World's Best Scientists 2026 revealed!
Andreas Rauber

Andreas Rauber

D-Index & Metrics

Computer Science

D-Index
47
Citations
9000
World Ranking
6488
National Ranking
50

Andreas Rauber 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 Andreas Rauber 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: 392 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.

Andreas Rauber 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 Andreas Rauber 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Andreas Rauber is affiliated with TU Wien in Austria and has contributed extensively to the field of Computer Science, with a total of 103 publications focused on various subfields.

The main subfields in which they have published include:

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Management Science and Operations Research

Their research covers a broad range of topics, with a concentration in:

  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Privacy-Preserving Technologies in Data
  • Network Security and Intrusion Detection
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Software System Performance and Reliability

Frequent co-authors collaborating with Andreas Rauber include:

  • Max Landauer
  • Florian Skopik
  • Markus Wurzenberger
  • Katharina Flicker
  • Rudolf Mayer

The venues where Andreas Rauber has most commonly published are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • International Journal of Digital Curation
  • ACM Transactions on Management Information Systems
  • Data Science Journal

Recent papers by Andreas Rauber demonstrate a focus on cybersecurity, machine learning, and data analysis, including:

  • System log clustering approaches for cyber security applications: A survey, 2020, Computers & Security
  • I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences, 2023, ACM Computing Surveys
  • Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed, 2020, IEEE Transactions on Reliability
  • Dealing with Security Alert Flooding: Using Machine Learning for Domain-independent Alert Aggregation, 2022, ACM Transactions on Privacy and Security
  • Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks, 2023, IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data

    A. Rauber;D. Merkl;M. Dittenbach

  • Content-based organization and visualization of music archives

    Elias Pampalk;Andreas Rauber;Dieter Merkl

  • The growing hierarchical self-organizing map

    M. Dittenbach;D. Merkl;A. Rauber

  • Using smoothed data histograms for cluster visualization in Self-Organizing Maps

    Elias Pampalk;Andreas Rauber;Dieter Merkl

  • EVALUATION OF FEATURE EXTRACTORS AND PSYCHO-ACOUSTIC TRANSFORMATIONS FOR MUSIC GENRE CLASSIFICATION

    Thomas Lidy;Andreas Rauber

  • Uncovering hierarchical structure in data using the growing hierarchical self-organizing map

    Michael Dittenbach;Andreas Rauber;Dieter Merkl

  • Systematic planning for digital preservation: evaluating potential strategies and building preservation plans

    Christoph Becker;Hannes Kulovits;Mark Guttenbrunner;Stephan Strodl

  • LifeCLEF 2015: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Musical Styles.

    Andreas Rauber;Elias Pampalk;Dieter Merkl

  • How to choose a digital preservation strategy: evaluating a preservation planning procedure

    Stephan Strodl;Christoph Becker;Robert Neumayer;Andreas Rauber

  • RHYME AND STYLE FEATURES FOR MUSICAL GENRE CLASSIFICATION BY SONG LYRICS

    Rudolf Mayer;Robert Neumayer;Andreas Rauber

  • The SOM-enhanced JukeBox: Organization and Visualization of Music Collections Based on Perceptual Models

    A. Rauber

  • Achieving human and machine accessibility of cited data in scholarly publications

    Joan Starr;Eleni Castro;Mercè Crosas;Michel Dumontier

  • Visual Methods for Analyzing Probabilistic Classification Data

    Bilal Alsallakh;Allan Hanbury;Helwig Hauser;Silvia Miksch

  • LabelSOM: on the labeling of self-organizing maps

    A. Rauber

  • Integrating automatic genre analysis into digital libraries

    Andreas Rauber;Alexander Müller-Kögler

  • Automatically Analyzing and Organizing Music Archives

    Andreas Rauber;Markus Frühwirth

  • PlaySOM and PocketSOMPlayer, Alternative Interfaces to Large Music Collections

    Robert Neumayer;Michael Dittenbach;Andreas Rauber

  • Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription Systems.

    Thomas Lidy;Andreas Rauber;Antonio Pertusa;José Manuel Iñesta Quereda

  • Keeping the Game Alive: Evaluating Strategies for the Preservation of Console Video Games

    Mark Guttenbrunner;Christoph Becker;Andreas Rauber

Frequent Co-Authors

Alexis Joly
Alexis Joly French Institute for Research in Computer Science and Automation - INRIA
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Concetto Spampinato
Concetto Spampinato University of Catania
Jun Liu
Jun Liu Infinia ML (United States)
Joemon M. Jose
Joemon M. Jose University of Glasgow
Jane Hunter
Jane Hunter University of Technology Sydney
Fabrizio Sebastiani
Fabrizio Sebastiani Institute of Information Science and Technologies
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen

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