World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4515
World Ranking
12700
National Ranking
106

Magdalene Marinaki 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 Magdalene Marinaki 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: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Magdalene Marinaki 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 Magdalene Marinaki 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Magdalene Marinaki is affiliated with the Technical University of Crete in Greece. Their research spans the fields of engineering, with a significant focus on industrial and manufacturing engineering, as well as computer science. Subfields of study include automotive engineering, aerospace engineering, computer vision and pattern recognition, and artificial intelligence.

The main research topics covered by Magdalene Marinaki encompass vehicle routing optimization methods, transportation and mobility innovations, and UAV applications and optimization. Additional areas include optimization and packing problems, advanced manufacturing and logistics optimization, robotic path planning algorithms, and metaheuristic optimization algorithms research.

Recent publications demonstrate an engagement with optimization in transportation and logistics, often involving unmanned aerial vehicles and hybrid algorithms. Notable recent papers include:

  • The electric vehicle routing problem with drones: An energy minimization approach for aerial deliveries, 2022, Cleaner Logistics and Supply Chain
  • A cumulative unmanned aerial vehicle routing problem approach for humanitarian coverage path planning, 2021, European Journal of Operational Research
  • A firefly algorithm for the environmental prize-collecting vehicle routing problem, 2020, Swarm and Evolutionary Computation
  • A hybrid Tabu search - Variable neighborhood descent algorithm for the cumulative capacitated vehicle routing problem with time windows in humanitarian applications, 2021, Computers & Industrial Engineering
  • A hybrid ant colony optimization-variable neighborhood descent approach for the cumulative capacitated vehicle routing problem, 2021, Computers & Operations Research

Magdalene Marinaki has frequently published in venues such as SSRN Electronic Journal, Swarm and Evolutionary Computation, Zenodo (CERN European Organization for Nuclear Research), Cleaner Logistics and Supply Chain, and Computers & Industrial Engineering.

Collaboration is a key aspect of their research output, with frequent co-authors including Yannis Marinakis, Nikolaos A. Kyriakakis, Themistoklis Stamadianos, Nikolaos Matsatsinis, and Dimitra Trachanatzi. These collaborations reflect sustained work primarily in optimization, operational research, and applications involving aerial and ground vehicle routing.

Best Publications

  • A hybrid genetic - Particle Swarm Optimization Algorithm for the vehicle routing problem

    Yannis Marinakis;Magdalene Marinaki

  • A Hybrid Multi-Swarm Particle Swarm Optimization algorithm for the Probabilistic Traveling Salesman Problem

    Yannis Marinakis;Magdalene Marinaki

  • Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands

    Yannis Marinakis;Georgia-Roumbini Iordanidou;Magdalene Marinaki

  • A hybrid particle swarm optimization algorithm for the vehicle routing problem

    Yannis Marinakis;Magdalene Marinaki;Georgios Dounias

  • An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method

    Michael Doumpos;Yannis Marinakis;Magdalene Marinaki;Constantin Zopounidis

  • Honey bees mating optimization algorithm for the Euclidean traveling salesman problem

    Yannis Marinakis;Magdalene Marinaki;Georgios Dounias

  • A multi-adaptive particle swarm optimization for the vehicle routing problem with time windows

    Yannis Marinakis;Magdalene Marinaki;Athanasios Migdalas

  • Ant colony and particle swarm optimization for financial classification problems

    Yannis Marinakis;Magdalene Marinaki;Michael Doumpos;Constantin Zopounidis

  • Optimal Real-time Control of Sewer Networks

    Magdalene Marinaki;Μαγδαληνή Μαρινάκη

  • A Glowworm Swarm Optimization algorithm for the Vehicle Routing Problem with Stochastic Demands

    Magdalene Marinaki;Yannis Marinakis

  • A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem

    Yannis Marinakis;Magdalene Marinaki

  • A Bilevel Genetic Algorithm for a real life location routing problem

    Yannis Marinakis;Magdalene Marinaki

  • Fuzzy control optimized by PSO for vibration suppression of beams

    Magdalene Marinaki;Yannis Marinakis;Georgios E. Stavroulakis

  • A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering

    Yannis Marinakis;Magdalene Marinaki;Nikolaos Matsatsinis

  • The Electric Vehicle Routing Problem with Drones: An Energy Minimization Approach for Aerial Deliveries

    Unknown

  • Particle swarm optimization for pap-smear diagnosis

    Yannis Marinakis;Magdalene Marinaki;Georgios Dounias

  • Honey Bees Mating Optimization algorithm for financial classification problems

    Magdalene Marinaki;Yannis Marinakis;Constantin Zopounidis

  • Vibration control of beams with piezoelectric sensors and actuators using particle swarm optimization

    Magdalene Marinaki;Yannis Marinakis;Georgios E. Stavroulakis

  • Fuzzy control optimized by a Multi-Objective Particle Swarm Optimization algorithm for vibration suppression of smart structures

    Magdalene Marinaki;Yannis Marinakis;Georgios E. Stavroulakis

  • Particle swarm optimization with expanding neighborhood topology for the permutation flowshop scheduling problem

    Yannis Marinakis;Magdalene Marinaki

  • Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem

    Yannis Marinakis;Magdalene Marinaki

Frequent Co-Authors

Yannis Marinakis
Yannis Marinakis Technical University of Crete
Constantin Zopounidis
Constantin Zopounidis Technical University of Crete
Markos Papageorgiou
Markos Papageorgiou Technical University of Crete
Michael Doumpos
Michael Doumpos Technical University of Crete
Peter Steen Mikkelsen
Peter Steen Mikkelsen Technical University of Denmark
David Butler
David Butler University of Exeter
Juan A. Baeza
Juan A. Baeza Autonomous University of Barcelona
Ulf Jeppsson
Ulf Jeppsson Lund University
Andrea G. Capodaglio
Andrea G. Capodaglio University of Pavia

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Related Online Degrees & Career Pathways

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