Reference Clustering

Reference Clustering is a reference curation methodology that partitions scholarly references into coherent groups based on semantic or relational similarity, distinguishing itself by enabling the organization of academic contributions according to shared thematic, methodological, or conceptual attributes within a structured knowledge domain.

57

Publications

3.3K

Citations

148

Authors

74

Institutions

Publications per year

2017–2026

17

Authors

148

  1. AJ
    Alexander J. Gates

    Northeastern University, United States

    4 publications · 176 citations

    4

    h-index

  2. YA
    Yong‐Yeol Ahn

    Indiana University Bloomington, United States

    4 publications · 176 citations

    4

    h-index

  3. JB
    James Bailey

    The University of Melbourne, Australia

    3 publications · 286 citations

    3

    h-index

  4. CR
    Christopher R. John

    William Harvey Research Institute, United Kingdom

    2 publications · 182 citations

    2

    h-index

  5. KV
    Karin Verspoor

    The University of Melbourne, Australia

    2 publications · 242 citations

    2

    h-index

1–5 of 148

Venues

  1. Scientometrics

    8 publications · 392 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 146 citations

    2

    h-index

  3. Journal of Informetrics

    2 publications · 50 citations

    2

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 101 citations

    2

    h-index

  5. Journal of Machine Learning Research

    JMLR · 2 publications · 167 citations

    2

    h-index

1–5