Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Term-weighting approaches in automatic text retrieval
19885.9k citationsGerard Salton, Chris Buckleyprofile →
Improving retrieval performance by relevance feedback
1990988 citationsGerard Salton, Chris Buckleyprofile →
Citations per year, relative to Chris Buckley Chris Buckley (= 1×)
peers
Stephen Robertson
Countries citing papers authored by Chris Buckley
Since
Specialization
Citations
This map shows the geographic impact of Chris Buckley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chris Buckley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Buckley more than expected).
This network shows the impact of papers produced by Chris Buckley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chris Buckley. The network helps show where Chris Buckley may publish in the future.
Co-authorship network of co-authors of Chris Buckley
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Buckley.
A scholar is included among the top collaborators of Chris Buckley based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Chris Buckley. Chris Buckley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Buckley, Chris, Amit Singhal, & Mandar Mitra. (1996). Using Query Zoning and Correlation Within SMART: TREC 5.. Text REtrieval Conference. 105–118.50 indexed citations
12.
Buckley, Chris, Amit Singhal, Mandar Mitra, & Gerard Salton. (1995). New Retrieval Approaches Using SMART: TREC 4.. Text REtrieval Conference. 25–48.228 indexed citations
13.
Buckley, Chris, Gerard Salton, James Allan, & Amit Singhal. (1994). Automatic Query expansion using SMART : TREC 3. Text REtrieval Conference. 69–80.336 indexed citations
14.
Buckley, Chris, James Allan, & Gerard Salton. (1993). Automatic routing and ad-hoc retrieval using SMART: TREC 2. Text REtrieval Conference. 45–55.36 indexed citations
15.
Salton, Gerard, Chris Buckley, & James Allan. (1992). Automatic structuring of text files. eCommons (Cornell University). 5(1). 1–17.7 indexed citations
16.
Buckley, Chris, Gerard Salton, & James Allan. (1992). Automatic Retrieval With Locality Information Using SMART.. Text REtrieval Conference. 59–72.83 indexed citations
17.
Salton, Gerard & Chris Buckley. (1992). Automatic text structuring experiments. 199–210.3 indexed citations
18.
Fuhr, Norbert & Chris Buckley. (1992). Optimizing document indexing and search term weighting based on probabilistic models. Text REtrieval Conference. 89–100.12 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.