World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
7554
World Ranking
3580
National Ranking
102

Computer Science

D-Index
45
Citations
7707
World Ranking
7248
National Ranking
354

Lars Wolf publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Lars Wolf sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 321 publications — 62nd percentile

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

The last bar groups every scientist with 1,065 publications or more.

Lars Wolf D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Lars Wolf sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Lars Wolf is affiliated with the Technische Universität Braunschweig in Germany. Their research spans various fields within computer science and engineering, with a notable focus on communication networks and related technologies.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broader areas, Wolf has concentrated on several subfields, such as:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

Wolf's work covers multiple topics related to wireless and networked systems, including:

  • Energy Efficient Wireless Sensor Networks
  • IoT and Edge/Fog Computing
  • Age of Information Optimization
  • Vehicular Ad Hoc Networks (VANETs)
  • Opportunistic and Delay-Tolerant Networks
  • Caching and Content Delivery
  • Mobile Ad Hoc Networks

Their recent publications demonstrate contributions to communication protocol design, edge artificial intelligence, information redundancy, and satellite communication evaluation. Selected recent papers include:

  • "IBR-DTN: A lightweight, modular and highly portable Bundle Protocol implementation", 2024, Technische Universität Berlin - Universitätsbibliothek
  • "Roadmap for edge AI", 2022, ACM SIGCOMM Computer Communication Review
  • "Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception", 2022, IEEE Access
  • "ns-3-leo: Evaluation Tool for Satellite Swarm Communication Protocols", 2022, IEEE Access
  • "Large Minimum Redundancy Linear Arrays: Systematic Search of Perfect and Optimal Rulers Exploiting Parallel Processing", 2020, IEEE Open Journal of Antennas and Propagation

Wolf frequently publishes in venues that emphasize open access and technical depth, such as:

  • arXiv (Cornell University)
  • IEEE Access
  • Technische Universität Berlin - Universitätsbibliothek
  • IEEE Intelligent Transportation Systems Magazine
  • IEEE Transactions on AgriFood Electronics

Collaboration has been a consistent element in Wolf's career. Frequent co-authors include:

  • Keno Garlichs
  • Ulf Kulau
  • Jan Schlichter
  • Sebastian Schildt
  • Lennart Almstedt

Best Publications

  • On the impact of delay on real-time multiplayer games

    Lothar Pantel;Lars C. Wolf

  • A cluster-based security architecture for ad hoc networks

    M. Bechler;H.-J. Hof;D. Kraft;F. Pahlke

  • Analysis of factors affecting players' performance and perception in multiplayer games

    Matthias Dick;Oliver Wellnitz;Lars Wolf

  • On the suitability of dead reckoning schemes for games

    Lothar Pantel;Lars C. Wolf

  • Artery: Extending Veins for VANET applications

    Raphael Riebl;Hendrik-Jorn Gunther;Christian Facchi;Lars Wolf

  • Long-term movie popularity models in video-on-demand systems: or the life of an on-demand movie

    Carsten Griwodz;Michael Bär;Lars C. Wolf

  • Issues ofReserving Resources in Advance

    Lars C. Wolf;Luca Delgrossi;Ralf Steinmetz;Sybille Schaller

  • Caroline: An autonomously driving vehicle for urban environments

    Fred W. Rauskolb;Kai Berger;Christian Lipski;Marcus Magnor

  • IBR-DTN: A lightweight, modular and highly portable Bundle Protocol implementation

    Sebastian Schildt;Johannes Morgenroth;Wolf-Bastian Pöttner;Lars C. Wolf

  • Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project

    Paul Furgale;Ulrich Schwesinger;Martin Rufli;Wojciech Derendarz

  • Concepts for Resource Reservation in Advance

    Lars C. Wolf;Ralf Steinmetz

  • Multi-Connectivity as an Enabler for Reliable Low Latency Communications—An Overview

    Marie-Theres Suer;Christoph Thein;Hugues Tchouankem;Lars Wolf

  • Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features

    Stephan Sigg;Shuyu Shi;Felix Buesching;Yusheng Ji

  • QoS-based routing of multimedia streams in computer networks

    R. Vogel;R.G. Herrtwich;W. Kalfa;H. Wittig

  • IBR-DTN: an efficient implementation for embedded systems

    Michael Doering;Sven Lahde;Johannes Morgenroth;Lars Wolf

  • Design and Evaluation of Charging Station Scheduling Strategies for Electric Vehicles

    Julian Timpner;Lars Wolf

  • Mobile Internet Acces in FleetNet.

    Marc Bechler;Walter J. Franz;Lars C. Wolf

  • Efficient discovery of Internet gateways in future vehicular communication systems

    M. Bechler;L. Wolf;O. Storz;W.J. Franz

  • The potential of collective perception in vehicular ad-hoc networks

    Hendrik-Jorn Gunther;Oliver Trauer;Lars Wolf

  • Multimedia communication

    L.C. Wolf;C. Griwodz;R. Steinmetz

  • HeiRAT—quality-of-service management for distributed multimedia systems

    Carsten Vogt;Lars C. Wolf;Ralf Guido Herrtwich;Hartmut Wittig

  • Long-term movie popularity models in video-on-demand systems

    Michael Bär;C. Griwodz;L. C. Wolf

  • Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features

    Stephan Sigg;Felix Buesching;Lars Wolf;Shuyu Shi

Frequent Co-Authors

Ralf Steinmetz
Ralf Steinmetz Technical University of Darmstadt
Utz Roedig
Utz Roedig University College Cork
Jens B. Schmitt
Jens B. Schmitt Technical University of Kaiserslautern
Kevin Fall
Kevin Fall Association for Computing Machinery
Carsten Griwodz
Carsten Griwodz University of Oslo
Jörg Ott
Jörg Ott Technical University of Munich
Rüdiger Kapitza
Rüdiger Kapitza Technische Universität Braunschweig
Cormac J. Sreenan
Cormac J. Sreenan University College Cork
thiemo voigt
thiemo voigt Uppsala University
Yusheng Ji
Yusheng Ji National Institute of Informatics

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