Kernelization
Kernelization is a preprocessing technique in parameterized algorithms that, given an instance of a problem and a parameter, reduces it in polynomial time to an equivalent instance—called a kernel—whose size is bounded by a function of the parameter alone.
100
Publications
6.3K
Citations
177
Authors
92
Institutions
Publications per year
2017–2026
23
Parents
100
Invitation to data reduction and problem kernelization
Jiong Guo, Rolf Niedermeier · ACM SIGACT News · 2007 · 381 citations
1–5 of 100
177
16
h-index
14
h-index
13
h-index
12
h-index
10
h-index
1–5 of 177
92
University of Bergen
Bergen, Norway
18 h-index
49 publications
3K citations
Utrecht University
Utrecht, The Netherlands
15 h-index
25 publications
2K citations

Institute of Mathematical Sciences
Chennai, India
14 h-index
20 publications
1.5K citations
Max Planck Society
Munich, Germany
8 h-index
11 publications
714 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
7 h-index
8 publications
404 citations

University of Warsaw
Warsaw, Poland
6 h-index
21 publications
851 citations
Technische Universität Berlin
Berlin, Germany
6 h-index
8 publications
252 citations
Friedrich Schiller University Jena
Jena, Germany
5 h-index
10 publications
1.5K citations
1–8 of 92
TALG · 8 publications · 456 citations
8
h-index
Repository · 7 publications · 191 citations
7
h-index
5 publications · 422 citations
5
h-index
Repository · 5 publications · 195 citations
5
h-index
5 publications · 408 citations
5
h-index
1–5