Real-time Processing

Real-Time Processing is a computational paradigm within edge and distributed systems that enables immediate data analysis and response within strict temporal constraints, distinguishing it from batch or delayed processing by guaranteeing timely execution critical for latency-sensitive applications in edge computing, IoT, and electroacoustic systems.

17.2K

Publications

889.8K

Citations

58.2K

Authors

7.8K

Institutions

Publications per year

2017–2026

6.1K

Authors

58.2K

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    20 publications · 6.2K citations

    19

    h-index

  2. TJ
    Tie Jun Cui

    Southeast University, China

    15 publications · 3.2K citations

    15

    h-index

  3. II
    Idaku Ishii

    Hiroshima University, Japan

    15 publications · 498 citations

    13

    h-index

  4. MZ
    Michael Zollhöfer

    Max Planck Institute for Informatics, Germany

    13 publications · 4.2K citations

    12

    h-index

  5. TT
    Takeshi Takaki

    Hiroshima University, Japan

    13 publications · 448 citations

    12

    h-index

1–5 of 58.2K

Venues

  1. IEEE Access

    241 publications · 13.2K citations

    60

    h-index

  2. Sensors

    346 publications · 14.2K citations

    55

    h-index

  3. 53

    h-index

  4. ACM Transactions on Graphics

    TOG · 71 publications · 12.7K citations

    49

    h-index

  5. Optics Express

    114 publications · 5.6K citations

    42

    h-index

1–5