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.
An audio-visual corpus for speech perception and automatic speech recognition
2006755 citationsStuart Cunningham et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stuart Cunningham
Since
Specialization
Citations
This map shows the geographic impact of Stuart Cunningham'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 Stuart Cunningham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Cunningham more than expected).
Fields of papers citing papers by Stuart Cunningham
This network shows the impact of papers produced by Stuart Cunningham. 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 Stuart Cunningham. The network helps show where Stuart Cunningham may publish in the future.
Co-authorship network of co-authors of Stuart Cunningham
This figure shows the co-authorship network connecting the top 25 collaborators of Stuart Cunningham.
A scholar is included among the top collaborators of Stuart Cunningham 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 Stuart Cunningham. Stuart Cunningham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Christensen, Heidi, et al.. (2020). An Exploratory Survey Questionnaire to Understand What Emotions Are Important and Difficult to Communicate for People with Dysarthria and Their Methodology of Communicating. 14(7). 187–191.5 indexed citations
Christensen, Heidi, et al.. (2016). A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus. Language Resources and Evaluation. 1993–1997.10 indexed citations
Christensen, Heidi, Stuart Cunningham, Charles W. Fox, Phil Green, & Thomas Hain. (2012). INTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association.13 indexed citations
Cunningham, Stuart. (2012). The Identification of Technical Vocabulary in Texts. 137–146.
13.
Christensen, Heidi, et al.. (2012). SPECS - an embedded platform, speech-driven environmental control system evaluated in a virtuous circle framework.. Edinburgh Research Explorer.2 indexed citations
Cunningham, Stuart, et al.. (2009). Research on Social Engagement with a Rabbitic User Interface. CogPrints (University of Southampton). 13(1). 339–47.3 indexed citations
Moore, Roger K. & Stuart Cunningham. (2005). Plasticity in systems for automatic speech recognition: a review.3 indexed citations
20.
Palmer, Rebecca, Pam Enderby, & Stuart Cunningham. (2004). The Effect of Three Practice Conditions on the Consistency of Chronic Dysarthric Speech. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 12(4). 183.12 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.