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.
Exploratory Search: Beyond the Query-Response Paradigm
This map shows the geographic impact of Ryen W. White'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 Ryen W. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryen W. White more than expected).
This network shows the impact of papers produced by Ryen W. White. 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 Ryen W. White. The network helps show where Ryen W. White may publish in the future.
Co-authorship network of co-authors of Ryen W. White
This figure shows the co-authorship network connecting the top 25 collaborators of Ryen W. White.
A scholar is included among the top collaborators of Ryen W. White 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 Ryen W. White. Ryen W. White is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Trippas, Johanne R., Damiano Spina, Mohammad Saiedur Rahaman, et al.. (2019). Building a Benchmark for Task Progress in Digital Assistants. RMIT Research Repository (RMIT University Library).2 indexed citations
Bennett, Paul N. & Ryen W. White. (2015). Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track. Text REtrieval Conference.1 indexed citations
10.
Cooper, Kathryn E., et al.. (2014). “THICK” NARRATIVES: MINING IMPLICIT, OBLIQUE, AND DEEPER UNDERSTANDINGS IN VIDEOTAPED RESEARCH DATA. INTED2014 Proceedings. 6772–6778.1 indexed citations
11.
Guo, Qi, et al.. (2011). Why users switch: Understanding and predicting search engine switching rationales. International ACM SIGIR Conference on Research and Development in Information Retrieval.1 indexed citations
12.
Kotov, Alexander, Paul N. Bennett, Ryen W. White, Susan Dumais, & Jaime Teevan. (2011). Modeling and Analyses of Multi-Session Search Tasks. International ACM SIGIR Conference on Research and Development in Information Retrieval.2 indexed citations
13.
Lynch, Karen, et al.. (2010). Pushing Content to Mobile Phones: What do Students Want?. USC Research Bank (University of the Sunshine Coast).2 indexed citations
Edmonds, Andy, Ryen W. White, Dan Morris, & Steven M. Drucker. (2007). Instrumenting the dynamic web. Journal of Web Engineering. 6(3). 244–260.10 indexed citations
16.
White, Ryen W., Bill Kules, Steven M. Drucker, & m.c. schraefel. (2006). Supporting exploratory search. Communications of the ACM. 49(4). 36–39.130 indexed citations
17.
White, Ryen W.. (2004). A Visualisation Technique to Communicate Implicit Feedback Decisions.2 indexed citations
18.
White, Ryen W., Joemon M. Jose, & Ian Ruthven. (2003). Using Top-Ranking Sentences for Web Search Result Presentation..1 indexed citations
19.
Ounis, Iadh, et al.. (2002). Using Hierarchical Clustering and Summarisation Approaches for Web Retrieval: Glasgow at the TREC 2002 Interactive Track.. Text REtrieval Conference.12 indexed citations
20.
White, Ryen W., Joemon M. Jose, & Ian Ruthven. (2002). Comparing explicit and implicit feedback techniques for Web retrieval: TREC-10 interactive track report. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 534–538.27 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.