Success Rate Analysis

Success Rate Analysis is a methodological framework within carrier phase ambiguity resolution that quantifies the probability of correctly fixing integer ambiguities by distinguishing between successful and incorrect resolutions based on statistical reliability criteria.

6.7K

Publications

303.1K

Citations

29.7K

Authors

5.9K

Institutions

Publications per year

2017–2026

1.6K

Authors

29.7K

  1. MF
    Michael Frass

    Medical University of Vienna, Austria

    8 publications · 271 citations

    8

    h-index

  2. SD
    Steven D. Wexner

    Cleveland Clinic Florida, United States

    8 publications · 888 citations

    8

    h-index

  3. KK
    Karl‐Heinz Kück

    Asklepios Klinik St. Georg, Germany

    8 publications · 757 citations

    8

    h-index

  4. PJ
    P. J. G. Teunissen

    Delft University of Technology, Netherlands

    8 publications · 401 citations

    8

    h-index

  5. SV
    Sandra Verhagen

    Delft University of Technology, Netherlands

    7 publications · 336 citations

    7

    h-index

1–5 of 29.7K

Venues

  1. PubMed

    Repository · 578 publications · 20.9K citations

    67

    h-index

  2. The Journal of Urology

    90 publications · 6.1K citations

    44

    h-index

  3. Radiology

    61 publications · 5.1K citations

    40

    h-index

  4. Anaesthesia

    76 publications · 3.5K citations

    36

    h-index

  5. British Journal of Ophthalmology

    BJO · 52 publications · 3K citations

    33

    h-index

1–5