This map shows the geographic impact of Gordon Briggs'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 Gordon Briggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Briggs more than expected).
This network shows the impact of papers produced by Gordon Briggs. 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 Gordon Briggs. The network helps show where Gordon Briggs may publish in the future.
Co-authorship network of co-authors of Gordon Briggs
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Briggs.
A scholar is included among the top collaborators of Gordon Briggs 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 Gordon Briggs. Gordon Briggs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Briggs, Gordon, Christina Wasylyshyn, & Paul Bello. (2019). Elicitation of Quantified Description Under Time Constraints.. Cognitive Science. 1436–1442.1 indexed citations
7.
Khemlani, Sangeet & Gordon Briggs. (2018). Contrasts in reasoning about omissions. Cognitive Science.3 indexed citations
8.
Bello, Paul, Andrew Lovett, Gordon Briggs, & Kevin O’Neill. (2018). An Attention-Driven Computational Model of Human Causal Reasoning.. Cognitive Science.1 indexed citations
9.
Khemlani, Sangeet, Christina Wasylyshyn, Gordon Briggs, & Paul Bello. (2018). Mental models and omissive causation. Memory & Cognition. 46(8). 1344–1359.11 indexed citations
10.
Briggs, Gordon & Matthias Scheutz. (2017). The case for robot disobedience. (Cover story). Scientific American. 316(1). 44–47.1 indexed citations
11.
Briggs, Gordon, Will Bridewell, & Paul Bello. (2017). A Computational Model of the Role of Attention in Subitizing and Enumeration.. Cognitive Science.7 indexed citations
12.
Gervits, Felix, Gordon Briggs, & Matthias Scheutz. (2017). The Pragmatic Parliament: A Framework for Socially-Appropriate Utterance Selection in Artificial Agents.. Cognitive Science.10 indexed citations
13.
Briggs, Gordon & Matthias Scheutz. (2016). The Pragmatic Social Robot: Toward Socially-Sensitive Utterance Generation in Human-Robot Interactions.. National Conference on Artificial Intelligence.9 indexed citations
14.
Briggs, Gordon & Matthias Scheutz. (2015). “Sorry, I Can’t Do That”: Developing Mechanisms to Appropriately Reject Directives in Human-Robot Interactions. National Conference on Artificial Intelligence. 32–36.27 indexed citations
Núñez, Rafael C., Matthias Scheutz, Gordon Briggs, et al.. (2013). DS-based uncertain implication rules for inference and fusion applications. International Conference on Information Fusion. 1934–1941.9 indexed citations
Briggs, Gordon & Matthias Scheutz. (2011). Facilitating Mental Modeling in Collaborative Human-Robot Interaction through Adverbial Cues. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 239–247.20 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.