Result Merging

Result Merging is a federated search process that integrates heterogeneous query results from distributed information sources into a unified, coherent ranking by aligning, normalizing, and consolidating overlapping or complementary outputs according to relevance and source-specific metrics.

104

Publications

5.5K

Citations

316

Authors

121

Institutions

Publications per year

2017–2026

5

Variants

Result FusionSearch Result Merging

Authors

316

  1. JC
    Jamie Callan

    Carnegie Mellon University, United States

    7 publications · 437 citations

    7

    h-index

  2. LS
    Luo Si

    Purdue University West Lafayette, United States

    6 publications · 552 citations

    6

    h-index

  3. HG
    Héctor García-Molina

    Stanford University, United States

    5 publications · 392 citations

    5

    h-index

  4. MS
    Milad Shokouhi

    Microsoft (United States), United States

    4 publications · 280 citations

    4

    h-index

  5. SW
    Shengli Wu

    University of Ulster, United Kingdom

    4 publications · 89 citations

    4

    h-index

1–5 of 316

Venues

  1. Information Systems

    3 publications · 87 citations

    3

    h-index

  2. Information Retrieval

    3 publications · 54 citations

    3

    h-index

  3. Information Processing & Management

    3 publications · 183 citations

    3

    h-index

  4. Information Sciences

    2 publications · 34 citations

    2

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 135 citations

    2

    h-index

1–5