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 Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries
2001779 citationsWendy W. Chapman, Will Bridewell et al.Journal of Biomedical Informaticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Will Bridewell
Since
Specialization
Citations
This map shows the geographic impact of Will Bridewell'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 Will Bridewell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Bridewell more than expected).
This network shows the impact of papers produced by Will Bridewell. 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 Will Bridewell. The network helps show where Will Bridewell may publish in the future.
Co-authorship network of co-authors of Will Bridewell
This figure shows the co-authorship network connecting the top 25 collaborators of Will Bridewell.
A scholar is included among the top collaborators of Will Bridewell 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 Will Bridewell. Will Bridewell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lovett, Andrew, Will Bridewell, & Paul Bello. (2021). Selection, Engagement, & Enhancement: A Framework for Modeling Visual Attention. Proceedings of the Annual Meeting of the Cognitive Science Society. 43(43).1 indexed citations
Briggs, Gordon, Will Bridewell, & Paul Bello. (2017). A Computational Model of the Role of Attention in Subitizing and Enumeration.. Cognitive Science.7 indexed citations
6.
Lovett, Andrew, Will Bridewell, & Paul Bello. (2017). Goal-Directed Deployment of Attention in a Computational Model: A Study in Multiple-Object Tracking.. Cognitive Science.2 indexed citations
7.
Bridewell, Will & Paul Bello. (2016). Inattentional Blindness in a Coupled Perceptual-Cognitive System.. Cognitive Science.5 indexed citations
8.
Bello, Paul, Will Bridewell, & Christina Wasylyshyn. (2016). Attentive and Pre-Attentive Processes in Multiple Object Tracking: A Computational Investigation.. Cognitive Science.7 indexed citations
9.
Bridewell, Will & Paul Bello. (2015). Incremental Object Perception in an Attention-Driven Cognitive Architecture.. Cognitive Science.13 indexed citations
10.
Bridewell, Will & Paul Bello. (2015). Reasoning About Belief Revision to Change Minds: A Challenge for Cognitive Systems.1 indexed citations
11.
Bridewell, Will & Pat Langley. (2011). A Computational Account of Everyday Abductive Inference. Cognitive Science. 33(33).13 indexed citations
12.
Bridewell, Will & Alistair Isaac. (2011). Recognizing Deception: A Model of Dynamic Belief Attribution. Edinburgh Research Explorer (University of Edinburgh).10 indexed citations
13.
Bridewell, Will, et al.. (2011). Alignment and clustering of breast cancer patients by longitudinal treatment history.. PubMed Central.5 indexed citations
14.
Bridewell, Will & Alistair Isaac. (2011). Advances in Cognitive Systems. National Conference on Artificial Intelligence.27 indexed citations
15.
Bridewell, Will & Ljupčo Todorovski. (2010). The Induction and Transfer of Declarative Bias. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 401–406.3 indexed citations
Todorovski, Ljupčo, et al.. (2005). Inducing hierarchical process models in dynamic domains. National Conference on Artificial Intelligence. 892–897.23 indexed citations
19.
Chapman, Wendy W., Will Bridewell, Paul Hanbury, Gregory F. Cooper, & Bruce G. Buchanan. (2001). A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. Journal of Biomedical Informatics. 34(5). 301–310.779 indexed citations breakdown →
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.