World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13738
World Ranking
4041
National Ranking
25

Johannes Fürnkranz 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 Johannes Fürnkranz 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 387 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Johannes Fürnkranz 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 Johannes Fürnkranz sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Johannes Fürnkranz is affiliated with Johannes Kepler University of Linz in Austria. Their research primarily focuses on computer science, with a strong emphasis on artificial intelligence.

The scholar has a significant number of publications in the field of artificial intelligence, including work related to machine learning and data classification. Their expertise extends to areas such as text and document classification technologies, imbalanced data classification techniques, artificial intelligence in games, explainable artificial intelligence (XAI), Bayesian modeling and causal inference, and machine learning and algorithms.

Frequent publication venues for Johannes Fürnkranz include:

  • arXiv (Cornell University)
  • Machine Learning
  • Lecture Notes in Computer Science
  • 2021 IEEE Conference on Games (CoG)
  • Frontiers in Artificial Intelligence

Notable recent papers authored or co-authored by Fürnkranz are:

  • "A review of possible effects of cognitive biases on interpretation of rule-based machine learning models," 2021, Artificial Intelligence
  • "Comparing Boosting and Bagging for Decision Trees of Rankings," 2021, Journal of Classification
  • "Explainable and interpretable machine learning and data mining," 2024, Data Mining and Knowledge Discovery
  • "Frontiers in Artificial Intelligence / An empirical investigation into deep and shallow rule learning," 2021, University Library Linz repository (Johannes Kepler Universität Linz)
  • "Efficient learning of large sets of locally optimal classification rules," 2023, Machine Learning

Johannes Fürnkranz has worked with several frequent co-authors, including:

  • Eneldo Loza Mencía
  • Eyke Hüllermeier
  • Timo Bertram
  • Florian Beck
  • Moritz Kulessa

Best Publications

  • Multilabel classification via calibrated label ranking

    Johannes Fürnkranz;Eyke Hüllermeier;Eneldo Loza Mencía;Klaus Brinker

  • Preference Learning and Ranking by Pairwise Comparison

    Johannes Fürnkranz;Eyke Hüllermeier

  • Separate-and-Conquer Rule Learning

    Johannes Fürnkranz

  • Label ranking by learning pairwise preferences

    Eyke Hüllermeier;Johannes Fürnkranz;Weiwei Cheng;Klaus Brinker

  • Round robin classification

    Johannes Fürnkranz

  • Incremental reduced error pruning

    Johannes Fürnkranz;Gerhard Widmer

  • Large-scale multi-label text classification — revisiting neural networks

    Jinseok Nam;Jungi Kim;Eneldo Loza Mencía;Iryna Gurevych

  • A Study Using $n$-gram Features for Text Categorization

    Johannes Fürnkranz

  • ROC 'n' rule learning: towards a better understanding of covering algorithms

    Johannes Fürnkranz;Peter A. Flach

  • Deep Belief Networks

    Unknown

  • Preference Learning

    Unknown

  • Pairwise preference learning and ranking

    Johannes Fürnkranz;Eyke Hüllermeier

  • Knowledge Discovery in Databases: PKDD 2006

    Johannes Fürnkranz;Tobias Scheffer;Myra Spiliopoulou

  • Unsupervised generation of data mining features from linked open data

    Heiko Paulheim;Johannes Fümkranz

  • Efficient pairwise multilabel classification for large-scale problems in the legal domain

    Eneldo Loza Mencía;Johannes Fürnkranz

  • Exploiting Structural Information for Text Classification on the WWW

    Johannes Fürnkranz

  • An Evaluation of Grading Classifiers

    Alexander K. Seewald;Johannes Fürnkranz

  • Pruning Algorithms for Rule Learning

    Johannes Fürnkranz

  • A Unified Model for Multilabel Classification and Ranking

    Klaus Brinker;Johannes Fürnkranz;Eyke Hüllermeier

  • Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification

    Jinseok Nam;Eneldo Loza Mencía;Hyunwoo J. Kim;Johannes Fürnkranz

  • An analysis of rule evaluation metrics

    Johannes Fürnkranz;Peter A. Flach

  • A survey of preference-based reinforcement learning methods

    Christian Wirth;Riad Akrour;Gerhard Neumann;Johannes Fürnkranz

Frequent Co-Authors

Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Tobias Scheffer
Tobias Scheffer University of Potsdam
Bernhard Pfahringer
Bernhard Pfahringer University of Waikato
Peter A. Flach
Peter A. Flach University of Bristol
Heiko Paulheim
Heiko Paulheim University of Mannheim
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Francesco C. Billari
Francesco C. Billari Bocconi University
Thore Graepel
Thore Graepel University College London

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