Search Engine Benchmarking
Search Engine Benchmarking is a systematic evaluation framework that belongs to the class of performance assessment methodologies, specifically designed to measure, compare, and analyze the accuracy, efficiency, and robustness of protein database search engines under standardized experimental conditions.
15
Publications
1.8K
Citations
54
Authors
29
Institutions
Publications per year
2017–2026
3
Parents
15
Woongki Baek, Trishul Chilimbi · 2010 · 437 citations
Willem Visser, Jaco Geldenhuys, Matthew B. Dwyer · 2012 · 155 citations
Nicolas Fiorini, David J. Lipman, Zhiyong Lu · eLife · 2017 · 105 citations · Full text
Woongki Baek, Trishul Chilimbi · ACM SIGPLAN Notices · 2010 · 78 citations
1–5 of 15
54
2
h-index
Ulsan National Institute of Science and Technology, South Korea
2 publications · 515 citations
2
h-index
1 publications · 13 citations
1
h-index
1
h-index
1
h-index
1–5 of 54
29
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
590 citations
Stanford University
Stanford, United States
2 h-index
2 publications
515 citations
Microsoft (Canada)
Mississauga, Canada
1 h-index
1 publications
25 citations
Findwise (Sweden)
Gothenburg, Sweden
1 h-index
1 publications
24 citations
National Center for Biotechnology Information
Bethesda, United States
1 h-index
3 publications
315 citations
Center for Excellence in Molecular Cell Science
Shanghai, China
1 h-index
3 publications
120 citations
Muscular Dystrophy Canada
Toronto, Canada
1 h-index
5 publications
220 citations

Pukyong National University
Busan, South Korea
1 h-index
3 publications
36 citations
1–8 of 29
2 publications · 40 citations
2
h-index
1 publications · 105 citations
1
h-index
1 publications · 78 citations
1
h-index
RCM · 1 publications · 40 citations
1
h-index
1 publications · 44 citations
1
h-index
1–5