Patent Retrieval

Patent Retrieval is a document retrieval task within the academic domain of information retrieval that specifically involves identifying and ranking patent documents in response to a user's query, distinguished by its focus on the unique structure, legal constraints, and technical content inherent to patent databases.

364

Publications

14.4K

Citations

789

Authors

336

Institutions

Publications per year

2017–2026

80

Variants

Patent Information Retrieval

Authors

789

  1. AF
    Atsushi Fujii

    University of Tsukuba, Japan

    16 publications · 606 citations

    12

    h-index

  2. MI
    Makoto Iwayama

    Hitachi (Japan), Japan

    11 publications · 453 citations

    10

    h-index

  3. NK
    Noriko Kando

    National Institute of Informatics, Japan

    10 publications · 414 citations

    10

    h-index

  4. AH
    Allan Hanbury

    TU Wien, Austria

    7 publications · 170 citations

    7

    h-index

  5. GJ
    Gareth J. F. Jones

    Dublin City University, Ireland

    7 publications · 276 citations

    7

    h-index

1–5 of 789

Venues

  1. World Patent Information

    65 publications · 2.2K citations

    28

    h-index

  2. Scientometrics

    26 publications · 1.5K citations

    21

    h-index

  3. Information Processing & Management

    10 publications · 1.3K citations

    10

    h-index

  4. Expert Systems with Applications

    9 publications · 655 citations

    9

    h-index

  5. 8

    h-index

1–5