Temperature Anomaly Detection

Temperature Anomaly Detection is a computational method that identifies deviations in temperature readings from expected or baseline patterns, distinguishing itself by its focus on detecting statistically significant, non-conforming thermal variations within monitored environments.

178

Publications

7.6K

Citations

661

Authors

320

Institutions

Publications per year

2017–2026

86

Authors

661

  1. ET
    Edward T. Baker

    NOAA Pacific Marine Environmental Laboratory, United States

    3 publications · 116 citations

    3

    h-index

  2. PM
    P. M. Fulton

    University of California, Santa Cruz, United States

    2 publications · 368 citations

    2

    h-index

  3. PK
    Prakash Kripakaran

    University of Exeter, United Kingdom

    2 publications · 76 citations

    2

    h-index

  4. HV
    Hariharasudhan Viswanathan

    Rutgers, The State University of New Jersey, United States

    2 publications · 39 citations

    2

    h-index

  5. RN
    Robert N. Harris

    Oregon State University, United States

    2 publications · 368 citations

    2

    h-index

1–5 of 661

Venues

  1. Geophysical Research Letters

    10 publications · 566 citations

    10

    h-index

  2. International Journal of Remote Sensing

    6 publications · 323 citations

    6

    h-index

  3. Sensors

    5 publications · 179 citations

    5

    h-index

  4. Bulletin of the American Meteorological Society

    BAMS · 3 publications · 216 citations

    3

    h-index

  5. Advances in Space Research

    3 publications · 49 citations

    3

    h-index

1–5