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Computer Science
Slovenia
2026

D-Index & Metrics

Computer Science

D-Index
69
Citations
22310
World Ranking
1955
National Ranking
1

Sašo Džeroski 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 Sašo Džeroski 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: 469 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Sašo Džeroski 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 Sašo Džeroski 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: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Slovenia Leader Award
  • 2025 - Research.com Computer Science in Slovenia Leader Award
  • 2023 - Research.com Computer Science in Slovenia Leader Award
  • 2022 - Research.com Computer Science in Slovenia Leader Award
  • 2016 - Member of Academia Europaea

Overview

Sašo Džeroski is affiliated with the Jožef Stefan Institute in Slovenia. Their research primarily falls within the field of Computer Science, with significant contributions in subfields such as Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Biomedical Engineering.

Džeroski's work covers a range of key topics, including:

  • Machine Learning and Data Classification
  • Text and Document Classification Technologies
  • Neural Networks and Applications
  • Metaheuristic Optimization Algorithms Research
  • Scientific Computing and Data Management
  • Biomedical Text Mining and Ontologies
  • Face and Expression Recognition

The scientist has coauthored frequently with several colleagues, including:

  • Dragi Kocev
  • Ana Kostovska
  • Ljupčo Todorovski
  • Tome Eftimov
  • Matej Petković

Džeroski has published numerous papers, with recent notable works including:

  • Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN, 2020, Remote Sensing
  • Artificial intelligence to advance Earth observation: A review of models, recent trends, and pathways forward, 2023, arXiv (Cornell University)
  • Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward, 2024, IEEE Geoscience and Remote Sensing Magazine
  • Distinct Types of Gut Microbiota Dysbiosis in Hospitalized Gastroenterological Patients Are Disease Non-related and Characterized With the Predominance of Either Enterobacteriaceae or Enterococcus, 2020, Frontiers in Microbiology
  • Cheminformatics in MS-based environmental exposomics: Current achievements and future directions, 2020, Trends in Environmental Analytical Chemistry

The most frequent venues where Džeroski publishes are:

  • arXiv (Cornell University)
  • Machine Learning
  • Zenodo (CERN European Organization for Nuclear Research)
  • Expert Systems with Applications
  • International Journal of Intelligent Systems

The scientist received the award of Member of Academia Europaea in 2016.

Best Publications

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Is Combining Classifiers with Stacking Better than Selecting the Best One

    Saso Džeroski;Bernard Ženko

  • Inductive Logic Programming: Techniques and Applications

    Nada Lavrac;Saso Dzeroski

  • Relational Data Mining

    Saso Dzeroski;Nada Lavrac

  • An extensive experimental comparison of methods for multi-label learning

    Unknown

  • Decision trees for hierarchical multi-label classification

    Celine Vens;Jan Struyf;Leander Schietgat;Sašo Džeroski

  • The MONK's problems: A Performance Comparison of Different Learning Algorithms

    Sebastian B. Thrun;Jerzy W. Bala;Eric Bloedorn;Ivan Bratko

  • Relational reinforcement learning

    Sašo Džeroski;Luc De Raedt;Kurt Driessens

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • Multi-relational data mining: an introduction

    Sašo Džeroski

  • Learning model trees from evolving data streams

    Elena Ikonomovska;João Gama;Sašo Džeroski

  • Tree ensembles for predicting structured outputs

    Unknown

  • Combining Classifiers with Meta Decision Trees

    Ljupčo Todorovski;Sašo Džeroski

  • Learning nonrecursive definitions of relations with LINUS

    Nada Lavrač;Sašo Džeroski;Marko Grobelnik

  • Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain☆

    Andrej Kobler;Norbert Pfeifer;Peter Ogrinc;Ljupčo Todorovski

  • Relational Reinforcement Learning

    Saso Dzeroski;Luc De Raedt;Hendrik Blockeel

  • Ensembles of Multi-Objective Decision Trees

    Dragi Kocev;Celine Vens;Jan Struyf;Sašo Džeroski

  • Predicting gene function using hierarchical multi-label decision tree ensembles

    Leander Schietgat;Celine Vens;Jan Struyf;Hendrik Blockeel

  • First-order jk -clausal theories are PAC-learnable

    Luc De Raedt;Sašo Džeroski

  • Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition

    Dragi Kocev;Sašo Džeroski;Matt D. White;Graeme R. Newell

  • Predicting Chemical Parameters of River Water Quality from Bioindicator Data

    Sašo Džeroski;Damjan Demšar;Jasna Grbović

  • Supporting discovery in medicine by association rule mining in Medline and UMLS.

    Dimitar Hristovski;Janez Stare;Borut Peterlin;Saso Dzeroski

  • Proceedings of the 22nd international conference on Machine learning

    Saso Dzeroski;Luc De Raedt;Stefan Wrobel

  • Proceedings of the Sixteenth International Conference on Machine Learning

    Ivan Bratko;Saso Dzeroski

Frequent Co-Authors

Michelangelo Ceci
Michelangelo Ceci University of Bari Aldo Moro
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Annalisa Appice
Annalisa Appice University of Bari Aldo Moro
Nina Gunde-Cimerman
Nina Gunde-Cimerman University of Ljubljana
Donato Malerba
Donato Malerba University of Bari Aldo Moro
Pat Langley
Pat Langley Stanford University
João Gama
João Gama University of Porto
Luc De Raedt
Luc De Raedt KU Leuven
Paul Henning Krogh
Paul Henning Krogh Aarhus University

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