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.
Countries citing papers authored by Kathleen McKeown
Since
Specialization
Citations
This map shows the geographic impact of Kathleen McKeown'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 Kathleen McKeown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen McKeown more than expected).
Fields of papers citing papers by Kathleen McKeown
This network shows the impact of papers produced by Kathleen McKeown. 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 Kathleen McKeown. The network helps show where Kathleen McKeown may publish in the future.
Co-authorship network of co-authors of Kathleen McKeown
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen McKeown.
A scholar is included among the top collaborators of Kathleen McKeown 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 Kathleen McKeown. Kathleen McKeown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Macbeth, Jamie, et al.. (2016). Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression.. Smith ScholarWorks (Smith College). 2196–2206.19 indexed citations
11.
McKeown, Kathleen, et al.. (2016). Extractive and abstractive event summarization over streaming web text. International Joint Conference on Artificial Intelligence. 4002–4003.1 indexed citations
12.
McKeown, Kathleen, et al.. (2013). Cluster-based Web Summarization. International Joint Conference on Natural Language Processing. 1124–1128.2 indexed citations
13.
Thadani, Kapil & Kathleen McKeown. (2013). Supervised Sentence Fusion with Single-Stage Inference. International Joint Conference on Natural Language Processing. 1410–1418.19 indexed citations
14.
Biran, Or & Kathleen McKeown. (2013). Classifying Taxonomic Relations between Pairs of Wikipedia Articles. International Joint Conference on Natural Language Processing. 788–794.12 indexed citations
15.
Ma, Wei-Yun & Kathleen McKeown. (2013). Using a Supertagged Dependency Language Model to Select a Good Translation in System Combination. North American Chapter of the Association for Computational Linguistics. 433–438.3 indexed citations
16.
Pradhan, Sameer, Steven Bethard, Wayne Ward, et al.. (2002). Building a Foundation System for Producing Short Answers to Factual Questions.. Text REtrieval Conference.6 indexed citations
McKeown, Kathleen. (1984). Using focus to constrain language generation. Elsevier eBooks. 261–274.1 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.