World's Best Scientists 2026 revealed!
Leandros Tassiulas

Leandros Tassiulas

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
83
Citations
36035
World Ranking
420
National Ranking
198

Computer Science

D-Index
84
Citations
37006
World Ranking
828
National Ranking
450

Leandros Tassiulas 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 Leandros Tassiulas 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: 540 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Leandros Tassiulas 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 Leandros Tassiulas 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: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to network control and optimization with applications in communication networks
  • 2016 - IEEE Koji Kobayashi Computers and Communications Award “For contributions to the scheduling and stability analysis of networks.”

Overview

Leandros Tassiulas is affiliated with Yale University in the United States. Their research primarily focuses on computer science, with significant contributions in subfields such as computer networks and communications, artificial intelligence, electrical and electronic engineering, information systems, and computer vision and pattern recognition.

The scientist has explored a variety of topics throughout their career. These include software-defined networks and 5G, blockchain technology applications and security, privacy-preserving technologies in data, quantum computing algorithms and architecture, IoT and edge/fog computing, advanced MIMO systems optimization, and age of information optimization.

The publication record includes several recent papers with notable impact. These are:

  • Model Pruning Enables Efficient Federated Learning on Edge Devices (2022, IEEE Transactions on Neural Networks and Learning Systems)
  • Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling (2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications)
  • Service Placement and Request Routing in MEC Networks With Storage, Computation, and Communication Constraints (2020, IEEE/ACM Transactions on Networking)
  • Cost-Effective Federated Learning in Mobile Edge Networks (2021, IEEE Journal on Selected Areas in Communications)
  • KerGNNs: Interpretable Graph Neural Networks with Graph Kernels (2022, Proceedings of the AAAI Conference on Artificial Intelligence)

Frequent coauthors in their work include:

  • Shiqiang Wang
  • Panagiotis Promponas
  • Víctor Valls
  • Aosong Feng
  • Konstantinos Poularakis

Tassiulas has published extensively in key venues such as:

  • arXiv (Cornell University)
  • ACM SIGMETRICS Performance Evaluation Review
  • IEEE/ACM Transactions on Networking
  • IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
  • IEEE Journal on Selected Areas in Communications

In addition to journal and conference articles, Tassiulas has authored a book titled Modeling and Optimization in Software-Defined Networks (2021), published by Morgan & Claypool Publishers.

Among the awards received are the ACM Fellow distinction in 2020, recognizing contributions to network control and optimization with applications in communication networks, and the IEEE Koji Kobayashi Computers and Communications Award in 2016, awarded for work on the scheduling and stability analysis of networks.

Best Publications

  • Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks

    L. Tassiulas;A. Ephremides

  • Energy conserving routing in wireless ad-hoc networks

    Jae-Hwan Chang;L. Tassiulas

  • Maximum lifetime routing in wireless sensor networks

    Jae-Hwan Chang;Leandros Tassiulas

  • Resource Allocation and Cross Layer Control in Wireless Networks

    Leonidas Georgiadis;Michael J. Neely;Leandros Tassiulas

  • Transmit beamforming and power control for cellular wireless systems

    F. Rashid-Farrokhi;K.J.R. Liu;L. Tassiulas

  • Dynamic server allocation to parallel queues with randomly varying connectivity

    L. Tassiulas;A. Ephremides

  • CDR-MAC: A Protocol for Full Exploitation of Directional Antennas in Ad Hoc Wireless Networks

    T. Korakis;G. Jakllari;L. Tassiulas

  • Joint optimal power control and beamforming in wireless networks using antenna arrays

    F. Rashid-Farrokhi;L. Tassiulas;K.J.R. Liu

  • A MAC protocol for full exploitation of directional antennas in ad-hoc wireless networks

    Thanasis Korakis;Gentian Jakllari;Leandros Tassiulas

  • Distributed topology construction of Bluetooth personal area networks

    T. Salonidis;P. Bhagwat;L. Tassiulas;R. LaMaire

  • Linear complexity algorithms for maximum throughput in radio networks and input queued switches

    L. Tassiulas

  • Resource Allocation and Cross Layer Control in Wireless Networks (Foundations and Trends in Networking, V. 1, No. 1)

    Leonidas Georgiadis;Mike Neely;Leandros Tassiulas

  • Maxmin fair scheduling in wireless networks

    L. Tassiulas;S. Sarkar

  • Broadcast scheduling for information distribution

    Chi-Jiun Su;Leandros Tassiulas;Vassilis J. Tsotras

  • Throughput capacity of random ad hoc networks with infrastructure support

    Ulaş C. Kozat;Leandros Tassiulas

  • Routing entanglement in the quantum internet

    Mihir Pant;Mihir Pant;Hari Krovi;Don Towsley;Leandros Tassiulas

  • Routing for network capacity maximization in energy-constrained ad-hoc networks

    K. Kar;Murali Kodialam;T.V. Lakshman;L. Tassiulas

  • Network layer support for service discovery in mobile ad hoc networks

    U.C. Kozat;L. Tassiulas

  • Control of wireless networks with rechargeable batteries [transactions papers]

    M. Gatzianas;L. Georgiadis;L. Tassiulas

  • Approximation Algorithms for Mobile Data Caching in Small Cell Networks

    Konstantinos Poularakis;George Iosifidis;Leandros Tassiulas

Frequent Co-Authors

Iordanis Koutsopoulos
Iordanis Koutsopoulos Athens University of Economics and Business
George Iosifidis
George Iosifidis Delft University of Technology
Leonidas Georgiadis
Leonidas Georgiadis Aristotle University of Thessaloniki
Saswati Sarkar
Saswati Sarkar University of Pennsylvania
Dimitrios Katsaros
Dimitrios Katsaros University Of Thessaly
Jianwei Huang
Jianwei Huang Chinese University of Hong Kong, Shenzhen
Theodoros Salonidis
Theodoros Salonidis IBM (United States)
Anthony Ephremides
Anthony Ephremides University of Maryland, College Park
Nicholas D. Sidiropoulos
Nicholas D. Sidiropoulos University of Virginia
Symeon Papavassiliou
Symeon Papavassiliou National Technical University of Athens

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