World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4547
World Ranking
13146
National Ranking
97

Philippas Tsigas 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 Philippas Tsigas 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: 243 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Philippas Tsigas 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 Philippas Tsigas 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

Philippas Tsigas is affiliated with Chalmers University of Technology in Sweden. Their research primarily spans the fields of Computer Science and Engineering, with a focus on several notable subfields including Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, and Electrical and Electronic Engineering.

Their main topics of work cover:

  • Distributed systems and fault tolerance
  • Stochastic Gradient Optimization Techniques
  • Advanced Database Systems and Queries
  • Parallel Computing and Optimization Techniques
  • Robotics and Sensor-Based Localization
  • Remote Sensing and LiDAR Applications
  • Cloud Computing and Resource Management

Philippas Tsigas has contributed to various research papers published in respected venues over recent years. Selected papers include:

  • "MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization," published in 2020 in the Journal of Parallel and Distributed Computing
  • "STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing," published in 2022 in IEEE Transactions on Parallel and Distributed Systems
  • "Concurrent linearizable nearest neighbour search in LockFree-kD-tree," published in 2021 in Theoretical Computer Science
  • "pi-Lisco," published in 2022 in the Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • "PARMA-CC: A family of parallel multiphase approximate cluster combining algorithms," published in 2023 in the Journal of Parallel and Distributed Computing

Frequently publishing in venues such as arXiv (Cornell University), the Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Systems, Theoretical Computer Science, and the Proceedings of the ACM/SIGAPP Symposium on Applied Computing, the researcher's work is situated within both theoretical and applied areas of computing.

Throughout their career, Philippas Tsigas has collaborated regularly with several coauthors, including:

  • Marina Papatriantafilou
  • Vincenzo Gulisano
  • Amir Keramatian
  • Hannaneh Najdataei
  • Ivan Walulya

Best Publications

  • Fast and lock-free concurrent priority queues for multi-thread systems

    Håkan Sundell;Philippas Tsigas

  • A Taxonomy of 3D Occlusion Management for Visualization

    N. Elmqvist;P. Tsigas

  • A simple, fast and scalable non-blocking concurrent FIFO queue for shared memory multiprocessor systems

    Philippas Tsigas;Yi Zhang

  • GPU-Quicksort: A practical Quicksort algorithm for graphics processors

    Daniel Cederman;Philippas Tsigas

  • A Practical Quicksort Algorithm for Graphics Processors

    Daniel Cederman;Philippas Tsigas

  • ContikiSec: A Secure Network Layer for Wireless Sensor Networks under the Contiki Operating System

    Lander Casado;Philippas Tsigas

  • PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

    S. Benkner;S. Pllana;J. L. Traff;P. Tsigas

  • On dynamic load balancing on graphics processors

    Daniel Cederman;Philippas Tsigas

  • A simple, fast parallel implementation of Quicksort and its performance evaluation on SUN Enterprise 10000

    P. Tsigas;Yi Zhang

  • Efficient and Reliable Lock-Free Memory Reclamation Based on Reference Counting

    A. Gidenstam;M. Papatriantafilou;H. Sundell;P. Tsigas

  • Scalable and lock-free concurrent dictionaries

    Håkan Sundell;Philippas Tsigas

  • Lock-free and practical doubly linked list-based deques using single-word compare-and-swap

    Håkan Sundell;Philippas Tsigas

  • CiteWiz: a tool for the visualization of scientific citation networks

    Niklas Elmqvist;Philippas Tsigas

  • Lock-free deques and doubly linked lists

    Håkan Sundell;Philippas Tsigas

  • Mitigating Distributed Denial of Service Attacks in Multiparty Applications in the Presence of Clock Drifts

    Zhang Fu;M. Papatriantafilou;P. Tsigas

  • Employing dynamic transparency for 3D occlusion management: design issues and evaluation

    Niklas Elmqvist;Ulf Assarsson;Philippas Tsigas

  • Causality visualization using animated growing polygons

    N. Elmqvist;P. Tsigas

  • A Taxonomy of 3D Occlusion Management Techniques

    N. Elmqvist;P. Tsigas

  • Evaluating the performance of non-blocking synchronization on shared-memory multiprocessors

    Philippas Tsigas;Yi Zhang

  • Integrating non-blocking synchronisation in parallel applications: performance advantages and methodologies

    Philippas Tsigas;Yi Zhang

  • DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data

    N. Elmqvist;J. Stasko;P. Tsigas

Frequent Co-Authors

Niklas Elmqvist
Niklas Elmqvist University of Maryland, College Park
Paul G. Spirakis
Paul G. Spirakis University of Liverpool
Shlomi Dolev
Shlomi Dolev Ben-Gurion University of the Negev
Dimitrios Soudris
Dimitrios Soudris National Technical University of Athens
Paul M. B. Vitányi
Paul M. B. Vitányi Centrum Wiskunde & Informatica
Peter Sanders
Peter Sanders Karlsruhe Institute of Technology
Eduardo Tovar
Eduardo Tovar Instituto Superior de Engenharia do Porto
Naveen Garg
Naveen Garg Indian Institute of Technology Delhi
Michalis Polychronakis
Michalis Polychronakis Stony Brook University
Federico Maggi
Federico Maggi University of Sydney

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