World's Best Scientists 2026 revealed!
Pierluigi Crescenzi

Pierluigi Crescenzi

D-Index & Metrics

Computer Science

D-Index
34
Citations
7194
World Ranking
11967
National Ranking
405

Pierluigi Crescenzi 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 Pierluigi Crescenzi 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Pierluigi Crescenzi 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 Pierluigi Crescenzi 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Pierluigi Crescenzi is affiliated with the Gran Sasso Science Institute in Italy. Their research primarily focuses on various aspects of computer science, with a particular concentration on computer networks, data management, algorithms, and graph theory.

The main fields of study represented in their work include:

  • Computer Science

Within this broad field, their subfields of study cover:

  • Computer Networks and Communications
  • Signal Processing
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Transportation

Their research topics are centered around:

  • Opportunistic and Delay-Tolerant Networks
  • Data Management and Algorithms
  • Advanced Graph Theory Research
  • Mobile Ad Hoc Networks
  • Graph Theory and Algorithms
  • Human Mobility and Location-Based Analysis
  • Caching and Content Delivery

Recent papers authored or co-authored by Pierluigi Crescenzi include:

  • "Finding Top-k Nodes for Temporal Closeness in Large Temporal Graphs", 2020, Algorithms
  • "On computing Pareto optimal paths in weighted time-dependent networks", 2021, Information Processing Letters
  • "On Computing the Diameter of (Weighted) Link Streams", 2022, ACM Journal of Experimental Algorithmics
  • "Planning with Biological Neurons and Synapses", 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Maximizing reachability in a temporal graph obtained by assigning starting times to a collection of walks", 2022, Networks

Frequent co-authors associated with their work include:

  • Andrea Marino
  • Filippo Brunelli
  • Laurent Viennot
  • Emanuele Natale
  • Paulo Bruno S. Serafim

The venues where they have frequently published are:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • SSRN Electronic Journal
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Algorithms

Best Publications

  • Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties

    Giorgio Ausiello;Pierluigi Crescenzi;Giorgio Gambosi;Viggo Kann

  • Complexity and Approximation

    Giorgio Ausiello;Alberto Marchetti-Spaccamela;Pierluigi Crescenzi;Giorgio Gambosi

  • On the complexity of protein folding

    Pierluigi Crescenzi;Deborah Goldman;Christos H. Papadimitriou;Antonio Piccolboni

  • Introduction to the theory of complexity

    Daniel Pierre Bovet;Pierluigi Crescenzi

  • Approximation on the Web: A Compendium of NP Optimization Problems

    Pierluigi Crescenzi;Viggo Kann

  • MeDuSa: a multi-draft based scaffolder

    Emanuele Bosi;Beatrice Donati;Marco Galardini;Sara Brunetti

  • On the Complexity of Computing Minimum Energy Consumption Broadcast Subgraphs

    Andrea E. F. Clementi;Pierluigi Crescenzi;Paolo Penna;Gianluca Rossi

  • Completeness in approximation classes

    Pierluigi Crecenzi;Alessandro Panconesi

  • Approximate solution of NP optimization problems

    G. Ausiello;P. Crescenzi;M. Protasi

  • A note on optimal area algorithms for upward drawings of binary trees

    P. Crescenzi;G. Di Battista;A. Piperno

  • A uniform approach to define complexity classes

    Daniel P. Bovet;Pierluigi Crescenzi;Riccardo Silvestri

  • A short guide to approximation preserving reductions

    P. Crescenzi

  • Parsimonious flooding in dynamic graphs

    Hervé Baumann;Pierluigi Crescenzi;Pierre Fraigniaud

  • Reversible Execution and Visualization of Programs with LEONARDO

    Pierluigi Crescenzi;Camil Demetrescu;Irene Finocchi;Rossella Petreschi

  • Structure in Approximation Classes

    Pierluigi Crescenzi;Viggo Kann;Riccardo Silvestri;linebreak Luca Trevisan

  • On computing the diameter of real-world undirected graphs

    Pilu Crescenzi;Roberto Grossi;Michel Habib;Leonardo Lanzi

  • Parsimonious flooding in dynamic graphs

    Hervé Baumann;Pierluigi Crescenzi;Pierre Fraigniaud

  • On the complexity of protein folding (extended abstract)

    Pierluigi Crescenzi;Deborah Goldman;Christos Papadimitriou;Antonio Piccolboni

  • To Weight or Not to Weight: Where is the Question?

    Pierluigi Crescenzi;Riccardo Silvestri;Luca Trevisan

  • IP Address Lookup Made Fast and Simple

    Pierluigi Crescenzi;Leandro Dardini;Roberto Grossi

  • Greedily Improving Our Own Closeness Centrality in a Network

    Pierluigi Crescenzi;Gianlorenzo D'angelo;Lorenzo Severini;Yllka Velaj

  • Completeness in Approximation Classes

    Pierluigi Crescenzi;Alessandro Panconesi

Frequent Co-Authors

Luca Trevisan
Luca Trevisan Bocconi University
Marie-France Sagot
Marie-France Sagot Claude Bernard University Lyon 1
Andrea E. F. Clementi
Andrea E. F. Clementi University of Rome Tor Vergata
Pierre Fraigniaud
Pierre Fraigniaud Université Paris Cité
Alberto Marchetti-Spaccamela
Alberto Marchetti-Spaccamela Sapienza University of Rome
Michel Habib
Michel Habib Université Paris Cité
Christos H. Papadimitriou
Christos H. Papadimitriou Columbia University
Leen Stougie
Leen Stougie Centrum Wiskunde & Informatica
Daniel Gildea
Daniel Gildea University of Rochester
Mihalis Yannakakis
Mihalis Yannakakis Columbia University

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