World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
17622
World Ranking
7369
National Ranking
357

Overview

Bernhard Seeger is affiliated with Philipp University of Marburg in Germany. Their research primarily centers on the field of Computer Science, with a focus on several subfields that include Artificial Intelligence, Information Systems and Management, Information Systems, Signal Processing, and Molecular Biology.

Seeger's work spans various main topics, highlighting research data management practices and scientific computing and data management. Other significant areas of their research include geographic information systems studies, data quality and management, time series analysis and forecasting, DNA and biological computing, and anomaly detection techniques and applications.

Their recent papers include the following:

  • Detection and annotation of plant organs from digitised herbarium scans using deep learning, 2020, Biodiversity Data Journal
  • Users of open Big Earth data - An analysis of the current state, 2021, Computers & Geosciences
  • High-scale random access on DNA storage systems, 2022, NAR Genomics and Bioinformatics
  • Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education, 2022, Remote Sensing
  • A user perspective on future cloud-based services for Big Earth data, 2021, International Journal of Digital Earth

Frequent co-authors who have collaborated with Seeger include:

  • Jörg Bendix
  • Julia Wagemann
  • Stephan Siemen
  • Jana Holznigenkemper
  • Sohaib Younis

The most common venues for Seeger's publications consist of:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Datenbank-Spektrum
  • arXiv (Cornell University)
  • Proceedings of the Conference on Research Data Infrastructure
  • Biodiversity Data Journal

Best Publications

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

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

  • Progressive skyline computation in database systems

    Dimitris Papadias;Yufei Tao;Greg Fu;Bernhard Seeger

  • An optimal and progressive algorithm for skyline queries

    Dimitris Papadias;Yufei Tao;Greg Fu;Bernhard Seeger

  • Efficient processing of spatial joins using R-trees

    Thomas Brinkhoff;Hans-Peter Kriegel;Bernhard Seeger

  • An asymptotically optimal multiversion B-tree

    Bruno Becker;Stephan Gschwind;Thomas Ohler;Bernhard Seeger

  • Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes

    Caetano Traina;Agma J. M. Traina;Bernhard Seeger;Christos Faloutsos

  • Multi-step processing of spatial joins

    Thomas Brinkhoff;Hans-Peter Kriegel;Ralf Schneider;Bernhard Seeger

  • Efficient computation of reverse skyline queries

    Evangelos Dellis;Bernhard Seeger

  • Fast indexing and visualization of metric data sets using slim-trees

    C. Traina;A. Traina;C. Faloutsos;B. Seeger

  • The Buddy-Tree: An Efficient and Robust Access Method for Spatial Data Base Systems

    Bernhard Seeger;Hans-Peter Kriegel

  • Parallel processing of spatial joins using R-trees

    T. Brinkhoff;H.-P. Kriegel;B. Seeger

  • Semantics and implementation of continuous sliding window queries over data streams

    Jürgen Krämer;Bernhard Seeger

  • A Generic Approach to Bulk Loading Multidimensional Index Structures

    Jochen Van den Bercken;Bernhard Seeger;Peter Widmayer

  • Data redundancy and duplicate detection in spatial join processing

    J.-P. Dittrich;B. Seeger

  • The user's view on biodiversity data sharing — Investigating facts of acceptance and requirements to realize a sustainable use of research data —

    Neela Enke;Anne E. Thessen;Kerstin Bach;Jörg Bendix

  • Techniques for Design and Implementation of Efficient Spatial Access Methods

    Bernhard Seeger;Hans-Peter Kriegel

  • Progressive merge join: a generic and non-blocking sort-based join algorithm

    Jens-Peter Dittrich;Bernhard Seeger;David Scot Taylor;Peter Widmayer

  • PIPES: a public infrastructure for processing and exploring streams

    Jürgen Krämer;Bernhard Seeger

  • Towards an integrated biodiversity and ecological research data management and archiving platform: the German federation for the curation of biological data (GFBio)

    Michael Diepenbroek;Frank Oliver Glöckner;Peter Grobe;Anton Güntsch

  • Design and Implementation of a Geographic Search Engine

    Alexander Markowetz;Yen-Yu Chen;Torsten Suel;Xiaohui Long;Xiaohui Long

  • The buddy tree: an efficient and robust access method for spatial data base

    Bernhard Seeger;Hans-Peter Kriegel

Frequent Co-Authors

Hans-Peter Kriegel
Hans-Peter Kriegel Ludwig-Maximilians-Universität München
Peter Widmayer
Peter Widmayer ETH Zurich
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside
Bernd Freisleben
Bernd Freisleben Philipp University of Marburg
Dimitris Papadias
Dimitris Papadias Hong Kong University of Science and Technology
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Goetz Graefe
Goetz Graefe Google (United States)
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Robert Hoehndorf
Robert Hoehndorf King Abdullah University of Science and Technology

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