World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8841
World Ranking
5928
National Ranking
277

Marco Caccamo 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 Marco Caccamo 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: 210 publications — 50th percentile

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

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

Marco Caccamo 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 Marco Caccamo 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to the theory and applications of hard real-time multicore computing

Overview

Marco Caccamo is affiliated with the Technical University of Munich in Germany. Their research spans multiple fields within computer science and engineering, with a particular focus on areas related to real-time systems and aerospace technology.

The scientist has contributed extensively to research in the following fields of study:

  • Computer Science
  • Engineering

Caccamo's work further delves into specific subfields including:

  • Hardware and Architecture
  • Control and Systems Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Networks and Communications

Research topics covered in their publications include:

  • Real-Time Systems Scheduling
  • Formal Methods in Verification
  • Parallel Computing and Optimization Techniques
  • Aerospace and Aviation Technology
  • Advanced Aircraft Design and Technologies
  • Reinforcement Learning in Robotics
  • Adversarial Robustness in Machine Learning

Significant publication venues where Caccamo's research appears include:

  • arXiv (Cornell University)
  • Real-Time Systems
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • AIAA AVIATION 2020 FORUM
  • AIAA Propulsion and Energy 2020 Forum

Frequent co-authors collaborating with Marco Caccamo are:

  • Mirco Theile
  • Majid Zamani
  • Or D. Dantsker
  • Bingzhuo Zhong
  • Hongpeng Cao

Selected recent papers authored or co-authored by Caccamo include:

  • "Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning," 2021, IEEE Open Journal of the Communications Society
  • "UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning," 2021, 2021 20th International Conference on Advanced Robotics (ICAR)
  • "Performance Testing of Aero-Naut CAM Folding Propellers," 2020, AIAA AVIATION 2020 FORUM
  • "Performance Testing of APC Electric Fixed-Blade UAV Propellers," 2022, AIAA AVIATION 2022 Forum
  • "6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping," 2023, Frontiers in Robotics and AI

Marco Caccamo has been recognized as an IEEE Fellow, an honor awarded in 2018 for contributions to the theory and applications of hard real-time multicore computing.

Best Publications

  • Real Time Scheduling Theory: A Historical Perspective

    Lui Sha;Tarek Abdelzaher;Karl-Erik Årzén;Anton Cervin

  • Elastic scheduling for flexible workload management

    G.C. Buttazzo;G. Lipari;M. Caccamo;L. Abeni

  • An implicit prioritized access protocol for wireless sensor networks

    M. Caccamo;L.Y. Zhang;Lui Sha;G. Buttazzo

  • MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms

    Heechul Yun;Gang Yao;R. Pellizzoni;M. Caccamo

  • A Predictable Execution Model for COTS-Based Embedded Systems

    Rodolfo Pellizzoni;Emiliano Betti;Stanley Bak;Gang Yao

  • Real-time cache management framework for multi-core architectures

    R. Mancuso;R. Dudko;E. Betti;M. Cesati

  • Worst case delay analysis for memory interference in multicore systems

    Rodolfo Pellizzoni;Andreas Schranzhofer;Jian-Jia Chen;Marco Caccamo

  • Memory Access Control in Multiprocessor for Real-Time Systems with Mixed Criticality

    Heechul Yun;Gang Yao;Rodolfo Pellizzoni;Marco Caccamo

  • Capacity sharing for overrun control

    M. Caccamo;G. Buttazzo;Lui Sha

  • Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning

    Harald Bayerlein;Mirco Theile;Marco Caccamo;David Gesbert

  • UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning

    Mirco Theile;Harald Bayerlein;Richard Nai;David Gesbert

  • Impact of Cache Partitioning on Multi-tasking Real Time Embedded Systems

    B.D. Bui;M. Caccamo;Lui Sha;J. Martinez

  • The System-Level Simplex Architecture for Improved Real-Time Embedded System Safety

    Stanley Bak;Deepti K. Chivukula;Olugbemiga Adekunle;Mu Sun

  • I-Living: An Open System Architecture for Assisted Living

    Qixin Wang;Wook Shin;Xue Liu;Zheng Zeng

  • Memory-centric scheduling for multicore hard real-time systems

    Gang Yao;Rodolfo Pellizzoni;Stanley Bak;Emiliano Betti

  • Hardware Runtime Monitoring for Dependable COTS-Based Real-Time Embedded Systems

    R. Pellizzoni;P. Meredith;M. Caccamo;G. Rosu

  • S3A: secure system simplex architecture for enhanced security and robustness of cyber-physical systems

    Sibin Mohan;Stanley Bak;Emiliano Betti;Heechul Yun

  • Elastic feedback control

    M. Caccamo;G. Buttazzo;Lui Sha

  • Efficient reclaiming in reservation-based real-time systems with variable execution times

    M. Caccamo;G.C. Buttazzo;D.C. Thomas

  • Coscheduling of CPU and I/O Transactions in COTS-Based Embedded Systems

    R. Pellizzoni;B.D. Bui;M. Caccamo;Lui Sha

  • Real-Time Reachability for Verified Simplex Design

    Stanley Bak;Taylor T. Johnson;Marco Caccamo;Lui Sha

Frequent Co-Authors

Lui Sha
Lui Sha University of Illinois at Urbana-Champaign
Rodolfo Pellizzoni
Rodolfo Pellizzoni University of Waterloo
Giorgio Buttazzo
Giorgio Buttazzo Sant'Anna School of Advanced Studies
Xue Liu
Xue Liu McGill University
Lothar Thiele
Lothar Thiele ETH Zurich
Marko Bertogna
Marko Bertogna University of Modena and Reggio Emilia
Giuseppe Lipari
Giuseppe Lipari University of Lille
Michael S. Selig
Michael S. Selig University of Illinois at Urbana-Champaign
Jennifer C. Hou
Jennifer C. Hou University of Illinois at Urbana-Champaign

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