Interpreting Experimental Data

Interpreting Experimental Data is a scholarly methodological process that involves systematically analyzing and explicating empirical observations to discern underlying patterns, relationships, or principles in accordance with the theoretical framework and experimental design of a study.

3.7K

Publications

325.7K

Citations

11.7K

Authors

3K

Institutions

Publications per year

2017–2026

668

Authors

11.7K

  1. JA
    John A. List

    University of Chicago, United States

    6 publications · 501 citations

    6

    h-index

  2. CK
    Clemens Kreutz

    University of Freiburg, Germany

    6 publications · 680 citations

    6

    h-index

  3. MJ
    Matthew J. Simpson

    Queensland University of Technology, Australia

    5 publications · 265 citations

    5

    h-index

  4. JT
    Jens Timmer

    University of Freiburg, Germany

    5 publications · 652 citations

    5

    h-index

  5. SE
    Scott E. Maxwell

    University of Notre Dame, United States

    5 publications · 3.1K citations

    5

    h-index

1–5 of 11.7K

Venues

  1. The Journal of Chemical Physics

    66 publications · 3.1K citations

    29

    h-index

  2. Physical Review Letters

    PRL · 38 publications · 3.9K citations

    28

    h-index

  3. Bioinformatics

    33 publications · 5.3K citations

    26

    h-index

  4. Journal of Applied Physics

    47 publications · 6.4K citations

    26

    h-index

  5. PubMed

    Repository · 43 publications · 3.4K citations

    22

    h-index

1–5