World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5237
World Ranking
12592
National Ranking
103

Nikos Pelekis 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 Nikos Pelekis 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: 135 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.

Nikos Pelekis 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 Nikos Pelekis 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

Nikos Pelekis is affiliated with the University of Piraeus in Greece. Their research spans multiple disciplines, primarily within engineering and computer science, with a specific focus on ocean engineering, transportation, signal processing, building and construction, and environmental engineering.

Their scholarly contributions cover various topics, including:

  • Maritime Navigation and Safety
  • Traffic Prediction and Management Techniques
  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Maritime Transport Emissions and Efficiency
  • Maritime Ports and Logistics
  • Advanced Database Systems and Queries

Among their recent publications are:

  • "An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting," 2023, published in IEEE Transactions on Intelligent Transportation Systems
  • "Distributed Subtrajectory Join on Massive Datasets," 2020, published in ACM Transactions on Spatial Algorithms and Systems
  • "Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data," 2022, published in International Journal of Information Management Data Insights
  • "A Survey on Big Data Processing Frameworks for Mobility Analytics," 2021, published in ACM SIGMOD Record
  • "Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison," 2022, published in 2022 23rd IEEE International Conference on Mobile Data Management (MDM)

Nikos Pelekis has frequently collaborated with several researchers, most notably:

  • Yannis Theodoridis
  • Eva Chondrodima
  • Petros Mandalis
  • Harris Georgiou
  • Christos Doulkeridis

The venues where Nikos Pelekis has regularly published include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 23rd IEEE International Conference on Mobile Data Management (MDM)
  • IEEE Transactions on Intelligent Transportation Systems
  • ACM Transactions on Spatial Algorithms and Systems
  • International Journal of Information Management Data Insights

The scope of their work incorporates a combination of applied engineering challenges and data-driven methodologies, with an emphasis on maritime and transportation systems. Their approach often involves machine learning techniques, data analytics, and optimization algorithms targeted at improving vessel navigation, traffic prediction, public transport scheduling, and large-scale data processing for mobility analytics.

Best Publications

  • Semantic trajectories modeling and analysis

    Christine Parent;Stefano Spaccapietra;Chiara Renso;Gennady Andrienko

  • DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis.

    Christos Baziotis;Nikos Pelekis;Christos Doulkeridis

  • Literature review of spatio-temporal database models

    Nikos Pelekis;Babis Theodoulidis;Ioannis Kopanakis;Yannis Theodoridis

  • Similarity Search in Trajectory Databases

    N. Pelekis;I. Kopanakis;G. Marketos;I. Ntoutsi

  • Basic Concepts of Movement Data

    Natalia V. Andrienko;Gennady L. Andrienko;Nikos Pelekis;Stefano Spaccapietra

  • Algorithms for Nearest Neighbor Search on Moving Object Trajectories

    Elias Frentzos;Kostas Gratsias;Nikos Pelekis;Yannis Theodoridis

  • Clustering uncertain trajectories

    Nikos Pelekis;Ioannis Kopanakis;Evangelos E. Kotsifakos;Elias Frentzos

  • Online event recognition from moving vessel trajectories

    Kostas Patroumpas;Elias Alevizos;Alexander Artikis;Marios Vodas

  • Hermes – a framework for location-based data management

    Nikos Pelekis;Yannis Theodoridis;Spyros Vosinakis;Themis Panayiotopoulos

  • Mobility Data Management and Exploration

    Nikos Pelekis;Yannis Theodoridis

  • Building real-world trajectory warehouses

    Gerasimos Marketos;Elias Frentzos;Irene Ntoutsi;Nikos Pelekis

  • Segmentation and Sampling of Moving Object Trajectories Based on Representativeness

    C. Panagiotakis;N. Pelekis;I. Kopanakis;E. Ramasso

  • Clustering Trajectories of Moving Objects in an Uncertain World

    Nikos Pelekis;Ioannis Kopanakis;Evangelos Kotsifakos;Elias Frentzos

  • Nearest neighbor search on moving object trajectories

    Elias Frentzos;Kostas Gratsias;Nikos Pelekis;Yannis Theodoridis

  • A Pattern Similarity Scheme for Medical Image Retrieval

    D.K. Iakovidis;N. Pelekis;E.E. Kotsifakos;I. Kopanakis

  • HERMES: aggregative LBS via a trajectory DB engine

    Nikos Pelekis;Elias Frentzos;Nikos Giatrakos;Yannis Theodoridis

  • Privacy-Preserving Indoor Localization on Smartphones

    Andreas Konstantinidis;Georgios Chatzimilioudis;Demetrios Zeinalipour-Yazti;Paschalis Mpeis

  • Map-matched trajectory compression

    Georgios Kellaris;Nikos Pelekis;Yannis Theodoridis

  • The Baquara2 knowledge-based framework for semantic enrichment and analysis of movement data

    Renato Fileto;Cleto May;Chiara Renso;Nikos Pelekis

  • Visually exploring movement data via similarity-based analysis

    Nikos Pelekis;Gennady Andrienko;Natalia Andrienko;Ioannis Kopanakis

  • An evaluation of data stream clustering algorithms

    Stratos Mansalis;Eirini Ntoutsi;Nikos Pelekis;Yannis Theodoridis

Frequent Co-Authors

Yannis Theodoridis
Yannis Theodoridis University of Piraeus
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Dimitris K. Iakovidis
Dimitris K. Iakovidis University Of Thessaly
Alexander Artikis
Alexander Artikis University of Piraeus
Chiara Renso
Chiara Renso Institute of Information Science and Technologies
Stefano Spaccapietra
Stefano Spaccapietra École Polytechnique Fédérale de Lausanne
Fosca Giannotti
Fosca Giannotti Scuola Normale Superiore di Pisa
Salvatore Orlando
Salvatore Orlando Ca Foscari University of Venice
Robert Weibel
Robert Weibel University of Zurich

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