World's Best Scientists 2026 revealed!
Panagiotis Symeonidis

Panagiotis Symeonidis

D-Index & Metrics

Computer Science

D-Index
33
Citations
3960
World Ranking
12778
National Ranking
107

Panagiotis Symeonidis 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 Panagiotis Symeonidis 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: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Panagiotis Symeonidis 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 Panagiotis Symeonidis 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

Panagiotis Symeonidis is affiliated with the University of the Aegean in Greece and specializes in Computer Science, with a significant focus on Artificial Intelligence and Information Systems. Their research portfolio encompasses several subfields including Computer Vision and Pattern Recognition, Computer Networks and Communications, and Molecular Biology.

The scientist's main research topics include Recommender Systems and Techniques, Advanced Graph Neural Networks, Topic Modeling, Caching and Content Delivery, Image and Video Quality Assessment, Advanced Bandit Algorithms Research, and Complex Network Analysis Techniques.

Panagiotis Symeonidis has published extensively in multiple scientific venues, participating in journals and conferences such as:

  • Expert Systems with Applications
  • User Modeling and User-Adapted Interaction
  • IEEE Access
  • Information Retrieval
  • Journal of Intelligent Information Systems

Key recent publications by Symeonidis include:

  • Session-based news recommendations using SimRank on multi-modal graphs, 2021, Expert Systems with Applications
  • Session-aware news recommendations using random walks on time-evolving heterogeneous information networks, 2020, User Modeling and User-Adapted Interaction
  • Safe, effective and explainable drug recommendation based on medical data integration, 2022, User Modeling and User-Adapted Interaction

Other notable related works connected to their research area are:

  • An overlapping clustering approach for precision, diversity and novelty-aware recommendations by Chems Eddine Berbague, 2021, Expert Systems with Applications
  • MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks by Makbule Gülçin Özsoy, 2020, IEEE Access

The scientist has collaborated frequently with several coauthors, including Markus Zanker, Yannis Manolopoulos, Lidija Kirjackaja, Hassina Seridi, and Dmitry Chaltsev.

Best Publications

  • Tag recommendations based on tensor dimensionality reduction

    Panagiotis Symeonidis;Alexandros Nanopoulos;Yannis Manolopoulos

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

    P. Symeonidis;A. Nanopoulos;Y. Manolopoulos

  • Fast and accurate link prediction in social networking systems

    Alexis Papadimitriou;Panagiotis Symeonidis;Yannis Manolopoulos

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

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

  • Transitive node similarity for link prediction in social networks with positive and negative links

    Panagiotis Symeonidis;Eleftherios Tiakas;Yannis Manolopoulos

  • Providing Justifications in Recommender Systems

    P. Symeonidis;A. Nanopoulos;Y. Manolopoulos

  • A generalized taxonomy of explanations styles for traditional and social recommender systems

    Alexis Papadimitriou;Panagiotis Symeonidis;Yannis Manolopoulos

  • Product recommendation and rating prediction based on multi-modal social networks

    Panagiotis Symeonidis;Eleftherios Tiakas;Yannis Manolopoulos

  • TERNARY SEMANTIC ANALYSIS OF SOCIAL TAGS FOR PERSONALIZED MUSIC RECOMMENDATION

    Panagiotis Symeonidis;Maria Magdalena Ruxanda;Alexandros Nanopoulos;Yannis Manolopoulos

  • Social Tagging Recommender Systems

    Leandro Balby Marinho;Alexandros Nanopoulos;Lars Schmidt-Thieme;Robert Jäschke

  • Nearest-biclusters collaborative filtering based on constant and coherent values

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

  • From biological to social networks: Link prediction based on multi-way spectral clustering

    Panagiotis Symeonidis;Nantia Iakovidou;Nikolaos Mantas;Yannis Manolopoulos

  • Feature-Weighted User Model for Recommender Systems

    Panagiotis Symeonidis;Alexandros Nanopoulos;Yannis Manolopoulos

  • Transitive node similarity: predicting and recommending links in signed social networks

    Panagiotis Symeonidis;Eleftherios Tiakas

  • ClustHOSVD: Item Recommendation by Combining Semantically Enhanced Tag Clustering With Tensor HOSVD

    Panagiotis Symeonidis

  • Location-Based Social Networks

    Panagiotis Symeonidis;Dimitrios Ntempos;Yannis Manolopoulos

  • Geo-social recommendations based on incremental tensor reduction and local path traversal

    Panagiotis Symeonidis;Alexis Papadimitriou;Yannis Manolopoulos;Pinar Senkul

  • Recommender Systems for Social Tagging Systems

    Leandro Balby Marinho;Andreas Hotho;Robert Jschke;Alexandros Nanopoulos

Frequent Co-Authors

Yannis Manolopoulos
Yannis Manolopoulos University of York Europe Campus
Alexandros Nanopoulos
Alexandros Nanopoulos University of Hildesheim
Markus Zanker
Markus Zanker Free University of Bozen-Bolzano
Gerd Stumme
Gerd Stumme University of Kassel
Andreas Hotho
Andreas Hotho University of Würzburg
Lars Schmidt-Thieme
Lars Schmidt-Thieme University of Hildesheim
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Dimitrios Melas
Dimitrios Melas Aristotle University of Thessaloniki
Li Chen
Li Chen Hong Kong Baptist University
George P. Chrousos
George P. Chrousos National and Kapodistrian University of Athens

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