World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9122
World Ranking
5655
National Ranking
116

Torsten Braun 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 Torsten Braun 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: 508 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Torsten Braun 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 Torsten Braun 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Torsten Braun is affiliated with the University of Bern in Switzerland. Their research is primarily situated within the broad disciplines of computer science and engineering. A significant portion of their work focuses on computer networks and communications, electrical and electronic engineering, and artificial intelligence, with additional engagement in transportation and computer vision and pattern recognition.

The scientist has contributed to various topics, including IoT and edge/fog computing, privacy-preserving technologies in data, caching and content delivery, opportunistic and delay-tolerant networks, human mobility and location-based analysis, indoor and outdoor localization technologies, and image and video quality assessment.

Torsten Braun has coauthored research with several frequent collaborators. These include Antonio Di Maio, Zhongliang Zhao, Eric Samikwa, Dênis Rosário, and Eduardo Cerqueira.

Their recent publications include:

  • "ARES: Adaptive Resource-Aware Split Learning for Internet of Things" (2022) in Computer Networks
  • "WiFi-RITA Positioning: Enhanced Crowdsourcing Positioning Based on Massive Noisy User Traces" (2021) in IEEE Transactions on Wireless Communications
  • "Smart Unmanned Aerial Vehicles as base stations placement to improve the mobile network operations" (2021) in Computer Communications
  • "Fog Harvesting and IoT based Environment Monitoring System at the Ilalo volcano in Ecuador" (2020) in International Journal on Advanced Science Engineering and Information Technology
  • "DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT" (2023) in IEEE Internet of Things Journal

The venues where Torsten Braun frequently publishes include the IEEE Transactions on Network and Service Management, IEEE Internet of Things Journal, Bern Open Repository and Information System (University of Bern), Zenodo (CERN European Organization for Nuclear Research), and Computer Networks.

Best Publications

  • BLR: beacon-less routing algorithm for mobile ad hoc networks

    Marc HeissenbüTtel;Torsten Braun;Thomas Bernoulli;Markus WäLchli

  • The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides

    Bruno S Faiçal;Fausto G. Costa;Gustavo Pessin;Jó Ueyama

  • The use of unmanned aerial vehicles and wireless sensor network in agricultural applications

    Fausto G. Costa;Jo Ueyama;Torsten Braun;Gustavo Pessin

  • Network Store: Exploring Slicing in Future 5G Networks

    Navid Nikaein;Eryk Schiller;Romain Favraud;Kostas Katsalis

  • Ants-Based Routing in Large Scale Mobile Ad-Hoc Networks.

    Marc Heissenbüttel;Torsten Braun

  • UAVNet: A mobile wireless mesh network using Unmanned Aerial Vehicles

    Simon Morgenthaler;Torsten Braun;Zhongliang Zhao;Thomas Staub

  • Network Slices toward 5G Communications: Slicing the LTE Network

    Kostas Katsalis;Navid Nikaein;Eryk Schiller;Adlen Ksentini

  • On IoT-services: Survey, Classification and Enterprise Integration

    M. Thoma;S. Meyer;K. Sperner;S. Meissner

  • Flexible experimentation in wireless sensor networks

    Geoff Coulson;Barry Porter;Ioannis Chatzigiannakis;Christos Koninis

  • A dynamic adaptive acknowledgment strategy for TCP over multihop wireless networks

    R. de Oliveira;T. Braun

  • Optimized Stateless Broadcasting in Wireless Multi-Hop Networks

    M. Heissenbuttel;T. Braun;M. Walchli;T. Bernoulli

  • Protocol implementation using integrated layer processing

    Torsten Braun;Christophe Diot

  • Mobility Prediction-Assisted Over-the-Top Edge Prefetching for Hierarchical VANETs

    Zhongliang Zhao;Lucas Guardalben;Mostafa Karimzadeh;Jose Silva

  • Evaluating the limitations of and alternatives in beaconing

    Marc Heissenbüttel;Torsten Braun;Markus Wälchli;Thomas Bernoulli

  • A beaconless Opportunistic Routing based on a cross-layer approach for efficient video dissemination in mobile multimedia IoT applications

    Denis Lima do Rosario;Denis Lima do Rosario;Zhongliang Zhao;Aldri Santos;Torsten Braun

  • Proactive caching with mobility prediction under uncertainty in information-centric networks

    Noor Abani;Torsten Braun;Mario Gerla

  • Virtual Private Network Architecture

    T. Braun;M. Günter;M. Kasumi;I. Khalil

  • MaxMAC: a maximally traffic-adaptive MAC protocol for wireless sensor networks

    Philipp Hurni;Torsten Braun

  • Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources

    Wolfgang Kurtz;Andrei Lapin;Oliver S. Schilling;Qi Tang

  • Distributed Event Localization and Tracking with Wireless Sensors

    Markus Wälchli;Piotr Skoczylas;Michael Meer;Torsten Braun

  • Vehicular software-defined networking and fog computing: Integration and design principles

    Jéferson Campos Nobre;Allan Mariano de Souza;Allan Mariano de Souza;Denis do Rosário;Cristiano Both

  • Vehicular communication: a survey

    Eirini Kalogeiton;Torsten Braun

Frequent Co-Authors

Leandro A. Villas
Leandro A. Villas State University of Campinas
Mario Gerla
Mario Gerla University of California, Los Angeles
Yevgeni Koucheryavy
Yevgeni Koucheryavy National Research University Higher School of Economics
Silvia Giordano
Silvia Giordano University of Applied Sciences and Arts of Southern Switzerland
Christophe Diot
Christophe Diot Google (United States)
Burkhard Stiller
Burkhard Stiller University of Zurich
Georg Carle
Georg Carle Technical University of Munich
Kave Salamatian
Kave Salamatian University of Savoy Mont Blanc - Chambery
Antonio A. F. Loureiro
Antonio A. F. Loureiro Universidade Federal de Minas Gerais

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