Time-resolved Counting Statistics

Time-Resolved Counting Statistics is a statistical framework that characterizes the temporal evolution of discrete event counts by analyzing their distribution and fluctuations over resolved time intervals, distinguishing it from static or integrated counting methods through its explicit dependence on time-dependent measurement resolution.

7

Publications

515

Citations

12

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

12

  1. TE
    Tilman Esslinger

    ETH Zurich, Switzerland

    1 publications · 325 citations

    1

    h-index

  2. GR
    G. Ranucci

    Joint Institute for Nuclear Research, Russia

    1 publications · 23 citations

    1

    h-index

  3. AÖ
    Anton Öttl

    ETH Zurich, Switzerland

    1 publications · 325 citations

    1

    h-index

  4. MK
    Michael Köhl

    University of Cambridge, United Kingdom

    1 publications · 325 citations

    1

    h-index

  5. LI
    L. I. Schiff

    Stanford University, United States

    1 publications · 70 citations

    1

    h-index

1–5 of 12

Venues

  1. 2

    h-index

  2. Physical Review Letters

    PRL · 2 publications · 357 citations

    2

    h-index

  3. Physical Chemistry Chemical Physics

    PCCP · 1 publications · 27 citations

    1

    h-index

  4. Physical Review

    1 publications · 70 citations

    1

    h-index

  5. Proceedings of the Physical Society Section A

    1 publications · 13 citations

    1

    h-index

1–5