World's Best Scientists 2026 revealed!
Michael M. Zavlanos

Michael M. Zavlanos

D-Index & Metrics

Computer Science

D-Index
41
Citations
6906
World Ranking
8859
National Ranking
3777

Michael M. Zavlanos 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 Michael M. Zavlanos 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Michael M. Zavlanos 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 Michael M. Zavlanos 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Michael M. Zavlanos is affiliated with Duke University in the United States and has contributed extensively to research in computer science and engineering. Their work spans several subfields, with a strong focus on artificial intelligence, management science and operations research, computer networks and communications, computational theory and mathematics, and control and systems engineering.

Their research topics cover a variety of areas including advanced bandit algorithms research, reinforcement learning in robotics, formal methods in verification, distributed control of multi-agent systems, machine learning and algorithms, stochastic gradient optimization techniques, and robotic path planning algorithms.

Michael M. Zavlanos has authored numerous papers, some of the most recent include:

  • STyLuS*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems, 2020, The International Journal of Robotics Research
  • An Abstraction-Free Method for Multirobot Temporal Logic Optimal Control Synthesis, 2021, IEEE Transactions on Robotics
  • Temporal Logic Task Allocation in Heterogeneous Multirobot Systems, 2022, IEEE Transactions on Robotics
  • A new one-point residual-feedback oracle for black-box learning and control, 2021, Automatica
  • Distributed Constrained Online Learning, 2020, IEEE Transactions on Signal Processing

Their publications frequently appear in key scientific venues including arXiv (Cornell University), IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Robotics, and IEEE Robotics and Automation Letters.

Michael M. Zavlanos collaborates regularly with several researchers. Frequent co-authors include Karl Henrik Johansson, Xusheng Luo, Zifan Wang, Miroslav Pajić, and Scott Nivison.

Best Publications

  • Distributed Connectivity Control of Mobile Networks

    M.M. Zavlanos;G.J. Pappas

  • Graph-theoretic connectivity control of mobile robot networks

    M. M. Zavlanos;M. B. Egerstedt;G. J. Pappas

  • Potential Fields for Maintaining Connectivity of Mobile Networks

    M.M. Zavlanos;G.J. Pappas

  • A feedback stabilization and collision avoidance scheme for multiple independent non-point agents

    Dimos V. Dimarogonas;Savvas G. Loizou;Kostas J. Kyriakopoulos;Michael M. Zavlanos

  • Distributed multi-robot task assignment and formation control

    N. Michael;M.M. Zavlanos;V. Kumar;G.J. Pappas

  • A distributed auction algorithm for the assignment problem

    M.M. Zavlanos;L. Spesivtsev;G.J. Pappas

  • Hybrid Control for Connectivity Preserving Flocking

    M.M. Zavlanos;H.G. Tanner;A. Jadbabaie;G.J. Pappas

  • Flocking while preserving network connectivity

    M.M. Zavlanos;A. Jadbabaie;G.J. Pappas

  • Controlling Connectivity of Dynamic Graphs

    M.M. Zavlanos;G.J. Pappas

  • An augmented Lagrangian method for distributed optimization

    Nikolaos Chatzipanagiotis;Darinka Dentcheva;Michael M. Zavlanos

  • Dynamic Assignment in Distributed Motion Planning With Local Coordination

    M.M. Zavlanos;G.J. Pappas

  • Maintaining Connectivity in Mobile Robot Networks

    Nathan Michael;Michael M. Zavlanos;Vijay Kumar;George J. Pappas

  • STyLuS*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems:

    Yiannis Kantaros;Michael M Zavlanos

  • Distributed communication-aware coverage control by mobile sensor networks

    Yiannis Kantaros;Michael M. Zavlanos

  • Distributed Intermittent Connectivity Control of Mobile Robot Networks

    Yiannis Kantaros;Michael M. Zavlanos

  • Network Integrity in Mobile Robotic Networks

    M. M. Zavlanos;A. Ribeiro;G. J. Pappas

  • Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning

    Alper Kamil Bozkurt;Yu Wang;Michael M. Zavlanos;Miroslav Pajic

  • Genetic network identification using convex programming

    A Julius;Michael Zavlanos;S Boyd;George J Pappas

  • Decentralized motion control of multiple holonomic agents under input constraints

    D.V. Dimarogonas;M.M. Zavlanos;S.G. Loizou;K.J. Kyriakopoulos

  • Distributed control of robotic networks

    George J. Pappas;Michael Myron Zavlanos

  • Graph-Theoretic Connectivity Control of Mobile Robot Networks This paper develops an analysis for groups of vehicles connected by a communication network; control laws are formulated to accomplish tasks requiring rendezvous, and swarm in group formations.

    Michael M. Zavlanos;Magnus B. Egerstedt;George J. Pappas

  • Genetic network identification using convex

    M. Zavlanos;S. Boyd

Frequent Co-Authors

George J. Pappas
George J. Pappas University of Pennsylvania
Miroslav Pajic
Miroslav Pajic Duke University
Alejandro Ribeiro
Alejandro Ribeiro University of Pennsylvania
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Stephen Boyd
Stephen Boyd Stanford University
Kostas J. Kyriakopoulos
Kostas J. Kyriakopoulos National Technical University of Athens
Dimos V. Dimarogonas
Dimos V. Dimarogonas Royal Institute of Technology
Vahid Tarokh
Vahid Tarokh Duke University
Carlos Sagues
Carlos Sagues University of Zaragoza

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