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
350

Alexandros Nanopoulos 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 Alexandros Nanopoulos 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Alexandros Nanopoulos 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 Alexandros Nanopoulos 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

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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