Clickstream Analysis

Clickstream Analysis is a computational method within educational data mining and web analytics that systematically records, models, and interprets the sequential traces of user interactions with digital learning environments to infer behavioral patterns, navigational strategies, and engagement dynamics.

917

Publications

65.6K

Citations

2.7K

Authors

737

Institutions

Publications per year

2017–2026

312

Authors

2.7K

  1. CG
    Christopher G. Brinton

    Purdue University West Lafayette, United States

    8 publications · 466 citations

    8

    h-index

  2. RT
    Ruiming Tang

    Huawei Technologies (China), China

    7 publications · 270 citations

    7

    h-index

  3. YL
    Yiqun Liu

    Tsinghua University, China

    7 publications · 175 citations

    7

    h-index

  4. SM
    Shaoping Ma

    Tsinghua University, China

    7 publications · 175 citations

    7

    h-index

  5. RW
    Ryen W. White

    Microsoft (United States), United States

    6 publications · 408 citations

    6

    h-index

1–5 of 2.7K

Venues

  1. arXiv (Cornell University)

    Repository · 21 publications · 824 citations

    15

    h-index

  2. Expert Systems with Applications

    11 publications · 456 citations

    11

    h-index

  3. Information Sciences

    11 publications · 291 citations

    11

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 1.6K citations

    10

    h-index

  5. Computer Networks

    8 publications · 679 citations

    8

    h-index

1–5