Search Complexity Analysis
Search Complexity Analysis is a theoretical framework within algorithmic analysis that characterizes the efficiency of search operations in data structures, particularly probabilistic hierarchical structures like skip lists, by quantifying the expected number of comparisons and pointer traversals required to locate an element as a function of input size.
344
Publications
19K
Citations
682
Authors
349
Institutions
Publications per year
2017–2026
29
344
A fast string searching algorithm
Robert S. Boyer, J Strother Moore · Communications of the ACM · 1977 · 2.3K citations · Full text
Analytic and Algorithmic Solution of Random Satisfiability Problems
Marc Mézard, Giorgio Parisi, Riccardo Zecchina · Science · 2002 · 1.1K citations · Full text
The complexity of logic-based abduction
Thomas Eiter, Georg Gottlob · Journal of the ACM · 1995 · 428 citations · Full text
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349
University of California, Los Angeles
Los Angeles, United States
10 h-index
14 publications
703 citations

University of Waterloo
Waterloo, Canada
8 h-index
15 publications
517 citations

University of Alberta
Edmonton, Canada
7 h-index
21 publications
1.6K citations
AT&T (United States)
Bedminster, United States
6 h-index
6 publications
433 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
586 citations
Princeton University
Princeton, United States
6 h-index
7 publications
300 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
9 publications
290 citations
University of Chile
Santiago, Chile
5 h-index
7 publications
307 citations
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11 publications · 781 citations
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JACM · 12 publications · 1.2K citations
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9 publications · 418 citations
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8 publications · 551 citations
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Conference · 5 publications · 113 citations
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