This map shows the geographic impact of Curry Guinn'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 Curry Guinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curry Guinn more than expected).
This network shows the impact of papers produced by Curry Guinn. 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 Curry Guinn. The network helps show where Curry Guinn may publish in the future.
Co-authorship network of co-authors of Curry Guinn
This figure shows the co-authorship network connecting the top 25 collaborators of Curry Guinn.
A scholar is included among the top collaborators of Curry Guinn 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 Curry Guinn. Curry Guinn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Green, Nancy, Curry Guinn, & Ronnie W. Smith. (2012). Assisting Social Conversation between Persons with Alzheimer’s Disease and their Conversational Partners. North American Chapter of the Association for Computational Linguistics. 37–46.4 indexed citations
3.
Guinn, Curry, et al.. (2012). Computational Methods for Determining the Similarity between Ancient Greek Manuscripts. 6(2).
Guinn, Curry, et al.. (2011). Identifying Personality Types Using Document Classification Methods. The Florida AI Research Society. 5(2).10 indexed citations
6.
Guinn, Curry, et al.. (2010). Suppressing Independent Loops in Packing/Unpacking Loop Nests to Reduce Message Size for Message-Passing Code. 4(1).1 indexed citations
7.
Patterson, Eric, et al.. (2010). Active Appearance Models for Affect Recognition using Facial Expressions. 4(1).2 indexed citations
Guinn, Curry & Robert Hubal. (2006). Augmented transition networks (ATNs) for dialog control: A longitudinal study.. Computational intelligence. 395–400.2 indexed citations
10.
Guinn, Curry, et al.. (2006). A comparison of hand-crafted semantic grammars versus statistical natural language parsing in domain-specific voice transcription.. Computational intelligence. 377–382.
11.
Guinn, Curry, Robert Hubal, Robin R. Deterding, et al.. (2004). Usability and Acceptability Studies of Conversational Virtual Human Technology.. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 1–8.7 indexed citations
12.
Hubal, Robert, et al.. (2004). A Synthetic Character Application for Informed Consent. National Conference on Artificial Intelligence. 58–63.4 indexed citations
Chai, Joyce, Alan W. Biermann, & Curry Guinn. (1999). Two dimensional generalization in information extraction. National Conference on Artificial Intelligence. 431–438.9 indexed citations
16.
Allen, John E., et al.. (1999). Mixed-initiative interaction. IEEE Intelligent Systems and their Applications. 14(5). 14–23.258 indexed citations
17.
Bagga, Amit, et al.. (1995). A trainable system for the extraction of meaning from text. Conference of the Centre for Advanced Studies on Collaborative Research. 3.1 indexed citations
18.
Guinn, Curry. (1995). The Role of Computer-Computer Dialogues in Human-Computer Dialogue System Development.5 indexed citations
19.
Guinn, Curry. (1994). Meta-dialogue behaviors: improving the efficiency of human-machine dialogue.11 indexed citations
20.
Guinn, Curry. (1993). A Computational Model of Dialogue Initiative in Collaborative Discourse.11 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.