World's Best Scientists 2026 revealed!
Alexandros Karatzoglou

Alexandros Karatzoglou

D-Index & Metrics

Computer Science

D-Index
41
Citations
14089
World Ranking
8597
National Ranking
3684

Alexandros Karatzoglou 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 Karatzoglou 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: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Alexandros Karatzoglou 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 Karatzoglou 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Alexandros Karatzoglou is affiliated with Google in the United States and primarily conducts research in Computer Science. Their work spans multiple subfields including Artificial Intelligence, Information Systems, Management Science and Operations Research, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

The main topics Alexandros Karatzoglou focuses on include Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Reinforcement Learning in Robotics, Smart Grid Energy Management, Advanced Graph Neural Networks, Topic Modeling, and Domain Adaptation and Few-Shot Learning.

Recent publications by Alexandros Karatzoglou cover several contributions to recommender systems and reinforcement learning. Notable papers include:

  • "Supervised Advantage Actor-Critic for Recommender Systems" (2022), Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Rethinking Reinforcement Learning for Recommendation" (2022), Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Choosing the Best of Both Worlds" (2022), Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Self-Supervised Reinforcement Learning for Recommender Systems" (2020), arXiv (Cornell University)
  • "One Person, One Model, One World: Learning Continual User Representation without Forgetting" (2020), arXiv (Cornell University)

They have collaborated frequently with several coauthors, including Xin Xin, Ioannis Arapakis, Joemon M. Jose, Fajie Yuan, and Dušan Stamenković.

Alexandros Karatzoglou's works are published in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Access

Best Publications

  • kernlab - An S4 Package for Kernel Methods in R

    Alexandros Karatzoglou;Alexandros Smola;Kurt Hornik;Achim Zeileis

  • Session-based Recommendations with Recurrent Neural Networks

    Balázs Hidasi;Alexandros Karatzoglou;Linas Baltrunas;Domonkos Tikk

  • Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

    Massimo Quadrana;Alexandros Karatzoglou;Balázs Hidasi;Paolo Cremonesi

  • Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering

    Alexandros Karatzoglou;Xavier Amatriain;Linas Baltrunas;Nuria Oliver

  • Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

    Balázs Hidasi;Alexandros Karatzoglou

  • Support Vector Machines in R

    Alexandros Karatzoglou;David Meyer;Kurt Hornik

  • Recurrent neural networks

    Stephen Grossberg

  • Overcoming catastrophic forgetting with hard attention to the task

    Joan Serrà;Dídac Surís;Marius Miron;Alexandros Karatzoglou

  • A Simple Convolutional Generative Network for Next Item Recommendation

    Fajie Yuan;Alexandros Karatzoglou;Ioannis Arapakis;Joemon M. Jose

  • Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

    Balázs Hidasi;Massimo Quadrana;Alexandros Karatzoglou;Domonkos Tikk

  • CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • Collaborative Filtering Bandits

    Shuai Li;Alexandros Karatzoglou;Claudio Gentile

  • TFMAP: optimizing MAP for top-n context-aware recommendation

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • Self-Supervised Reinforcement Learning for Recommender Systems

    Xin Xin;Alexandros Karatzoglou;Ioannis Arapakis;Joemon M. Jose

  • Coverage, redundancy and size-awareness in genre diversity for recommender systems

    Saúl Vargas;Linas Baltrunas;Alexandros Karatzoglou;Pablo Castells

  • Improving maximum margin matrix factorization

    Markus Weimer;Alexandros Karatzoglou;Alex Smola

  • Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

    Fajie Yuan;Xiangnan He;Alexandros Karatzoglou;Liguang Zhang

  • Learning to rank for recommender systems

    Alexandros Karatzoglou;Linas Baltrunas;Yue Shi

  • Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

    Alexandros Karatzoglou;Balázs Hidasi;Domonkos Tikk;Oren Sar-Shalom

  • Climbing the app wall: enabling mobile app discovery through context-aware recommendations

    Alexandros Karatzoglou;Linas Baltrunas;Karen Church;Matthias Böhmer

  • RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

    David Rohde;Stephen Bonner;Travis Dunlop;Flavian Vasile

  • On Context-Dependent Clustering of Bandits

    Claudio Gentile;Shuai Li;Purushottam Kar;Alexandros Karatzoglou

Frequent Co-Authors

Martha Larson
Martha Larson Radboud University
Joan Serrà
Joan Serrà Telefónica (Spain)
Nuria Oliver
Nuria Oliver European Laboratory for Learning and Intelligent Systems
Alan Hanjalic
Alan Hanjalic Delft University of Technology
Domonkos Tikk
Domonkos Tikk Gravity Research & Development Zrt.
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Joemon M. Jose
Joemon M. Jose University of Glasgow
Claudio Gentile
Claudio Gentile Google (United States)
Kurt Hornik
Kurt Hornik Vienna University of Economics and Business
Paolo Cremonesi
Paolo Cremonesi Polytechnic University of Milan

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