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    Machine learning foundations· 1960

    A New Approach to Linear Filtering and Prediction Problems

    Rudolf E. Kalman (first author) · 1960

    Read the original

    DOI 10.1115/1.3662552OpenAlex W2105934661

    On the reading lists

    Why it matters

    Introduced recursive state estimation, foundational to tracking, robotics, and dynamical systems.

    Condensed from the expert lists' notes.

    Reading it

    Difficulty: Advanced

    Read this first: linear algebra; probability.

    The record

    First released
    1960 (from OpenAlex)
    Citations
    31,615 citations, as counted by OpenAlex (CC0)
    Named by
    the chatgpt list only
    Score
    0.462 · computed rank 275 · consensus 0.4, must-read 0.5, citations percentile 0.833 (pre-1970 · foundations), awards 0, existing lists 0. Method

    Editor's notes

    • Readability check: pass: The Kalman filter, from the source; mathematical but essential. (AI draft (Claude), not yet reviewed, 2026-10-29)

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.