Kernel Data Structures

Kernel Data Structures is a foundational construct in operating system design that comprises organized formats and mechanisms employed by the kernel to manage system resources, enforce process isolation, and facilitate efficient inter-process communication and hardware abstraction.

77

Publications

4.7K

Citations

238

Authors

79

Institutions

Publications per year

2017–2026

14

Authors

238

  1. GG
    Golden G. Richard

    University of New Orleans, United States

    3 publications · 74 citations

    3

    h-index

  2. AB
    Arati Baliga

    Rutgers, The State University of New Jersey, United States

    3 publications · 301 citations

    3

    h-index

  3. XJ
    Xuxian Jiang

    North Carolina State University, United States

    3 publications · 420 citations

    3

    h-index

  4. LI
    Liviu Iftode

    Rutgers, The State University of New Jersey, United States

    3 publications · 301 citations

    3

    h-index

  5. DX
    Dongyan Xu

    Purdue University West Lafayette, United States

    3 publications · 295 citations

    3

    h-index

1–5 of 238

Venues

  1. Digital Investigation

    7 publications · 151 citations

    7

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  2. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 3 publications · 230 citations

    3

    h-index

  3. Neurocomputing

    2 publications · 90 citations

    2

    h-index

  4. Linux journal

    LJ · 2 publications · 33 citations

    2

    h-index

  5. 1

    h-index

1–5