Fine-grained Complexity
Fine-Grained Complexity is a subfield of computational complexity theory that classifies computational problems based on their precise running time dependencies, distinguishing itself by aiming to establish tight conditional lower bounds under conjectured hardness assumptions of well-studied problems such as the Strong Exponential Time Hypothesis or the 3SUM conjecture.
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2017–2026
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Fine-grained Complexity Theory
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Action and Crime: A Fine-Grained Approach
Alvin I. Goldman · University of Pennsylvania Law Review · 1994 · 72 citations
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Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
152 citations
Stanford University
Stanford, United States
4 h-index
4 publications
78 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
3 publications
63 citations

Saarland University
Saarbrücken, Germany
3 h-index
5 publications
109 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
3 h-index
4 publications
71 citations
The University of Texas at Austin
Austin, United States
2 h-index
7 publications
117 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
5 publications
88 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
82 citations
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Repository · 11 publications · 202 citations
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Repository · 4 publications · 55 citations
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2 publications · 78 citations
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TALG · 2 publications · 31 citations
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1 publications · 16 citations
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