World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9170
World Ranking
10016
National Ranking
13

Thomas Engel 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 Thomas Engel 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: 362 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Thomas Engel 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 Thomas Engel 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Thomas Engel is affiliated with the University of Luxembourg in Luxembourg. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Artificial Intelligence, Electrical and Electronic Engineering, and Computer Networks and Communications. They have also contributed to Astronomy and Astrophysics as well as Signal Processing.

Their work covers several major topics, including Vehicular Ad Hoc Networks (VANETs), Privacy-Preserving Technologies in Data, Internet Traffic Analysis and Secure E-voting, Network Security and Intrusion Detection, Dark Matter and Cosmic Phenomena, Relativity and Gravitational Theory, and Cosmology and Gravitation Theories.

Thomas Engel's recent publications include:

  • "A Survey on Machine Learning-Based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks" (2023), published in IEEE Communications Surveys & Tutorials
  • "Survey: Time-series data preprocessing: A survey and an empirical analysis" (2024), published in Journal of Engineering Research
  • "A Survey on Controller Area Network Reverse Engineering" (2023), published in IEEE Communications Surveys & Tutorials
  • "Federated learning-based scheme for detecting passive mobile attackers in 5G vehicular edge computing" (2021), published in Annals of Telecommunications
  • "Consortium Blockchain for Cooperative Location Privacy Preservation in 5G-Enabled Vehicular Fog Computing" (2021), published in IEEE Transactions on Vehicular Technology

They frequently collaborate with several co-authors, including Abdelwahab Boualouache, Ion Turcanu, Amal Tawakuli, Marharyta Aleksandrova, and Alessio Buscemi. These collaborations highlight ongoing partnerships in various research initiatives.

Thomas Engel has published extensively in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Communications Surveys & Tutorials, Journal of Engineering Research, and IEEE Transactions on Vehicular Technology.

Best Publications

  • Internet of Things in the 5G Era: Enablers, Architecture, and Business Models

    Maria Rita Palattella;Mischa Dohler;Alfredo Grieco;Gianluca Rizzo

  • Website fingerprinting in onion routing based anonymization networks

    Andriy Panchenko;Lukas Niessen;Andreas Zinnen;Thomas Engel

  • Website Fingerprinting at Internet Scale

    Andriy Panchenko;Fabian Lanze;Andreas Zinnen;Martin Henze

  • Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring

    German Castignani;Thierry Derrmann;Raphael Frank;Thomas Engel

  • Luxembourg SUMO Traffic (LuST) Scenario: 24 hours of mobility for vehicular networking research

    Lara Codeca;Raphael Frank;Thomas Engel

  • On Optimal Scheduling in Duty-Cycled Industrial IoT Applications Using IEEE802.15.4e TSCH

    Maria Rita Palattella;Nicola Accettura;Luigi Alfredo Grieco;Gennaro Boggia

  • Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation

    Lara Codeca;Raphael Frank;Sebastien Faye;Thomas Engel

  • PhishStorm: Detecting Phishing With Streaming Analytics

    Samuel Marchal;Jérôme François;Radu State;Thomas Engel

  • A Big Data Architecture for Large Scale Security Monitoring

    Samuel Marchal;Xiuyan Jiang;Radu State;Thomas Engel

  • BotTrack: tracking botnets using NetFlow and PageRank

    Jérôme François;Shaonan Wang;Radu State;Thomas Engel

  • A Survey on Machine Learning-Based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks

    Unknown

  • On-the-Fly Bandwidth Reservation for 6TiSCH Wireless Industrial Networks

    Maria Rita Palattella;Thomas Watteyne;Qin Wang;Kazushi Muraoka

  • BotCloud: Detecting botnets using MapReduce

    Jerome Francois;Shaonan Wang;Walter Bronzi;Radu State

  • Bluetooth Low Energy: An alternative technology for VANET applications

    Raphael Frank;Walter Bronzi;German Castignani;Thomas Engel

  • TrafficSliver: Fighting Website Fingerprinting Attacks with Traffic Splitting

    Wladimir De la Cadena;Asya Mitseva;Jens Hiller;Jan Pennekamp

  • 6TiSCH centralized scheduling: When SDN meet IoT

    Pascal Thubert;Maria Rita Palattella;Thomas Engel

  • Using opcode-sequences to detect malicious Android applications

    Quentin Jerome;Kevin Allix;Radu State;Thomas Engel

  • Machine learning approach for IP-flow record anomaly detection

    Cynthia Wagner;Jérôme François;Radu State;Thomas Engel

  • 6TiSCH Wireless Industrial Networks: Determinism Meets IPv6

    Maria Rita Palattella;Pascal Thubert;Xavier Vilajosana;Thomas Watteyne

  • Towards A Taxonomy of Autonomous Vehicle Handover Situations

    Roderick McCall;Fintan McGee;Alexander Meschtscherjakov;Nicolas Louveton

  • Driver behavior profiling using smartphones

    German Castignani;Raphael Frank;Thomas Engel

  • IoT Device Fingerprinting: Machine Learning based Encrypted Traffic Analysis

    Nizar Msadek;Ridha Soua;Thomas Engel

Frequent Co-Authors

Radu State
Radu State University of Luxembourg
Christoph Meinel
Christoph Meinel Hasso Plattner Institute
Klaus Wehrle
Klaus Wehrle RWTH Aachen University
Hartmut Ehrig
Hartmut Ehrig Technical University of Berlin
Manfred Tscheligi
Manfred Tscheligi University of Salzburg
Torsten Braun
Torsten Braun University of Bern
Mario Gerla
Mario Gerla University of California, Los Angeles
David Basin
David Basin ETH Zurich
Raouf Boutaba
Raouf Boutaba University of Waterloo
Luigi Alfredo Grieco
Luigi Alfredo Grieco Polytechnic University of Bari

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