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.
A comparison of statistical significance tests for information retrieval evaluation
2007468 citationsJames Allan, Ben Carterette et al.profile →
Citations per year, relative to Ben Carterette Ben Carterette (= 1×)
peers
Ian Soboroff
Countries citing papers authored by Ben Carterette
Since
Specialization
Citations
This map shows the geographic impact of Ben Carterette'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 Ben Carterette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Carterette more than expected).
This network shows the impact of papers produced by Ben Carterette. 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 Ben Carterette. The network helps show where Ben Carterette may publish in the future.
Co-authorship network of co-authors of Ben Carterette
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Carterette.
A scholar is included among the top collaborators of Ben Carterette 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 Ben Carterette. Ben Carterette is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jones, Rosie, Ben Carterette, Ann Clifton, et al.. (2020). TREC 2020 Podcasts Track Overview.. Text REtrieval Conference.1 indexed citations
7.
Verma, Manisha, Emine Yılmaz, Rishabh Mehrotra, et al.. (2016). Overview of the TREC Tasks Track 2016.. Text REtrieval Conference.3 indexed citations
8.
Yılmaz, Emine, Manisha Verma, Rishabh Mehrotra, et al.. (2015). Overview of the TREC 2015 Tasks Track.. Data Archiving and Networked Services (DANS).8 indexed citations
Carterette, Ben, et al.. (2013). Overview of the TREC 2013 Session Track. Text REtrieval Conference.26 indexed citations
11.
Vries, Arjen P. de, et al.. (2012). Adapting Query Expansion to Search Proficiency. Data Archiving and Networked Services (DANS).
12.
Zhu, Dongqing & Ben Carterette. (2012). Exploring Evidence Aggregation Methods and External Expansion Sources for Medical Record Search.. Text REtrieval Conference.9 indexed citations
13.
Carterette, Ben & Praveen Chandar. (2011). Implicit Feedback and Document Filtering for Retrieval Over Query Sessions.. Text REtrieval Conference.1 indexed citations
14.
Kanoulas, Evangelos, et al.. (2010). Overview of the TREC 2010 Session Track.. Open Research Online (The Open University).12 indexed citations
15.
Carterette, Ben, et al.. (2009). Minimal Test Collections for Relevance Feedback. Text REtrieval Conference.1 indexed citations
16.
Radlinski, Filip, Paul N. Bennett, & Ben Carterette. (2009). Redundancy, Diversity, and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop. ACM SIGIR Forum.1 indexed citations
17.
Carterette, Ben, et al.. (2009). Million Query Track 2009 Overview.. Text REtrieval Conference.34 indexed citations
18.
Allan, James, Javed A. Aslam, Ben Carterette, Virgil Pavlu, & Evangelos Kanoulas. (2008). Million Query Track 2008 Overview. Defense Technical Information Center (DTIC).30 indexed citations
19.
Carterette, Ben & Rosie Jones. (2007). Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 20. 217–224.89 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.