A density-based algorithm for discovering clusters in large spatial databases with noise. M Ester, HP Kriegel, J Sander, X Xu Kdd 96 (34), 226-231, 1996 | 20405 | 1996 |

The R*-tree: An efficient and robust access method for points and rectangles N Beckmann, HP Kriegel, R Schneider, B Seeger Proceedings of the 1990 ACM SIGMOD international conference on Management of …, 1990 | 6462 | 1990 |

LOF: identifying density-based local outliers MM Breunig, HP Kriegel, RT Ng, J Sander Proceedings of the 2000 ACM SIGMOD international conference on Management of …, 2000 | 5872 | 2000 |

OPTICS: Ordering points to identify the clustering structure M Ankerst, MM Breunig, HP Kriegel, J Sander ACM Sigmod record 28 (2), 49-60, 1999 | 4483 | 1999 |

The X-tree: An index structure for high-dimensional data S Berchtold, DA Keim, HP Kriegel Very Large Data-Bases, 28-39, 1996 | 2203 | 1996 |

Density-based clustering in spatial databases: The algorithm gdbscan and its applications J Sander, M Ester, HP Kriegel, X Xu Data mining and knowledge discovery 2 (2), 169-194, 1998 | 1564 | 1998 |

Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering HP Kriegel, P Kröger, A Zimek Acm transactions on knowledge discovery from data (tkdd) 3 (1), 1-58, 2009 | 1225 | 2009 |

A three-way model for collective learning on multi-relational data M Nickel, V Tresp, HP Kriegel Icml, 2011 | 1203 | 2011 |

Efficient processing of spatial joins using R-trees T Brinkhoff, HP Kriegel, B Seeger ACM SIGMOD Record 22 (2), 237-246, 1993 | 953 | 1993 |

Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005 | 846 | 2005 |

3D shape histograms for similarity search and classification in spatial databases M Ankerst, G Kastenmüller, HP Kriegel, T Seidl International symposium on spatial databases, 207-226, 1999 | 834 | 1999 |

Integrating structured biological data by kernel maximum mean discrepancy KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola Bioinformatics 22 (14), e49-e57, 2006 | 781 | 2006 |

The pyramid-technique:towards breaking the curse of dimensionality HPK S Berchtold,C Böhm ACM SIGMOD Int.Conference on Management of Data 1998 (1998), 142-153, 1998 | 772 | 1998 |

Incremental generalization for mining in a data warehousing environment M Ester, R Wittmann International Conference on Extending Database Technology, 135-149, 1998 | 729 | 1998 |

Incremental Clustering for Mining in a Data Warehousing Environment XX M Esrer,HP Kriegel,J Sander,M Wimmer Proc.24th VLDB Conference 24 (1998), 323-333, 1998 | 729* | 1998 |

Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005 | 721 | 2005 |

Density‐based clustering HP Kriegel, P Kröger, J Sander, A Zimek Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (3 …, 2011 | 686 | 2011 |

Angle-based outlier detection in high-dimensional data HP Kriegel, M Schubert, A Zimek Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 661 | 2008 |

Optimal multi-step k-nearest neighbor search T Seidl, HP Kriegel Proceedings of the 1998 ACM SIGMOD international conference on Management of …, 1998 | 658 | 1998 |

A survey on unsupervised outlier detection in high‐dimensional numerical data A Zimek, E Schubert, HP Kriegel Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (5 …, 2012 | 605 | 2012 |