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Raimund Seidel

Raimund Seidel

D-Index & Metrics

Computer Science

D-Index
48
Citations
11840
World Ranking
6094
National Ranking
283

Mathematics

D-Index
48
Citations
11839
World Ranking
1193
National Ranking
63

Overview

Raimund Seidel is affiliated with Saarland University in Germany and has contributed significantly to the field of computer science. Their research primarily spans several subfields including artificial intelligence, computational theory and mathematics, computer graphics and computer-aided design, information systems, and electrical and electronic engineering.

The scientist's work covers a range of advanced topics such as:

  • Advanced Graph Theory Research
  • Computational Geometry and Mesh Generation
  • Machine Learning and Data Classification
  • Machine Learning and Algorithms
  • Data Mining Algorithms and Applications
  • Graph theory and CDMA systems
  • Imbalanced Data Classification Techniques

Raimund Seidel's recent publications include several papers focusing on complexity, graph theory, and computational geometry, published in notable venues:

  • The Influence of Dimensions on the Complexity of Computing Decision Trees, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • The influence of dimensions on the complexity of computing decision trees, 2025, Artificial Intelligence
  • The Influence of Dimensions on the Complexity of Computing Decision Trees, 2022, arXiv (Cornell University)
  • Inserting One Edge into a Simple Drawing is Hard, 2022, Discrete & Computational Geometry
  • A Note on the 2-Colored Rectilinear Crossing Number of Random Point Sets in the Unit Square, 2023, arXiv (Cornell University)

Frequent collaborators include Stephen Kobourov, Maarten Löffler, Fabrizio Montecchiani, Marcin Pilipczuk, and Ignaz Rutter, each having multiple joint publications with Seidel.

The scientist has contributed to various academic journals and conferences, with multiple papers appearing in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Artificial Intelligence
  • Discrete & Computational Geometry
  • Acta Mathematica Academiae Scientiarum Hungaricae

Raimund Seidel's body of work spans 15 publications in computer science, demonstrating a diverse engagement with foundational and applied research in the discipline.

Best Publications

  • On the shape of a set of points in the plane

    H. Edelsbrunner;D. Kirkpatrick;R. Seidel

  • Constructing arrangements of lines and hyperplanes with applications

    H Edelsbrunner;J O'Rouke;R Seidel

  • The ultimate planar convex hull algorithm

    David G Kirkpatrick;Raimund Seidel

  • Reprint of: A simple and fast incremental randomized algorithm for computing trapezoidal decompositions and for triangulating polygons

    Raimund Seidel

  • Voronoi diagrams and arrangements

    Herbert Edelsbrunner;Raimund Seidel

  • Randomized Search Trees

    Raimund Seidel;Raimund Seidel;Cecilia R. Aragon

  • How good are convex hull algorithms

    David Avis;David Bremner;Raimund Seidel;Raimund Seidel

  • On the all-pairs-shortest-path problem in unweighted undirected graphs

    Raimund Seidel

  • Small-dimensional linear programming and convex hulls made easy

    Raimund Seidel

  • Randomized search trees

    C.R. Aragon;R.G. Seidel

  • Efficiently computing and representing aspect graphs of polyhedral objects

    Z. Gigus;J. Canny;R. Seidel

  • Four results on randomized incremental constructions

    Kenneth L. Clarkson;Kurt Mehlhorn;Raimund Seidel

  • A Simple and Fast Incremental Randomized Algorithm for Computing Trapezoidal Decompositions and for Triangulating Polygons

    Unknown

  • Linear programming and convex hulls made easy

    Raimund Seidel

  • Constructing higher-dimensional convex hulls at logarithmic cost per face

    R Seidel

  • Computing convolutions by reciprocal search

    Leonidas J. Guibas;Raimund Seidel

  • On the difficulty of triangulating three-dimensional nonconvex polyhedra.

    Jim Ruppert;Raimund Seidel

  • Backwards Analysis of Randomized Geometric Algorithms

    Raimund Seidel

  • How to net a lot with little: small ε-nets for disks and halfspaces

    Jiří Matoušek;Raimund Seidel;E. Welzl

  • The Nature and Meaning of Perturbations in Geometric Computing

    Raimund Seidel

  • Constructing arrangements of lines and hyperplanes with applications

    Herbert Edelsbrunner;Joseph O'Rourke;Raimund Seidel

Frequent Co-Authors

Herbert Edelsbrunner
Herbert Edelsbrunner Institute of Science and Technology Austria
Micha Sharir
Micha Sharir Tel Aviv University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Kurt Mehlhorn
Kurt Mehlhorn Max Planck Institute for Informatics
Bernard Chazelle
Bernard Chazelle Princeton University
Jeff Erickson
Jeff Erickson University of Illinois at Urbana-Champaign
John Canny
John Canny University of California, Berkeley
Emo Welzl
Emo Welzl ETH Zurich
Boris Aronov
Boris Aronov New York University
János Pach
János Pach Alfréd Rényi Institute of Mathematics

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