World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
7410
World Ranking
13853
National Ranking
220

Michail Vlachos 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 Michail Vlachos 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Michail Vlachos 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 Michail Vlachos 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Michail Vlachos is affiliated with the University of Lausanne in Switzerland and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence. Their research portfolio includes more than 40 publications, spanning a variety of subfields such as artificial intelligence, computer vision and pattern recognition, information systems, biophysics, and electrical and electronic engineering.

The main topics in Michail Vlachos's work include:

  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Topic Modeling
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Recommender Systems and Techniques
  • Cell Image Analysis Techniques

The scientist's recent papers demonstrate engagement with explainability and recommendation systems, including studies published in noted venues. Selected recent publications include:

  • "Explaining classifiers by constructing familiar concepts," 2022, Machine Learning
  • "Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform," 2023, ACM Transactions on Information Systems
  • "Reflective-net: learning from explanations," 2023, Data Mining and Knowledge Discovery
  • "Deceptive XAI: Typology, Creation and Detection," 2023, SN Computer Science
  • "Deceptive AI Explanations: Creation and Detection," 2022, Proceedings of the 14th International Conference on Agents and Artificial Intelligence

Michail Vlachos collaborates frequently with several co-authors. Notable collaborators include Johannes Schneider, with whom they have co-authored multiple works, Ahmad Ajalloeian, Avi Arampatzis, Evangelos Kanoulas, and Theodora Tsikrika.

Their publications appear often in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • ACM Transactions on Information Systems
  • Machine Learning
  • Data Mining and Knowledge Discovery

In addition to journal and conference papers, Michail Vlachos has contributed to academic book publications. One of their books, "Experimental IR Meets Multilinguality, Multimodality, and Interaction," was published by Springer Science+Business Media in 2023.

Best Publications

  • Discovering similar multidimensional trajectories

    M. Vlachos;G. Kollios;D. Gunopulos

  • Indexing multi-dimensional time-series with support for multiple distance measures

    Michail Vlachos;Marios Hadjieleftheriou;Dimitrios Gunopulos;Eamonn Keogh

  • Identifying similarities, periodicities and bursts for online search queries

    Michail Vlachos;Christopher Meek;Zografoula Vagena;Dimitrios Gunopulos

  • On Periodicity Detection and Structural Periodic Similarity

    Michail Vlachos;Philip S. Yu;Vittorio Castelli

  • LB_Keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures

    Eamonn Keogh;Li Wei;Xiaopeng Xi;Sang-Hee Lee

  • Iterative incremental clustering of time series

    Jessica Lin;Michail Vlachos;Eamonn Keogh;Dimitrios Gunopulos

  • Iterative incremental clustering of time series

    Jessica Lin;Michail Vlachos;Eamonn J. Keogh;Dimitrios Gunopulos

  • Non-linear dimensionality reduction techniques for classification and visualization

    Michail Vlachos;Carlotta Domeniconi;Dimitrios Gunopulos;George Kollios

  • Mining Time Series Data

    Chotirat Ann Ratanamahatana;Jessica Lin;Dimitrios Gunopulos;Eamonn J. Keogh

  • A Wavelet-Based Anytime Algorithm for K-Means Clustering of Time Series

    Michail Vlachos;Jessica Lin;Eamonn Keogh;Dimitrios Gunopulos

  • Indexing Multidimensional Time-Series

    Michail Vlachos;Marios Hadjieleftheriou;Dimitrios Gunopulos;Eamonn Keogh

  • Online amnesic approximation of streaming time series

    T. Palpanas;M. Vlachos;E. Keogh;D. Gunopulos

  • Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures

    Eamonn Keogh;Li Wei;Xiaopeng Xi;Michail Vlachos

  • Rotation invariant distance measures for trajectories

    Michail Vlachos;D. Gunopulos;Gautam Das

  • NET-FLi: on-the-fly compression, archiving and indexing of streaming network traffic

    Francesco Fusco;Marc Ph. Stoecklin;Michail Vlachos

  • Robust similarity measures for mobile object trajectories

    M. Vlachos;D. Gunopulos;G. Kollios

  • Global distance-based segmentation of trajectories

    Aris Anagnostopoulos;Michail Vlachos;Marios Hadjieleftheriou;Eamonn Keogh

  • Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors

    T. Ide;S. Papadimitriou;M. Vlachos

  • Domain-Driven, Actionable Knowledge Discovery

    Longbing Cao;Chengqi Zhang

  • The threshold join algorithm for top-k queries in distributed sensor networks

    D. Zeinalipour-Yazti;Z. Vagena;D. Gunopulos;V. Kalogeraki

  • Mining Time Series Data

    Eamonn J. Keogh

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Eamonn Keogh
Eamonn Keogh University of California, Riverside
Claudio Lucchese
Claudio Lucchese Ca Foscari University of Venice
Vittorio Castelli
Vittorio Castelli IBM (United States)
Nick Koudas
Nick Koudas University of Toronto
Divesh Srivastava
Divesh Srivastava AT&T (United States)
George Kollios
George Kollios Boston University
Vana Kalogeraki
Vana Kalogeraki Athens University of Economics and Business
Marios Hadjieleftheriou
Marios Hadjieleftheriou AT&T (United States)

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