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

Authors

54

  1. TC
    Trishul Chilimbi

    Microsoft (United States), United States

    2 publications · 515 citations

    2

    h-index

  2. WB
    Woongki Baek

    Ulsan National Institute of Science and Technology, South Korea

    2 publications · 515 citations

    2

    h-index

  3. TO
    Taiwo O. Edosomwan

    1 publications · 13 citations

    1

    h-index

  4. LK
    Lars Kai Hansen

    Technical University of Denmark, Denmark

    1 publications · 24 citations

    1

    h-index

  5. HW
    Haipeng Wang

    Chinese Academy of Sciences, China

    1 publications · 40 citations

    1

    h-index

1–5 of 54

Venues

  1. Computer Science and Information Systems

    2 publications · 40 citations

    2

    h-index

  2. eLife

    1 publications · 105 citations

    1

    h-index

  3. ACM SIGPLAN Notices

    1 publications · 78 citations

    1

    h-index

  4. Rapid Communications in Mass Spectrometry

    RCM · 1 publications · 40 citations

    1

    h-index

  5. Analytica Chimica Acta

    1 publications · 44 citations

    1

    h-index

1–5