World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7520
World Ranking
8813
National Ranking
245

Clara Pizzuti 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 Clara Pizzuti 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: 166 publications — 33rd percentile

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

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

Clara Pizzuti 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 Clara Pizzuti 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Clara Pizzuti is affiliated with the National Research Council (CNR) in Italy. Their research spans multiple fields, primarily focusing on Physics and Astronomy, Computer Science, and Social Sciences. Subfields of particular interest include Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Information Systems, and Sociology and Political Science.

The scientist's work revolves around topics such as Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Misinformation and Its Impacts, Advanced Graph Neural Networks, COVID-19 epidemiological studies, Network Security and Intrusion Detection, and Graph Theory and Applications.

Recent publications by Clara Pizzuti include:

  • "Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review", 2022, Artificial Intelligence in Medicine
  • "A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions", 2021, Swarm and Evolutionary Computation
  • "Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy", 2023, Computers in Biology and Medicine
  • "Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm", 2023, Artificial Intelligence Review
  • "Computation in Complex Networks", 2021, Entropy

Clara Pizzuti frequently coauthors with several researchers including Annalisa Socievole, Carmela Comito, Bara'a A. Attea, Amenah D. Abbood, and Ammar A. Hasan.

They publish regularly in venues such as Applied Network Science, Artificial Intelligence in Medicine, Swarm and Evolutionary Computation, Computers in Biology and Medicine, and Artificial Intelligence Review.

Best Publications

  • Fast Outlier Detection in High Dimensional Spaces

    Fabrizio Angiulli;Clara Pizzuti

  • GA-Net: A Genetic Algorithm for Community Detection in Social Networks

    Clara Pizzuti

  • Outlier mining in large high-dimensional data sets

    F. Angiulli;C. Pizzuti

  • Distance-based detection and prediction of outliers

    F. Angiulli;S. Basta;C. Pizzuti

  • A Multiobjective Genetic Algorithm to Find Communities in Complex Networks

    C. Pizzuti

  • An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks

    Francesco Folino;Clara Pizzuti

  • An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams

    G. Folino;C. Pizzuti;G. Spezzano

  • Evolutionary Computation for Community Detection in Networks: A Review

    Clara Pizzuti

  • A Multi-objective Genetic Algorithm for Community Detection in Networks

    Clara Pizzuti

  • Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods.

    Clara Pizzuti;Simona E. Rombo

  • A single pass algorithm for clustering evolving data streams based on swarm intelligence

    Agostino Forestiero;Clara Pizzuti;Giandomenico Spezzano

  • Is Normalized Mutual Information a Fair Measure for Comparing Community Detection Methods

    Alessia Amelio;Clara Pizzuti

  • Community detection in social networks with genetic algorithms

    Clara Pizzuti

  • Overlapped community detection in complex networks

    Clara Pizzuti

  • P-AutoClass: scalable parallel clustering for mining large data sets

    C. Pizzuti;D. Talia

  • GP ensemble for distributed intrusion detection systems

    Gianluigi Folino;Clara Pizzuti;Giandomenico Spezzano

  • A scalable cellular implementation of parallel genetic programming

    G. Folino;C. Pizzuti;G. Spezzano

  • Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees

    Gianluigi Folino;Clara Pizzuti;Giandomenico Spezzano

  • Parallel hybrid method for SAT that couples genetic algorithms and local search

    G. Folino;C. Pizzuti;G. Spezzano

  • Correction for Closeness: Adjusting Normalized Mutual Information Measure for Clustering Comparison

    Alessia Amelio;Clara Pizzuti

  • An ensemble-based evolutionary framework for coping with distributed intrusion detection

    Gianluigi Folino;Clara Pizzuti;Giandomenico Spezzano

Frequent Co-Authors

Domenico Talia
Domenico Talia University of Calabria
Marylyn D. Ritchie
Marylyn D. Ritchie University of Pennsylvania
Yaroslav D. Sergeyev
Yaroslav D. Sergeyev University of Calabria
Piet Van Mieghem
Piet Van Mieghem Delft University of Technology
Leonardo Vanneschi
Leonardo Vanneschi Universidade Nova de Lisboa
Marco Tomassini
Marco Tomassini University of Lausanne
Marc A. Smith
Marc A. Smith Connected Action Consulting Group
Elena Marchiori
Elena Marchiori Radboud University
Alfredo Cuzzocrea
Alfredo Cuzzocrea University of Calabria
Suat Ozdemir
Suat Ozdemir Hacettepe University

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