World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6815
World Ranking
9727
National Ranking
284

Maria Pia Fanti 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 Maria Pia Fanti 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Maria Pia Fanti 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 Maria Pia Fanti 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: 39 D-Index — 33rd percentile

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

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

Overview

Maria Pia Fanti is affiliated with the Polytechnic University of Bari in Italy. Their research output spans the field of engineering, with a focus on electrical and electronic engineering, computational theory and mathematics, automotive engineering, computer networks and communications, and industrial and manufacturing engineering.

The scientist's work covers several key topics, including:

  • Petri Nets in System Modeling
  • Electric Vehicles and Infrastructure
  • Transportation and Mobility Innovations
  • Formal Methods in Verification
  • IoT and Edge/Fog Computing
  • Business Process Modeling and Analysis
  • Transportation Planning and Optimization

Their recent papers illustrate a breadth of applications and research interests. Notable publications include:

  • "Prediction of home energy consumption based on gradient boosting regression tree," 2021, Energy Reports
  • "A Review of Digital Twin Technology for Electric and Autonomous Vehicles," 2023, Applied Sciences
  • "Automated location of steel truss bridge damage using machine learning and raw strain sensor data," 2022, Automation in Construction
  • "On the use of mechanics-informed models to structural engineering systems: Application of graph neural networks for structural analysis," 2023, Structures
  • "A new concept for large additive manufacturing in construction: tower crane-based 3D printing controlled by deep reinforcement learning," 2023, Construction Innovation

The scientist frequently collaborates with other researchers, with a significant number of joint publications alongside Enrique Herrera-Viedma, Róbert Kozma, Karen Panetta, Giancarlo Fortino, and David Mendonça.

Their publication record features contributions in a range of prestigious venues, including:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Automation Science and Engineering
  • IFAC-PapersOnLine
  • Zenodo (CERN European Organization for Nuclear Research)

The scope and variety of research outputs reflect engagement with both theoretical and applied aspects of engineering. The scientist's work addresses emerging technologies such as digital twins, machine learning applications in civil infrastructure, and advanced manufacturing controlled by reinforcement learning methods.

Best Publications

  • Deadlock control methods in automated manufacturing systems

    M.P. Fanti;MengChu Zhou

  • Event-based feedback control for deadlock avoidance in flexible production systems

    M.P. Fanti;B. Maione;S. Mascolo;A. Turchiano

  • Brief paper: On-line fault detection in discrete event systems by Petri nets and integer linear programming

    Mariagrazia Dotoli;Maria Pia Fanti;Agostino Marcello Mangini;Walter Ukovich

  • A signal timing plan formulation for urban traffic control

    Mariagrazia Dotoli;Maria Pia Fanti;Carlo Meloni

  • Prediction of home energy consumption based on gradient boosting regression tree

    Peng Nie;Michele Roccotelli;Maria Pia Fanti;Zhengfeng Ming

  • A model for supply management of agile manufacturing supply chains

    Nicola Costantino;Mariagrazia Dotoli;Marco Falagario;Maria Pia Fanti

  • Design and optimization of integrated E-supply chain for agile and environmentally conscious manufacturing

    M. Dotoli;M.P. Fanti;C. Meloni;MengChu Zhou

  • Deadlock Resolution in Computer-Integrated Systems

    MengChu Zhou;Maria Pia Fanti

  • An urban traffic network model via coloured timed Petri nets

    Mariagrazia Dotoli;Maria Pia Fanti

  • IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

    Bruno Siciliano;John Hollerbach;Ian D. Walker;Alex Zelinsky

  • Event-based controller to avoid deadlock and collisions in zone-control AGVS

    Maria Pia Fanti

  • A multi-level approach for network design of integrated supply chains

    M. Dotoli;M. P. Fanti;C. Meloni;M. C. Zhou

  • Decentralized Diagnosis by Petri Nets and Integer Linear Programming

    Xuya Cong;Maria Pia Fanti;Agostino Marcello Mangini;Zhiwu Li

  • Real time identification of discrete event systems using Petri nets

    Mariagrazia Dotoli;Maria Pia Fanti;Agostino Marcello Mangini

  • Comparing digraph and Petri net approaches to deadlock avoidance in FMS

    M.P. Fanti;B. Maione;B. Turchiano

  • Monitor design for colored Petri nets: An application to deadlock prevention in railway networks

    Maria Pia Fanti;A. Giua;C. Seatzu

  • Controllability of multi-input positive discrete-time systems

    M. P. Fanti;B. Maione;B. Turchiano

  • A First-Order Hybrid Petri Net Model for Supply Chain Management

    M. Dotoli;M.P. Fanti;G. Iacobellis;A.M. Mangini

  • A simulation based Decision Support System for logistics management

    Maria Pia Fanti;Giorgio Iacobellis;Walter Ukovich;Valentina Boschian

  • The impact of ICT on intermodal transportation systems: A modelling approach by Petri nets

    Mariagrazia Dotoli;Maria P. Fanti;Agostino M. Mangini;Gabriella Stecco

  • A Metamodeling Approach to the Management of Intermodal Transportation Networks

    V. Boschian;M. Dotoli;M. P. Fanti;G. Iacobellis

Frequent Co-Authors

Walter Ukovich
Walter Ukovich University of Trieste
Mariagrazia Dotoli
Mariagrazia Dotoli Polytechnic University of Bari
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Carla Seatzu
Carla Seatzu University of Cagliari
Chrysostomos D. Stylios
Chrysostomos D. Stylios University of Ioannina
Alessandro Giua
Alessandro Giua University of Cagliari
Saverio Mascolo
Saverio Mascolo Polytechnic University of Bari
Rafael Fierro
Rafael Fierro University of New Mexico
David Naso
David Naso Polytechnic University of Bari

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