World's Best Scientists 2026 revealed!
Alexandros Nanopoulos

Alexandros Nanopoulos

D-Index & Metrics

Computer Science

D-Index
45
Citations
8230
World Ranking
7204
National Ranking
349

Overview

Alexandros Nanopoulos is affiliated with the University of Hildesheim in Germany. Their research primarily spans the field of Computer Science, with a focus on several subfields including Signal Processing, Artificial Intelligence, Analytical Chemistry, Economics and Econometrics, and Computer Vision and Pattern Recognition.

The scientist's work prominently addresses topics such as Time Series Analysis and Forecasting, Anomaly Detection Techniques and Applications, Blind Source Separation Techniques, Spectroscopy and Chemometric Analyses, Complex Systems and Time Series Analysis, Adversarial Robustness in Machine Learning, and Digital Media Forensic Detection.

Nanopoulos has authored publications in notable venues, including:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Applied Intelligence
  • Neurocomputing

Their recent papers include:

  • Classification of Sparse Time Series via Supervised Matrix Factorization, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Conformal prediction for out-of-distribution time-series classification, 2025, Applied Intelligence
  • Unveiling distinguishing properties of adversarial examples through neural tangent kernels, 2025, Neurocomputing

Frequent collaborators in their research have been:

  • Josif Grabocka
  • Lars Schmidt-Thieme
  • Krisztián Búza
  • Miloš Radovanović

Nanopoulos's research contributions incorporate analytical and computational methods applied to time series data and adversarial robustness, reflecting interdisciplinary approaches that engage machine learning techniques alongside domain-specific applications.

Best Publications

  • Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data

    Miloš Radovanović;Alexandros Nanopoulos;Mirjana Ivanović

  • R-Trees: Theory and Applications

    Yannis Manolopoulos;Alexandros Nanopoulos;Apostolos N. Papadopoulos;Yannis Theodoridis

  • Learning optimal ranking with tensor factorization for tag recommendation

    Steffen Rendle;Leandro Balby Marinho;Alexandros Nanopoulos;Lars Schmidt-Thieme

  • Tag recommendations based on tensor dimensionality reduction

    Panagiotis Symeonidis;Alexandros Nanopoulos;Yannis Manolopoulos

  • Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection

    Milos Radovanovic;Alexandros Nanopoulos;Mirjana Ivanovic

  • A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis

    P. Symeonidis;A. Nanopoulos;Y. Manolopoulos

  • C2P: Clustering based on Closest Pairs

    Alexandros Nanopoulos;Yannis Theodoridis;Yannis Manolopoulos

  • A data mining algorithm for generalized Web prefetching

    A. Nanopoulos;D. Katsaros;Y. Manolopoulos

  • Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions

    Aleksandra Klasnja Milicevic;Alexandros Nanopoulos;Mirjana Ivanovic

  • The Role of Emotions for the Perceived Usefulness in Online Customer Reviews

    Armin Felbermayr;Alexandros Nanopoulos

  • Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

    Aleksandra Klašnja-Milićević;Mirjana Ivanović;Alexandros Nanopoulos

  • MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags

    A. Nanopoulos;D. Rafailidis;P. Symeonidis;Y. Manolopoulos

  • . EFFECTIVE PREDICTION OF WEB-USER ACCESSES: A DATA MINING APPROACH

    A Nanopoulos;D Katsaros;Y Manolopoulos

  • Collaborative recommender systems: Combining effectiveness and efficiency

    Panagiotis Symeonidis;Alexandros Nanopoulos;Apostolos N. Papadopoulos;Yannis Manolopoulos

  • MoviExplain: a recommender system with explanations

    Panagiotis Symeonidis;Alexandros Nanopoulos;Yannis Manolopoulos

  • Providing Justifications in Recommender Systems

    P. Symeonidis;A. Nanopoulos;Y. Manolopoulos

  • Factorization Techniques for Predicting Student Performance

    Nguyen Thai-Nghe;Lucas Drumond;Tomáš Horváth;Artus Krohn-Grimberghe

  • Nearest neighbors in high-dimensional data: the emergence and influence of hubs

    Miloš Radovanović;Alexandros Nanopoulos;Mirjana Ivanović

  • On the existence of obstinate results in vector space models

    Milos Radovanović;Alexandros Nanopoulos;Mirjana Ivanović

  • Searching for similar trajectories in spatial networks

    E. Tiakas;A. N. Papadopoulos;A. Nanopoulos;Y. Manolopoulos

Frequent Co-Authors

Yannis Manolopoulos
Yannis Manolopoulos University of York Europe Campus
Lars Schmidt-Thieme
Lars Schmidt-Thieme University of Hildesheim
Panagiotis Symeonidis
Panagiotis Symeonidis University of the Aegean
Yannis Theodoridis
Yannis Theodoridis University of Piraeus
Dimitrios Katsaros
Dimitrios Katsaros University Of Thessaly
Andreas Hotho
Andreas Hotho University of Würzburg
Gerd Stumme
Gerd Stumme University of Kassel
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Christian S. Jensen
Christian S. Jensen Aalborg University
Özgür Ulusoy
Özgür Ulusoy Bilkent University

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