Data Recovery

Data Recovery is the academic concept referring to the systematic process of retrieving lost, corrupted, or inaccessible data from storage systems, particularly within cloud environments, through techniques that distinguish it from general data backup by focusing on reconstructing data after unexpected failure or deletion events.

1.1K

Publications

58.8K

Citations

2.9K

Authors

909

Institutions

Publications per year

2017–2026

313

Authors

2.9K

  1. DF
    Dan Feng

    Huazhong University of Science and Technology, China

    9 publications · 371 citations

    9

    h-index

  2. JH
    Joe H. Chow

    Rensselaer Polytechnic Institute, United States

    9 publications · 478 citations

    9

    h-index

  3. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    8 publications · 734 citations

    8

    h-index

  4. DL
    David Lomet

    Microsoft (United States), United States

    8 publications · 167 citations

    8

    h-index

  5. SL
    Sangjin Lee

    Korea University, South Korea

    7 publications · 189 citations

    8

    h-index

1–5 of 2.9K

Venues

  1. IEEE Transactions on Information Theory

    25 publications · 4.1K citations

    22

    h-index

  2. Digital Investigation

    34 publications · 1.5K citations

    19

    h-index

  3. arXiv (Cornell University)

    Repository · 20 publications · 697 citations

    13

    h-index

  4. IEEE Transactions on Signal Processing

    11 publications · 760 citations

    11

    h-index

  5. Electronics Letters

    11 publications · 269 citations

    11

    h-index

1–5