World's Best Scientists 2026 revealed!
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Computer Science
Greece
2026

D-Index & Metrics

Computer Science

D-Index
76
Citations
27555
World Ranking
1327
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Greece Leader Award
  • 2025 - Research.com Computer Science in Greece Leader Award
  • 2023 - Research.com Computer Science in Greece Leader Award
  • 2022 - Research.com Computer Science in Greece Leader Award

Overview

Dimitrios Gunopulos is affiliated with the National and Kapodistrian University of Athens in Greece. Their research spans several fields, primarily within computer science and physics, focusing on both theoretical and applied aspects of particle physics and artificial intelligence.

Their recent publications demonstrate a broad engagement with topics related to particle physics, data science, and AI applications. The works include:

  • Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals, 2021, Healthcare
  • Particle Cloud Generation with Message Passing Generative Adversarial Networks, 2021, arXiv (Cornell University)
  • Particle-based fast jet simulation at the LHC with variational autoencoders, 2022, Machine Learning Science and Technology
  • Mobility Data Science: Perspectives and Challenges, 2024, ACM Transactions on Spatial Algorithms and Systems
  • JetNet, 2022, Zenodo (CERN European Organization for Nuclear Research)

The focus of Dimitrios Gunopulos' research includes significant exploration of particle physics theoretical and experimental studies, high-energy particle collisions, and computational physics with practical applications using Python.

Additional research emphases extend to human mobility and location-based analytics, generative adversarial networks, time series analysis and forecasting, and topic modeling. This diversity of topics highlights the scientist's interdisciplinary approach, combining physics with advanced computational techniques.

Dimitrios Gunopulos has frequently published in venues that are central to physics and computer science communities, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Machine Learning Science and Technology
  • Healthcare
  • ACM Transactions on Spatial Algorithms and Systems

Frequent collaborators have included:

  • R. Kansal
  • J. Duarte
  • Breno Orzari
  • T. R. Fernandez Perez Tomei
  • M. Pierini

The scientist's research areas can be classified within broad fields such as computer science and physics and astronomy. More specifically, their work contributes to subfields such as nuclear and high energy physics, artificial intelligence, management science and operations research, information systems, and transportation.

Best Publications

  • Automatic subspace clustering of high dimensional data for data mining applications

    Rakesh Agrawal;Johannes Gehrke;Dimitrios Gunopulos;Prabhakar Raghavan

  • Discovering similar multidimensional trajectories

    M. Vlachos;G. Kollios;D. Gunopulos

  • Constraint-Based Rule Mining in Large, Dense Databases

    Roberto J. Bayardo;Rakesh Agrawal;Dimitrios Gunopulos

  • Mining Process Models from Workflow Logs

    Rakesh Agrawal;Dimitrios Gunopulos;Frank Leymann

  • A local search mechanism for peer-to-peer networks

    Vana Kalogeraki;Dimitrios Gunopulos;D. Zeinalipour-Yazti

  • Online outlier detection in sensor data using non-parametric models

    S. Subramaniam;T. Palpanas;D. Papadopoulos;V. Kalogeraki

  • Indexing multi-dimensional time-series with support for multiple distance measures

    Michail Vlachos;Marios Hadjieleftheriou;Dimitrios Gunopulos;Eamonn Keogh

  • On indexing mobile objects

    George Kollios;Dimitrios Gunopulos;Vassilis J. Tsotras

  • Automatic Subspace Clustering of High Dimensional Data

    Rakesh Agrawal;Johannes Gehrke;Dimitrios Gunopulos;Prabhakar Raghavan

  • Finding Similar Time Series

    Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • Locally adaptive metric nearest-neighbor classification

    C. Domeniconi;Jing Peng;D. Gunopulos

  • Identifying similarities, periodicities and bursts for online search queries

    Michail Vlachos;Christopher Meek;Zografoula Vagena;Dimitrios Gunopulos

  • Locally adaptive metrics for clustering high dimensional data

    Carlotta Domeniconi;Dimitrios Gunopulos;Sheng Ma;Bojun Yan

  • Data mining, hypergraph transversals, and machine learning

    Dimitrios Gunopulos;Roni Khardon;Heikki Mannila;Hannu Toivonen

  • Indexing large human-motion databases

    Eamonn Keogh;Themistoklis Palpanas;Victor B. Zordan;Dimitrios Gunopulos

  • Efficient biased sampling for approximate clustering and outlier detection in large data sets

    G. Kollios;D. Gunopulos;N. Koudas;S. Berchtold

  • Prospective customer selection using customer and market reference data

    Paul B. Chou;Edna Grossman;Dimitrios Gunopulos;Pasumarti V. Kamesam

  • Discovering all most specific sentences

    Dimitrios Gunopulos;Roni Khardon;Heikki Mannila;Sanjeev Saluja

  • Finding effectors in social networks

    Theodoros Lappas;Evimaria Terzi;Dimitrios Gunopulos;Heikki Mannila

  • Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

    Tina Eliassi-Rad;Lyle Ungar;Mark Craven;Dimitrios Gunopulos

  • Microhash: an efficient index structure for fash-based sensor devices

    Demetrios Zeinalipour-Yazti;Song Lin;Vana Kalogeraki;Dimitrios Gunopulos

Frequent Co-Authors

Vana Kalogeraki
Vana Kalogeraki Athens University of Economics and Business
George Kollios
George Kollios Boston University
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside
Michail Vlachos
Michail Vlachos University of Lausanne
Gautam Das
Gautam Das The University of Texas at Arlington
Carlotta Domeniconi
Carlotta Domeniconi George Mason University
Nick Koudas
Nick Koudas University of Toronto
Eamonn Keogh
Eamonn Keogh University of California, Riverside
Heikki Mannila
Heikki Mannila Aalto University
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington

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