World's Best Scientists 2026 revealed!
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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

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

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
Jörg Sander
Jörg Sander University of Alberta
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock
Bernhard Seeger
Bernhard Seeger Philipp University of Marburg
Nikos Mamoulis
Nikos Mamoulis University of Ioannina

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