Pattern Recognition In Spectra

Pattern Recognition in Spectra is a methodological framework in spectral interpretation that identifies and classifies meaningful structural regularities in spectral data through the analysis of characteristic signal patterns, distinguishing it from general signal processing by its focus on interpretable, domain-specific spectral signatures.

91

Publications

2.8K

Citations

267

Authors

118

Institutions

Publications per year

2017–2026

18

Authors

267

  1. MA
    M. A. Grechkoseeva

    Sobolev Institute of Mathematics, Russia

    5 publications · 84 citations

    5

    h-index

  2. BR
    Bruce R. Kowalski

    University of Washington, United States

    5 publications · 279 citations

    5

    h-index

  3. CF
    Charles F. Bender

    Lawrence Livermore National Laboratory, United States

    5 publications · 279 citations

    5

    h-index

  4. AV
    A. V. Vasil’ev

    Sobolev Institute of Mathematics, Russia

    3 publications · 57 citations

    3

    h-index

  5. TL
    T. L. Isenhour

    University of North Carolina at Chapel Hill, United States

    3 publications · 63 citations

    3

    h-index

1–5 of 267

Venues

  1. Analytical Chemistry

    8 publications · 466 citations

    8

    h-index

  2. 6

    h-index

  3. Analytica Chimica Acta

    5 publications · 128 citations

    5

    h-index

  4. Surface and Interface Analysis

    SIA · 3 publications · 43 citations

    3

    h-index

  5. Siberian Mathematical Journal

    3 publications · 57 citations

    3

    h-index

1–5