World's Best Scientists 2026 revealed!
Beatrice Lazzerini

Beatrice Lazzerini

D-Index & Metrics

Computer Science

D-Index
32
Citations
4668
World Ranking
13129
National Ranking
461

Beatrice Lazzerini 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 Beatrice Lazzerini 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: 229 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Beatrice Lazzerini 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 Beatrice Lazzerini 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Beatrice Lazzerini is affiliated with the University of Pisa in Italy. Their research primarily spans the fields of engineering, psychology, and medicine, with a particular focus on industrial and manufacturing engineering, social psychology, pharmacology, radiological and ultrasound technology, and experimental and cognitive psychology.

Their work covers various topics including ergonomics and musculoskeletal disorders, musculoskeletal pain and rehabilitation, occupational health and safety research, manufacturing process and optimization, sleep and work-related fatigue, occupational health in dentistry, and traffic and road safety.

Frequent collaborators in their research include Francesco Pistolesi, Michele Baldassini, Antonio Di Tecco, Michela Dalle Mura, and Gino Dini.

The primary venues for Beatrice Lazzerini's publications are:

  • IEEE Transactions on Industrial Informatics
  • Computers in Industry
  • IEEE Access
  • Journal of Intelligent Manufacturing
  • IEEE Journal of Biomedical and Health Informatics

Notable recent papers authored or coauthored by Beatrice Lazzerini include:

  • "Assessing the Risk of Low Back Pain and Injury via Inertial and Barometric Sensors" (2020) published in IEEE Transactions on Industrial Informatics
  • "A human-centric system combining smartwatch and LiDAR data to assess the risk of musculoskeletal disorders and improve ergonomics of Industry 5.0 manufacturing workers" (2023) published in Computers in Industry
  • "End-of-life product disassembly with priority-based extraction of dangerous parts" (2020) published in Journal of Intelligent Manufacturing
  • "Elicitation of Anxiety Without Time Pressure and Its Detection Using Physiological Signals and Artificial Intelligence: A Proof of Concept" (2024) published in IEEE Access
  • "A LiDAR-Based Recommendation System to Improve Sitting Posture Respecting Privacy" (2024) published in IEEE Journal of Biomedical and Health Informatics

Best Publications

  • Real-Time Detection of Traffic From Twitter Stream Analysis

    Eleonora D'Andrea;Pietro Ducange;Beatrice Lazzerini;Francesco Marcelloni

  • A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems

    R. Alcala;P. Ducange;F. Herrera;B. Lazzerini

  • A genetic algorithm for generating optimal assembly plans

    Beatrice Lazzerini;Francesco Marcelloni

  • Generation of Optimized Assembly Sequences Using Genetic Algorithms

    G. Dini;F. Failli;B. Lazzerini;F. Marcelloni

  • An intelligent system for detecting faults in photovoltaic fields

    Pietro Ducange;Michela Fazzolari;Beatrice Lazzerini;Francesco Marcelloni

  • A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems

    Marco Cococcioni;Pietro Ducange;Beatrice Lazzerini;Francesco Marcelloni

  • Fuzzy sets and their application to clustering and training

    D. Dumitrescu;B. Lazzerini;L. C. Jain

  • Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index

    Alessio Botta;Beatrice Lazzerini;Francesco Marcelloni;Dan C. Stefanescu

  • Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets

    Pietro Ducange;Beatrice Lazzerini;Francesco Marcelloni

  • EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing

    Francesco Pistolesi;Beatrice Lazzerini;Michela Dalle Mura;Gino Dini

  • Multi-objective evolutionary design of granular rule-based classifiers

    Michela Antonelli;Pietro Ducange;Beatrice Lazzerini;Francesco Marcelloni

  • Urban and social sensing for sustainable mobility in smart cities

    Giuseppe Anastasi;Michela Antonelli;Alessio Bechini;Simone Brienza

  • 24-hour-ahead forecasting of energy production in solar PV systems

    Marco Cococcioni;Eleonora D'Andrea;Beatrice Lazzerini

  • An electronic nose for odour annoyance assessment

    Fabio Di Francesco;Beatrice Lazzerini;Francesco Marcelloni;Giovanni Pioggia

  • Analyzing Risk Impact Factors Using Extended Fuzzy Cognitive Maps

    B Lazzerini;L Mkrtchyan

  • An artificial neural network approach to laser-induced breakdown spectroscopy quantitative analysis ☆

    Eleonora D’Andrea;Stefano Pagnotta;Emanuela Grifoni;Giulia Lorenzetti

  • Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques

    Marco Cococcioni;Beatrice Lazzerini;Sara Lioba Volpi

  • Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework

    Michela Antonelli;Pietro Ducange;Beatrice Lazzerini;Francesco Marcelloni

  • A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm

    P. Corsini;B. Lazzerini;F. Marcelloni

  • Evolutionary computation

    Unknown

  • A hybrid calibration‑free/artificial neural networks approach to the quantitative analysis of LIBS spectra

    Eleonora D’Andrea;Stefano Pagnotta;Emanuela Grifoni;Stefano Legnaioli

Frequent Co-Authors

Francesco Marcelloni
Francesco Marcelloni University of Pisa
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Luciano Serafini
Luciano Serafini Fondazione Bruno Kessler
Giovanna Castellano
Giovanna Castellano University of Bari Aldo Moro
Witold Pedrycz
Witold Pedrycz University of Alberta
Francisco Herrera
Francisco Herrera University of Granada
Danilo De Rossi
Danilo De Rossi University of Pisa
Giuseppe Anastasi
Giuseppe Anastasi University of Pisa
Roberto Passerone
Roberto Passerone University of Trento

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