World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
9700
World Ranking
8673
National Ranking
429

Phuoc Tran-Gia 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 Phuoc Tran-Gia 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: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Phuoc Tran-Gia 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 Phuoc Tran-Gia 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Phuoc Tran-Gia is affiliated with the University of Würzburg in Germany. Their research primarily spans the field of Computer Science, with notable contributions in its various subfields.

Their work encompasses a range of topics including:

  • Mobile Crowdsensing and Crowdsourcing
  • Open Source Software Innovations
  • Green IT and Sustainability
  • Human Mobility and Location-Based Analysis
  • Air Quality Monitoring and Forecasting
  • Advanced Queuing Theory Analysis
  • Network Traffic and Congestion Control

Phuoc Tran-Gia has authored multiple papers reflecting these interests. Recent publications include:

  • "White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges," 2020, published in arXiv (Cornell University)
  • "Performance Evaluation of Hybrid Crowdsensing and Fixed Sensor Systems for Event Detection in Urban Environments," 2021, published in Sensors
  • "Discrete-time Analysis of Multicomponent GI/GI/1 Queueing Networks," 2024, published by Technische Universität Berlin - Universitätsbibliothek

The scientist frequently collaborates with a group of co-authors, including:

  • Tobias Hoßfeld
  • Matthias Hirth
  • Stanislav Lange
  • Stefan Wunderer
  • André Beyer

Their work has appeared in respected venues such as:

  • arXiv (Cornell University)
  • Sensors
  • Technische Universität Berlin - Universitätsbibliothek

Best Publications

  • A generic quantitative relationship between quality of experience and quality of service

    M. Fiedler;T. Hossfeld;Phuoc Tran-Gia

  • A Survey on Quality of Experience of HTTP Adaptive Streaming

    Michael Seufert;Sebastian Egger;Martin Slanina;Thomas Zinner

  • Heuristic Approaches to the Controller Placement Problem in Large Scale SDN Networks

    Stanislav Lange;Steffen Gebert;Thomas Zinner;Phuoc Tran-Gia

  • Quantification of YouTube QoE via Crowdsourcing

    Tobias Hoßfeld;Michael Seufert;Matthias Hirth;Thomas Zinner

  • Modeling and performance evaluation of an OpenFlow architecture

    Michael Jarschel;Simon Oechsner;Daniel Schlosser;Rastin Pries

  • Pareto-optimal resilient controller placement in SDN-based core networks

    David Hock;Matthias Hartmann;Steffen Gebert;Michael Jarschel

  • Best Practices for QoE Crowdtesting: QoE Assessment With Crowdsourcing

    Tobias Hossfeld;Christian Keimel;Matthias Hirth;Bruno Gardlo

  • Interfaces, attributes, and use cases: A compass for SDN

    Michael Jarschel;Thomas Zinner;Tobias Hossfeld;Phuoc Tran-Gia

  • Modeling of customer retrial phenomenon in cellular mobile networks

    P. Tran-Gia;M. Mandjes

  • Anatomy of a Crowdsourcing Platform - Using the Example of Microworkers.com

    Matthias Hirth;Tobias Hoßfeld;Phuoc Tran-Gia

  • SDN-Based Application-Aware Networking on the Example of YouTube Video Streaming

    Michael Jarschel;Florian Wamser;Thomas Hohn;Thomas Zinner

  • Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms

    Matthias Hirth;Tobias Hoßfeld;Phuoc Tran-Gia

  • Spatial traffic estimation and characterization for mobile communication network design

    K. Tutschku;P. Tran-Gia

  • YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks

    Florian Wamser;Michael Seufert;Pedro Casas;Ralf Irmer

  • Implementation and user-centric comparison of a novel adaptation logic for DASH with SVC

    Christian Sieber;Tobias Hossfeld;Thomas Zinner;Phuoc Tran-Gia

  • POCO-framework for Pareto-optimal resilient controller placement in SDN-based core networks

    David Hock;Steffen Gebert;Matthias Hartmann;Thomas Zinner

  • Predicting QoE in cellular networks using machine learning and in-smartphone measurements

    Pedro Casas;Alessandro D'Alconzo;Florian Wamser;Michael Seufert

  • Design and experimental evaluation of network-assisted strategies for HTTP adaptive streaming

    G. Cofano;L. De Cicco;T. Zinner;A. Nguyen-Ngoc

  • Source Traffic Modeling of Wireless Applications

    Phuoc Tran-Gia;Dirk Staehle;Kenji Leibnitz

  • Group-based communication in WhatsApp

    Michael Seufert;Tobias Hosfeld;Anika Schwind;Valentin Burger

  • Performance analysis of a batch service queue arising out of manufacturing system modelling

    Hermann Gold;Phuoc Tran-Gia

Frequent Co-Authors

Tobias Hoßfeld
Tobias Hoßfeld University of Würzburg
Pedro Casas
Pedro Casas Austrian Institute of Technology
Adam Wolisz
Adam Wolisz Technical University of Berlin
Raimund Schatz
Raimund Schatz Austrian Institute of Technology
Ralf Steinmetz
Ralf Steinmetz Technical University of Darmstadt
Wolfgang Kellerer
Wolfgang Kellerer Technical University of Munich
Samuel Kounev
Samuel Kounev University of Würzburg
Yuval Shavitt
Yuval Shavitt Tel Aviv University
Saverio Mascolo
Saverio Mascolo Polytechnic University of Bari
Burkhard Stiller
Burkhard Stiller University of Zurich

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