Industrial Data Management

Industrial Data Management is a systematic framework for the acquisition, storage, integration, processing, and governance of data generated by industrial systems and cyber-physical devices within the Industrial Internet of Things, distinguished by its focus on real-time analytics, interoperability, scalability, and domain-specific constraints in industrial environments.

527

Publications

30.9K

Citations

1.7K

Authors

599

Institutions

Publications per year

2017–2026

372

Authors

1.7K

  1. GS
    Guodong Shao

    National Institute of Standards and Technology, United States

    4 publications · 108 citations

    4

    h-index

  2. DO
    Dominic O’Sullivan

    University College Cork, Ireland

    4 publications · 538 citations

    4

    h-index

  3. DL
    Don Libes

    National Institute of Standards and Technology, United States

    4 publications · 121 citations

    4

    h-index

  4. LD
    Li Da Xu

    Old Dominion University, United States

    4 publications · 1.4K citations

    4

    h-index

  5. JB
    José Barata

    Universidade Nova de Lisboa, Portugal

    4 publications · 91 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. Procedia CIRP

    39 publications · 3.5K citations

    20

    h-index

  2. Procedia Manufacturing

    11 publications · 765 citations

    11

    h-index

  3. Procedia Computer Science

    10 publications · 363 citations

    10

    h-index

  4. IEEE Access

    9 publications · 1.1K citations

    9

    h-index

  5. IEEE Transactions on Industrial Informatics

    9 publications · 1.5K citations

    9

    h-index

1–5