World's Best Scientists 2026 revealed!
Roberto Tamassia

Roberto Tamassia

D-Index & Metrics

Computer Science

D-Index
73
Citations
24752
World Ranking
1569
National Ranking
820

Roberto Tamassia 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 Roberto Tamassia 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: 352 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Roberto Tamassia 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 Roberto Tamassia 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: 73 D-Index — 89th percentile

89% 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

  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - ACM Fellow For contributions to graph drawing, algorithms and data structures and to computer science education.
  • 2009 - IEEE Fellow For contributions to graph drawing and computer-science education
  • 2006 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering the field of graph drawing and for outstanding contributions to the design of graph and geometric algorithms

Overview

Roberto Tamassia is affiliated with Brown University in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, cryptography, and data security. Their research spans various subfields and topics related to data management, privacy, and algorithms.

Their recent publications reflect work primarily in privacy-preserving technologies and secure data handling methods. Notable papers include:

  • "The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures," 2022, Proceedings of the 2022 International Conference on Management of Data
  • "Attacks on Encrypted Response-Hiding Range Search Schemes in Multiple Dimensions," 2023, Proceedings on Privacy Enhancing Technologies
  • "Time- and Space-Efficient Aggregate Range Queries over Encrypted Databases," 2022, Proceedings on Privacy Enhancing Technologies
  • "Range Search over Encrypted Multi-Attribute Data," 2022, Proceedings of the VLDB Endowment
  • "The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures," 2020, arXiv (Cornell University)

Frequent collaborators in their research include Evangelia Anna Markatou, Zachary Espiritu, Francesca Falzon, Evgenios M. Kornaropoulos, and Silei Ren.

The primary venues in which they have published include:

  • Proceedings on Privacy Enhancing Technologies
  • Proceedings of the 2022 International Conference on Management of Data
  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)

Roberto Tamassia's main fields of study are centered in computer science, particularly artificial intelligence, with additional focus on management science and operations research, computational theory and mathematics, and signal processing.

Their key research topics encompass:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Internet Traffic Analysis and Secure E-voting
  • Data Quality and Management
  • Bayesian Modeling and Causal Inference
  • Complexity and Algorithms in Graphs
  • Data Management and Algorithms

Throughout their career, Roberto Tamassia has received several distinctions, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2012
  • ACM Fellow, 2012, for contributions to graph drawing, algorithms and data structures and to computer science education
  • IEEE Fellow, 2009, for contributions to graph drawing and computer-science education
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 2006, for pioneering the field of graph drawing and for outstanding contributions to the design of graph and geometric algorithms

Best Publications

  • Graph Drawing: Algorithms for the Visualization of Graphs

    Giuseppe Di Battista;Peter Eades;Roberto Tamassia;Ioannis G. Tollis

  • Algorithms for drawing graphs: an annotated bibliography

    Giuseppe Di Battista;Peter Eades;Roberto Tamassia;Ioannis G. Tollis

  • Dynamic provable data possession

    Chris Erway;Alptekin Küpçü;Charalampos Papamanthou;Roberto Tamassia

  • On embedding a graph in the grid with the minimum number of bends

    Roberto Tamassia

  • Data Structures and Algorithms in Java

    Michael T. Goodrich;Roberto Tamassia

  • Automatic graph drawing and readability of diagrams

    R. Tamassia;G. Di Battista;C. Batini

  • Handbook of Graph Drawing and Visualization

    Roberto Tamassia

  • A unified approach to visibility representations of planar graphs

    Roberto Tamassia;Ioannis G. Tollis

  • Dynamic Provable Data Possession

    C. Chris Erway;Alptekin Küpçü;Charalampos Papamanthou;Roberto Tamassia

  • On the Computational Complexity of Upward and Rectilinear Planarity Testing

    Ashim Garg;Roberto Tamassia

  • External-memory graph algorithms

    Yi-Jen Chiang;Michael T. Goodrich;Edward F. Grove;Roberto Tamassia

  • Algorithms for plane representations of acyclic digraphs

    Giuseppe Di Battista;Roberto Tamassia

  • On-Line Planarity Testing

    Giuseppe Di Battista;Roberto Tamassia

  • Deterministic Rendezvous in Graphs

    Anders Dessmark;Pierre Fraigniaud;Andrzej Pelc

  • Planar grid embedding in linear time

    R. Tamassia;I.G. Tollis

  • Authenticated Data Structures

    Roberto Tamassia

  • Privacy-preserving group data access via stateless oblivious RAM simulation

    Michael T. Goodrich;Michael Mitzenmacher;Olga Ohrimenko;Roberto Tamassia

  • Incremental planarity testing

    G. Di Battista;R. Tamassia

  • Algorithm Design: Foundations, Analysis, and Internet Examples

    Michael T. Goodrich;Roberto Tamassia

  • A layout algorithm for data flow diagrams

    C. Batini;E. Nardelli;R. Tamassia

  • External-Memory Graph Algorithms

    Yi-Feng Chian;Michael T. Goodrich;Edward Grove;Roberto Tamassia

Frequent Co-Authors

Michael T. Goodrich
Michael T. Goodrich University of California, Irvine
Giuseppe Di Battista
Giuseppe Di Battista Roma Tre University
Ioannis G. Tollis
Ioannis G. Tollis University of Crete
Giuseppe Liotta
Giuseppe Liotta University of Perugia
Danfeng Yao
Danfeng Yao Virginia Tech
Franco P. Preparata
Franco P. Preparata Brown University
Jeffrey Scott Vitter
Jeffrey Scott Vitter University of Mississippi
Michael Mitzenmacher
Michael Mitzenmacher Harvard University
Goce Trajcevski
Goce Trajcevski Iowa State University

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