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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
101
Citations
98510
World Ranking
343
National Ranking
19

Hans-Peter Kriegel 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 Hans-Peter Kriegel 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: 472 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Hans-Peter Kriegel 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 Hans-Peter Kriegel 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: 101 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2009 - ACM Fellow For contributions to knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional data.

Overview

Hans-Peter Kriegel is affiliated with Ludwig-Maximilians-Universität München in Germany. Their research primarily spans the domain of computer science, with particular focus on subfields such as computer networks and communications, signal processing, and management science and operations research.

The main topics of their work include data management and algorithms, advanced database systems and queries, constraint satisfaction and optimization, and multi-criteria decision making.

Recent papers authored or coauthored by Hans-Peter Kriegel include:

  • Complete and Sufficient Spatial Domination of Multidimensional Rectangles (2020), published in arXiv (Cornell University)
  • Investigating a Correlation between Subcellular Localization and Fold of Proteins (2020), published in TUGraz OPEN Library (Graz University of Technology)

Frequent coauthors in their work are:

  • Tobias Emrich
  • Andreas Züfle
  • Peer Kröger
  • Matthias Renz
  • Johannes Aßfalg

Hans-Peter Kriegel has published regularly in venues such as:

  • arXiv (Cornell University)
  • TUGraz OPEN Library (Graz University of Technology)

They were recognized as an ACM Fellow in 2009 for contributions related to knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional data.

Best Publications

  • A density-based algorithm for discovering clusters in large spatial Databases with Noise

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

  • LOF: identifying density-based local outliers

    Markus M. Breunig;Hans-Peter Kriegel;Raymond T. Ng;Jörg Sander

  • The R*-tree: an efficient and robust access method for points and rectangles

    Norbert Beckmann;Hans-Peter Kriegel;Ralf Schneider;Bernhard Seeger

  • OPTICS: ordering points to identify the clustering structure

    Mihael Ankerst;Markus M. Breunig;Hans-Peter Kriegel;Jörg Sander

  • DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN

    Erich Schubert;Jörg Sander;Martin Ester;Hans Peter Kriegel

  • The X-tree: an index structure for high-dimensional data

    Stefan Berchtold;Daniel A. Keim;Hans-Peter Kriegel

  • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

    Jörg Sander;Martin Ester;Hans-Peter Kriegel;Xiaowei Xu

  • A Three-Way Model for Collective Learning on Multi-Relational Data

    Maximilian Nickel;Volker Tresp;Hans-peter Kriegel

  • Integrating structured biological data by Kernel Maximum Mean Discrepancy

    Karsten M. Borgwardt;Arthur Gretton;Malte J. Rasch;Hans-Peter Kriegel

  • A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

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

    Hans-Peter Kriegel;Peer Kröger;Arthur Zimek

  • Protein function prediction via graph kernels

    Karsten M. Borgwardt;Cheng Soon Ong;Stefan Schönauer;S. V. N. Vishwanathan

  • Shortest-path kernels on graphs

    K.M. Borgwardt;H.P. Kriegel

  • Density-based clustering

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

  • Angle-based outlier detection in high-dimensional data

    Hans-Peter Kriegel;Matthias Schubert;Arthur Zimek

  • Efficient processing of spatial joins using R-trees

    Thomas Brinkhoff;Hans-Peter Kriegel;Bernhard Seeger

  • A survey on unsupervised outlier detection in high-dimensional numerical data

    Arthur Zimek;Erich Schubert;Hans-Peter Kriegel

  • 3D Shape Histograms for Similarity Search and Classification in Spatial Databases

    Mihael Ankerst;Gabi Kastenmüller;Hans-Peter Kriegel;Thomas Seidl

  • Optimal multi-step k-nearest neighbor search

    Thomas Seidl;Hans-Peter Kriegel

  • Incremental Clustering for Mining in a Data Warehousing Environment

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Michael Wimmer

  • Subspace clustering

    Hans-Peter Kriegel;Peer Kröger;Arthur Zimek

Frequent Co-Authors

Peer Kröger
Peer Kröger Kiel University
Arthur Zimek
Arthur Zimek University of Southern Denmark
Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München
Daniel A. Keim
Daniel A. Keim University of Konstanz
Martin Ester
Martin Ester Simon Fraser University
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Jörg Sander
Jörg Sander University of Alberta
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock
Bernhard Seeger
Bernhard Seeger Philipp University of Marburg
Kai Yu
Kai Yu Horizon Robotics Inc.

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