World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10179
World Ranking
6773
National Ranking
323

Myra Spiliopoulou 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 Myra Spiliopoulou 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: 346 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Myra Spiliopoulou 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 Myra Spiliopoulou 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Myra Spiliopoulou is affiliated with Otto-von-Guericke University Magdeburg in Germany. Their research spans multiple domains within computer science and neuroscience, particularly focusing on the intersections of artificial intelligence with cognitive and sensory neuroscience.

Their scholarly work encompasses a variety of fields, with 69 publications in computer science and 57 in neuroscience. Within these broad areas, they specialize in subfields such as artificial intelligence, cognitive neuroscience, sensory systems, neurology, and signal processing.

The main research topics addressed by Myra Spiliopoulou include:

  • Hearing, Cochlea, Tinnitus, Genetics
  • Hearing Loss and Rehabilitation
  • Vestibular and auditory disorders
  • Time Series Analysis and Forecasting
  • Digital Mental Health Interventions
  • Data Stream Mining Techniques
  • EEG and Brain-Computer Interfaces

Their recent notable publications include:

  • "XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series" (2022) published in Neural Computing and Applications
  • "Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI" (2021) published in Progress in Brain Research
  • "Gender-Specific Differences in Patients With Chronic Tinnitus-Baseline Characteristics and Treatment Effects" (2020) published in Frontiers in Neuroscience
  • "Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison" (2020) published in Scientific Reports
  • "Dimensions of Tinnitus-Related Distress" (2022) published in Brain Sciences

Frequently contributing venues for their research include:

  • Frontiers in Neuroscience
  • Scientific Reports
  • arXiv (Cornell University)
  • Sensors
  • bioRxiv (Cold Spring Harbor Laboratory)

Myra Spiliopoulou collaborates with various researchers in their field. Their frequent co-authors include:

  • Winfried Schlee
  • Rüdiger Pryss
  • Vishnu Unnikrishnan
  • Uli Niemann
  • Berthold Langguth

Best Publications

  • A survey of temporal knowledge discovery paradigms and methods

    J.F. Roddick;M. Spiliopoulou

  • Web usage mining for Web site evaluation

    Myra Spiliopoulou

  • A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis

    Myra Spiliopoulou;Bamshad Mobasher;Bettina Berendt;Miki Nakagawa

  • Open challenges for data stream mining research

    Georg Krempl;Indre Žliobaite;Dariusz Brzeziński;Eyke Hüllermeier

  • Analysis of navigation behaviour in web sites integrating multiple information systems

    Bettina Berendt;Myra Spiliopoulou

  • MONIC: modeling and monitoring cluster transitions

    Myra Spiliopoulou;Irene Ntoutsi;Yannis Theodoridis;Rene Schult

  • A bibliography of temporal, spatial and spatio-temporal data mining research

    John F. Roddick;Myra Spiliopoulou

  • An updated bibliography of temporal, spatial, and spatio-temporal data mining research

    John F. Roddick;Kathleen Hornsby;Myra Spiliopoulou

  • Knowledge Discovery in Databases: PKDD 2006

    Johannes Fürnkranz;Tobias Scheffer;Myra Spiliopoulou

  • Improving the effectiveness of a web site with web usage mining

    M. Spiliopoulou;C. Pohle;L. C. Faulstich

  • Data Mining for Measuring and Improving the Success of Web Sites

    Myra Spiliopoulou;Carsten Pohle

  • The impact of site structure and user environment on session reconstruction in Web usage analysis

    Bettina Berendt;Bamshad Mobasher;Miki Nakagawa;Myra Spiliopoulou

  • WUM: A tool for Web Utilization analysis

    M. Spiliopoulou;L. C. Faulstich

  • Mining and Visualizing the Evolution of Subgroups in Social Networks

    Tanja Falkowski;Jorg Bartelheimer;Myra Spiliopoulou

  • C-DBSCAN: Density-Based Clustering with Constraints

    Carlos Ruiz;Myra Spiliopoulou;Ernestina Menasalvas

  • Data Mining for the Web

    Myra Spiliopoulou

  • The Influence of Incentives and Culture on Knowledge Sharing

    R.M. Muller;M. Spiliopoulou;H.-J. Lenz

  • Dealing with concept drift and class imbalance in multi-label stream classification

    Eleftherios Spyromitros Xioufis;Myra Spiliopoulou;Grigorios Tsoumakas;Ioannis Vlahavas

  • WUM - A Tool for WWW Ulitization Analysis

    Myra Spiliopoulou;Lukas Faulstich

  • Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis

    Haizheng Zhang;Bamshad Mobasher;Lee Giles;Andrew McCallum

  • Web Usage Analysis and User Profiling

    Brij Masand;Myra Spiliopoulou

  • Proceedings of the 17th European conference on Machine Learning

    Johannes Fürnkranz;Tobias Scheffer;Myra Spiliopoulou

Frequent Co-Authors

Winfried Schlee
Winfried Schlee University of Regensburg
Thomas Probst
Thomas Probst University of Salzburg
Manfred Reichert
Manfred Reichert University of Ulm
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Berthold Langguth
Berthold Langguth University of Regensburg
Henry Völzke
Henry Völzke Greifswald University Hospital
Bamshad Mobasher
Bamshad Mobasher DePaul University
Bernhard Preim
Bernhard Preim Otto-von-Guericke University Magdeburg
Olfa Nasraoui
Olfa Nasraoui University of Louisville

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