 2021, Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)
  • Caucasian lean subjects with non-alcoholic fatty liver disease share long-term prognosis of non-lean: time for reappraisal of BMI-driven approach?, 2021, Gut
  • Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease, 2021, Journal of Hepatology
  • Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine, 2020, Computational and Structural Biotechnology Journal
  • Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset, 2021, Briefings in Bioinformatics

Piero Fariselli frequently collaborates with a core group of co-authors, including:

  • Tiziana Sanavia
  • Giovanni Birolo
  • Cesare Rollo
  • Emidio Capriotti
  • Corrado Pancotti

Their publications are disseminated in various scientific venues, with several appearing multiple times in certain journals and repositories:

  • Blood
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Molecular Biosciences

The main fields of study for Piero Fariselli include biochemistry, genetics, molecular biology, and medicine. They have a significant body of work in molecular biology and genetics, with additional interests in artificial intelligence, cancer research, and epidemiology. These fields support a research agenda oriented toward understanding biological mechanisms and clinical applications.

The subfields and topics of interest that characterize their work include:

  • Molecular Biology
  • Genetics
  • Artificial Intelligence
  • Cancer Research
  • Epidemiology

  • RNA and protein synthesis mechanisms
  • Genomics and Phylogenetic Studies
  • Protein Structure and Dynamics
  • Genomics and Rare Diseases
  • Cancer Genomics and Diagnostics
  • Bioinformatics and Genomic Networks
  • Liver Disease Diagnosis and Treatment

Best Publications

  • I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.

    Emidio Capriotti;Piero Fariselli;Rita Casadio

  • Topology prediction for helical transmembrane proteins at 86% accuracy.

    Burkhard Rost;Piero Fariselli;Rita Casadio

  • Functional annotations improve the predictive score of human disease-related mutations in proteins

    Remo Calabrese;Emidio Capriotti;Piero Fariselli;Pier Luigi Martelli

  • Transmembrane helices predicted at 95% accuracy

    Burkhard Rost;Rita Casadio;Piero Fariselli;Chris Sander

  • ConSeq: the identification of functionally and structurally important residues in protein sequences

    Carine Berezin;Fabian Glaser;Josef Rosenberg;Inbal Paz

  • BUSCA: an integrative web server to predict subcellular localization of proteins.

    Castrense Savojardo;Pier Luigi Martelli;Piero Fariselli;Giuseppe Profiti;Giuseppe Profiti

  • BaCelLo: a Balanced subCellular Localization predictor.

    Andrea Pierleoni;Pier Luigi Martelli;Piero Fariselli;Rita Casadio

  • WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

    Emidio Capriotti;Remo Calabrese;Piero Fariselli;Pier Luigi Martelli

  • Prediction of protein--protein interaction sites in heterocomplexes with neural networks.

    Piero Fariselli;Florencio Pazos;Alfonso Valencia;Rita Casadio

  • A three-state prediction of single point mutations on protein stability changes

    Emidio Capriotti;Piero Fariselli;Ivan Rossi;Rita Casadio

  • Prediction of contact maps with neural networks and correlated mutations

    Piero Fariselli;Osvaldo Olmea;Alfonso Valencia;Rita Casadio

  • INPS-MD: a web server to predict stability of protein variants from sequence and structure

    Castrense Savojardo;Piero Fariselli;Pier Luigi Martelli;Rita Casadio

  • A sequence-profile-based HMM for predicting and discriminating beta barrel membrane proteins.

    Pier Luigi Martelli;Piero Fariselli;Anders Krogh;Rita Casadio

  • PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants

    Emidio Capriotti;Piero Fariselli

  • A neural-network-based method for predicting protein stability changes upon single point mutations

    Emidio Capriotti;Piero Fariselli;Rita Casadio

  • Predicting protein stability changes from sequences using support vector machines

    Emidio Capriotti;Piero Fariselli;Remo Calabrese;Rita Casadio

  • A neural network based predictor of residue contacts in proteins.

    P. Fariselli;R. Casadio

  • Progress and challenges in predicting protein–protein interaction sites

    Iakes Ezkurdia;Lisa Bartoli;Piero Fariselli;Rita Casadio

  • Role of evolutionary information in predicting the disulfide‐bonding state of cysteine in proteins

    Piero Fariselli;Paola Riccobelli;Rita Casadio

  • DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations

    Ludovica Montanucci;Emidio Capriotti;Yotam Frank;Nir Ben-Tal

  • Prediction of the transmembrane regions of β-barrel membrane proteins with a neural network-based predictor

    Irene Jacoboni;Pier Luigi Martelli;Piero Fariselli;Vito De Pinto

  • Predicting protein stability changes from sequence with Support Vector Machines

    Emidio Capriotti;Piero Fariselli;Remo Calabrese;Rita Casadio

Frequent Co-Authors

Rita Casadio
Rita Casadio University of Bologna
Alfonso Valencia
Alfonso Valencia Barcelona Supercomputing Center
Nir Ben-Tal
Nir Ben-Tal Tel Aviv University
Anders Krogh
Anders Krogh University of Copenhagen
Yves Moreau
Yves Moreau KU Leuven
Burkhard Rost
Burkhard Rost Technical University of Munich
Luca Fontanesi
Luca Fontanesi University of Bologna
David T. Jones
David T. Jones University College London
Giuseppe Matullo
Giuseppe Matullo University of Turin
Tomaso Patarnello
Tomaso Patarnello University of Padua

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