World's Best Scientists 2026 revealed!
Peer Kröger

Peer Kröger

D-Index & Metrics

Computer Science

D-Index
42
Citations
10043
World Ranking
8240
National Ranking
403

Peer Kröger 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 Peer Kröger 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: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Peer Kröger 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 Peer Kröger 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Peer Kröger is affiliated with Kiel University in Germany and has a research focus primarily within the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Signal Processing, Computational Theory and Mathematics, Computer Networks and Communications, and Transportation.

The scientist's main research topics include:

  • Anomaly Detection Techniques and Applications
  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Advanced Clustering Algorithms Research
  • Advanced Database Systems and Queries
  • Archaeology and ancient environmental studies
  • Vehicular Ad Hoc Networks (VANETs)

Peer Kröger has contributed to numerous publications with presence in prominent venues such as:

  • arXiv (Cornell University)
  • Informatik-Spektrum
  • 2021 International Conference on Data Mining Workshops (ICDMW)
  • ACM Transactions on Spatial Algorithms and Systems
  • Data Mining and Knowledge Discovery

Recent papers authored or co-authored by Kröger include:

  • "Mobility Data Science: Perspectives and Challenges," 2024, ACM Transactions on Spatial Algorithms and Systems
  • "Enhancing cluster analysis via topological manifold learning," 2023, Data Mining and Knowledge Discovery
  • "Multi-isotope fingerprints (O, Sr and Pb) in archaeological animal bone bioapatite: Similarity search and the suitability for provenance analysis in a geologically complex Alpine region," 2020, Archaeometry
  • "Tracking the Evolution of Water Flow Patterns Based on Spatio-Temporal Particle Flow Clusters," 2022, 2022 23rd IEEE International Conference on Mobile Data Management (MDM)
  • "Towards Mobility Data Science (Vision Paper)," 2023, arXiv (Cornell University)

Collaborations are notable with several frequent co-authors who have contributed to multidisciplinary angles within Kröger's research. These include Matthias Renz, Daniyal Kazempour, Maximilian Hünemörder, Andreas Züfle, and Andreas Lohrer.

The research contributions by Peer Kröger emphasize data-driven approaches, algorithmic development, and mobility science, integrating methods from artificial intelligence and data mining to address complex challenges in mobility patterns, clustering, and environmental provenance analysis.

Best Publications

  • Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering

    Hans-Peter Kriegel;Peer Kröger;Arthur Zimek

  • Density-based clustering

    Hans Peter Kriegel;Peer Kröger;Jörg Sander;Arthur Zimek

  • LoOP: local outlier probabilities

    Hans-Peter Kriegel;Peer Kröger;Erich Schubert;Arthur Zimek

  • Density‐based clustering

    Unknown

  • Density-Connected Subspace Clustering for High-Dimensional Data

    Karin Kailing;Hans-Peter Kriegel;Peer Kroger

  • Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data

    Hans-Peter Kriegel;Peer Kröger;Erich Schubert;Arthur Zimek

  • Can shared-neighbor distances defeat the curse of dimensionality?

    Michael E. Houle;Hans-Peter Kriegel;Peer Kröger;Erich Schubert

  • Interpreting and Unifying Outlier Scores

    Hans-Peter Kriegel;Peer Kröger;Erich Schubert;Arthur Zimek

  • Future trends in data mining

    Hans-Peter Kriegel;Karsten M. Borgwardt;Peer Kröger;Alexey Pryakhin

  • Density connected clustering with local subspace preferences

    C. Bohm;K. Railing;H.-P. Kriegel;P. Kroger

  • Computing Clusters of Correlation Connected objects

    Christian Böhm;Karin Kailing;Peer Kröger;Arthur Zimek

  • A generic framework for efficient subspace clustering of high-dimensional data

    H.-P. Kriegel;P. Kroger;M. Renz;S. Wurst

  • Efficient reverse k-nearest neighbor search in arbitrary metric spaces

    Elke Achtert;Christian Böhm;Peer Kröger;Peter Kunath

  • On Using Class-Labels in Evaluation of Clusterings

    Ines Färber;Stephan Günnemann;Hans-Peter Kriegel;Peer Kröger

  • Outlier Detection in Arbitrarily Oriented Subspaces

    Hans-Peter Kriegel;Peer Kroger;Erich Schubert;Arthur Zimek

  • DeLi-Clu: boosting robustness, completeness, usability, and efficiency of hierarchical clustering by a closest pair ranking

    Elke Achtert;Christian Böhm;Peer Kröger

  • A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms

    Hans-Peter Kriegel;Peer Kröger;Erich Schubert;Arthur Zimek

  • Density-based Projected Clustering over High Dimensional Data Streams.

    Irene Ntoutsi;Arthur Zimek;Themis Palpanas;Peer Kröger

  • Similarity search on time series based on threshold queries

    Johannes Aßfalg;Hans-Peter Kriegel;Peer Kröger;Peter Kunath

  • Data bubbles: quality preserving performance boosting for hierarchical clustering

    Markus M. Breunig;Hans-Peter Kriegel;Peer Kröger;Jörg Sander

  • Subspace clustering

    Hans-Peter Kriegel;Peer Kröger;Arthur Zimek

Frequent Co-Authors

Hans-Peter Kriegel
Hans-Peter Kriegel Ludwig-Maximilians-Universität München
Arthur Zimek
Arthur Zimek University of Southern Denmark
Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München
Christoph Mayr
Christoph Mayr University of Erlangen-Nuremberg
Peter Widmayer
Peter Widmayer ETH Zurich
François Bry
François Bry Ludwig-Maximilians-Universität München
Jörg Sander
Jörg Sander University of Alberta
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Ian Horrocks
Ian Horrocks University of Oxford
Terttu Vartiainen
Terttu Vartiainen Finnish Institute for Health and Welfare (THL)

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