Resistance Data Fitting

Resistance Data Fitting is a computational method that belongs to the class of data fitting techniques, specifically designed to model and analyze electrical resistance behavior by integrating domain-specific constraints and empirical correlations to enhance predictive accuracy under varying environmental and material conditions.

31

Publications

1.1K

Citations

103

Authors

47

Institutions

Publications per year

2017–2026

6

Authors

103

  1. TC
    Trudo Clarysse

    IMEC, Belgium

    2 publications · 50 citations

    2

    h-index

  2. UA
    Usama Afzal

    University of Education, Pakistan

    2 publications · 50 citations

    2

    h-index

  3. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    2 publications · 50 citations

    2

    h-index

  4. OK
    O Källbäck

    KTH Royal Institute of Technology, Sweden

    1 publications · 25 citations

    1

    h-index

  5. KS
    Karl‐Heinz Schwalbe

    L3S Research Center, Germany

    1 publications · 23 citations

    1

    h-index

1–5 of 103

Venues

  1. 2

    h-index

  2. 2

    h-index

  3. Experimental Mechanics

    2 publications · 36 citations

    2

    h-index

  4. Journal of Applied Physics

    2 publications · 41 citations

    2

    h-index

  5. Additive Manufacturing Letters

    1 publications · 15 citations

    1

    h-index

1–5