Parameterized Complexity
Parameterized Complexity is a computational framework within complexity theory that classifies computational problems based on their inherent difficulty with respect to multiple input parameters, rather than solely input size, by isolating a parameter to measure fixed-parameter tractability.
346
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18.9K
Citations
404
Authors
215
Institutions
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2017–2026
70
346
Michael R. Fellows · Electronic Notes in Theoretical Computer Science · 2002 · 2.9K citations · Full text
Invitation to data reduction and problem kernelization
Jiong Guo, Rolf Niedermeier · ACM SIGACT News · 2007 · 381 citations
On the parameterized complexity of multiple-interval graph problems
Michael R. Fellows, Danny Hermelin, Frances Rosamond et al. · Theoretical Computer Science · 2008 · 328 citations
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University of Bergen
Bergen, Norway
23 h-index
88 publications
3.1K citations

Institute of Mathematical Sciences
Chennai, India
17 h-index
35 publications
2K citations

TU Wien
Vienna, Austria
17 h-index
63 publications
1.7K citations
Utrecht University
Utrecht, The Netherlands
17 h-index
28 publications
1.6K citations
Technische Universität Berlin
Berlin, Germany
16 h-index
71 publications
1.9K citations

Victoria University of Wellington
Wellington, New Zealand
14 h-index
20 publications
2.1K citations
Friedrich Schiller University Jena
Jena, Germany
13 h-index
21 publications
2.2K citations

Saarland University
Saarbrücken, Germany
12 h-index
16 publications
513 citations
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Repository · 25 publications · 746 citations
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23 publications · 1.2K citations
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16 publications · 494 citations
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15 publications · 1.7K citations
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Repository · 15 publications · 236 citations
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