World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7933
World Ranking
8342
National Ranking
405

Georg Carle 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 Georg Carle 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: 426 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Georg Carle 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 Georg Carle 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Georg Carle is affiliated with the Technical University of Munich in Germany. Their research intersects multiple areas within computer science and engineering, focusing extensively on computer networks and communications, artificial intelligence, and electrical and electronic engineering.

Their work primarily concentrates on topics such as software-defined networks and 5G, network security and intrusion detection, privacy-preserving technologies in data, age of information optimization, internet traffic analysis and secure e-voting, IoT and edge/fog computing, and advanced optical network technologies.

Georg Carle has authored numerous papers published in a variety of venues. Recent papers include:

  • Methodology and Infrastructure for TSN-Based Reproducible Network Experiments, 2022, IEEE Access
  • 5G URLLC: A Case Study on Low-Latency Intrusion Prevention, 2020, IEEE Communications Magazine
  • EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application, 2023, arXiv (Cornell University)
  • A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation, 2021, JMIR Medical Informatics
  • EnGINE: Flexible Research Infrastructure for Reliable and Scalable Time Sensitive Networks, 2022, Journal of Network and Systems Management

The frequent coauthors collaborating with Georg Carle are:

  • Johannes Zirngibl
  • Patrick Sattler
  • Sebastian Gallenmüller
  • Stephen S. Mwanje
  • Tianlun Hu

Among the common publication venues where Georg Carle's research appears are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
  • IEEE Transactions on Network and Service Management
  • Proceedings of the ACM on Networking

The scope of Georg Carle's research mostly falls under two main fields of study:

  • Computer Science
  • Engineering

Within these fields, subfields addressed include:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Information Systems
  • Hardware and Architecture

Best Publications

  • DTLS based security and two-way authentication for the Internet of Things

    Thomas Kothmayr;Corinna Schmitt;Wen Hu;Michael Brünig

  • MoonGen: A Scriptable High-Speed Packet Generator

    Paul Emmerich;Sebastian Gallenmüller;Daniel Raumer;Florian Wohlfart

  • Survey of error recovery techniques for IP-based audio-visual multicast applications

    G. Carle;E.W. Biersack

  • The SSL landscape: a thorough analysis of the x.509 PKI using active and passive measurements

    Ralph Holz;Lothar Braun;Nils Kammenhuber;Georg Carle

  • Framework model for packet loss metrics based on loss runlengths

    Henning A. Sanneck;G. Carle

  • A DTLS based end-to-end security architecture for the Internet of Things with two-way authentication

    Thomas Kothmayr;Corinna Schmitt;Wen Hu;Michael Brunig

  • Comparison of Frameworks for High-Performance Packet IO

    Sebastian Gallenmüller;Paul Emmerich;Florian Wohlfart;Daniel Raumer

  • Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

    Oliver Gasser;Quirin Scheitle;Pawel Foremski;Qasim Lone

  • Performance characteristics of virtual switching

    Paul Emmerich;Daniel Raumer;Florian Wohlfart;Georg Carle

  • Towards a Deeper Understanding of TCP BBR Congestion Control

    Dominik Scholz;Benedikt Jaeger;Lukas Schwaighofer;Daniel Raumer

  • How bad is reliable multicast without local recovery

    J. Nonnenmacher;M. Lacher;M. Jung;E.W. Biersack

  • Mission accomplished?: HTTPS security after diginotar

    Johanna Amann;Oliver Gasser;Quirin Scheitle;Lexi Brent

  • Comparing and improving current packet capturing solutions based on commodity hardware

    Lothar Braun;Alexander Didebulidze;Nils Kammenhuber;Georg Carle

  • Performance Implications of Packet Filtering with Linux eBPF

    Dominik Scholz;Daniel Raumer;Paul Emmerich;Alexander Kurtz

  • Real-time Analysis of Flow Data for Network Attack Detection

    G. Munz;G. Carle

  • Learning and Generating Distributed Routing Protocols Using Graph-Based Deep Learning

    Fabien Geyer;Georg Carle

  • Evaluation of building blocks for passive one-way-delay measurements

    Tanja Zseby;Sebastian Zander;Georg Carle

  • X.509 Forensics: Detecting and Localising the SSL/TLS Men-in-the-Middle

    Ralph Holz;Thomas Riedmaier;Nils Kammenhuber;Georg Carle

  • Cloud computing for the masses

    Marc Fouquet;Heiko Niedermayer;Georg Carle

  • Requirements for {IP} Flow Information Export

    J̈urgen Quitteck;Tanja Zseby;Sebastian Zander;Georg Carle

  • Indoor Positioning via Three Different RF Technologies

    Philipp Vorst;Juergen Sommer;Christian Hoene;Patrick Schneider

  • Protocols for High Speed Networks

    Georg Carle;Martina Zitterbart

Frequent Co-Authors

Falko Dressler
Falko Dressler Technical University of Berlin
Jochen Schiller
Jochen Schiller Freie Universität Berlin
Torsten Braun
Torsten Braun University of Bern
Christopher Kruegel
Christopher Kruegel University of California, Santa Barbara
Thomas C. Schmidt
Thomas C. Schmidt Hamburg University of Applied Sciences
Richard A. Kemmerer
Richard A. Kemmerer University of California, Santa Barbara
Wolfgang Kellerer
Wolfgang Kellerer Technical University of Munich
Jörg Raisch
Jörg Raisch Technical University of Berlin
Klaus Wehrle
Klaus Wehrle RWTH Aachen University

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