World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5237
World Ranking
12594
National Ranking
102

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
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
Vassilios S. Verykios
Vassilios S. Verykios Hellenic Open University
Robert Weibel
Robert Weibel University of Zurich

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