Cross-platform Benchmarking

Cross-Platform Benchmarking is a formal evaluation framework that systematically measures and compares the performance, behavior, or outcomes of entities, processes, or systems across multiple digital platforms using standardized metrics and aligned experimental conditions to enable valid cross-contextual analysis.

58

Publications

3.2K

Citations

324

Authors

140

Institutions

Publications per year

2017–2026

25

Authors

324

  1. JG
    Jiaxian Guo

    Shanghai Jiao Tong University, China

    2 publications · 554 citations

    2

    h-index

  2. AS
    Andreas Sewe

    Technische Universität Darmstadt, Germany

    2 publications · 114 citations

    2

    h-index

  3. WX
    Wei Xu

    The Ohio State University, United States

    2 publications · 175 citations

    2

    h-index

  4. LK
    Lizy K. John

    The University of Texas at Austin, United States

    2 publications · 74 citations

    2

    h-index

  5. WZ
    Weinan Zhang

    Shanghai Jiao Tong University, China

    2 publications · 554 citations

    2

    h-index

1–5 of 324

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 227 citations

    4

    h-index

  2. IACR Cryptology ePrint Archive

    Repository · 1 publications · 16 citations

    1

    h-index

  3. Patterns

    1 publications · 89 citations

    1

    h-index

  4. Empirical Software Engineering

    1 publications · 59 citations

    1

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 19 citations

    1

    h-index

1–5