This map shows the geographic impact of Paul Bello'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 Paul Bello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Bello more than expected).
This network shows the impact of papers produced by Paul Bello. 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 Paul Bello. The network helps show where Paul Bello may publish in the future.
Co-authorship network of co-authors of Paul Bello
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Bello.
A scholar is included among the top collaborators of Paul Bello 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 Paul Bello. Paul Bello 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, Christina Wasylyshyn, & Paul Bello. (2019). Elicitation of Quantified Description Under Time Constraints.. Cognitive Science. 1436–1442.1 indexed citations
5.
Bello, Paul, Andrew Lovett, Gordon Briggs, & Kevin O’Neill. (2018). An Attention-Driven Computational Model of Human Causal Reasoning.. Cognitive Science.1 indexed citations
6.
Briggs, Gordon, Will Bridewell, & Paul Bello. (2017). A Computational Model of the Role of Attention in Subitizing and Enumeration.. Cognitive Science.7 indexed citations
7.
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
8.
Bridewell, Will & Paul Bello. (2016). Inattentional Blindness in a Coupled Perceptual-Cognitive System.. Cognitive Science.5 indexed citations
9.
Bello, Paul, Will Bridewell, & Christina Wasylyshyn. (2016). Attentive and Pre-Attentive Processes in Multiple Object Tracking: A Computational Investigation.. Cognitive Science.7 indexed citations
10.
Bridewell, Will & Paul Bello. (2015). Incremental Object Perception in an Attention-Driven Cognitive Architecture.. Cognitive Science.13 indexed citations
11.
Bello, Paul & Sangeet Khemlani. (2015). A model-based theory of omissive causation.. Cognitive Science.4 indexed citations
12.
Gluck, Kevin A., et al.. (2014). Computational Cognition Ideation Challenge. Cognitive Science. 36(36).1 indexed citations
13.
Bello, Paul. (2012). Pretense and cognitive architecture.2 indexed citations
14.
Bello, Paul. (2011). Shared Representations of Belief and Their Effects on Action Selection: A Preliminary Computational Cognitive Model. Cognitive Science. 33(33).8 indexed citations
15.
Bello, Paul & Marcello Guarini. (2010). Introspection and Mindreading as Mental Simulation. eScholarship (California Digital Library). 32(32).5 indexed citations
Bello, Paul & Nicholas L. Cassimatis. (2007). Some Computational Desiderata for Recognizing and Reasoning About the Intentions of Others.. National Conference on Artificial Intelligence. 1–6.2 indexed citations
18.
Bello, Paul, et al.. (2006). Developmental Accounts of Theory-of-Mind Acquisition: Achieving Clarity via Computational Cognitive Modeling. eScholarship (California Digital Library). 28(28).15 indexed citations
19.
Bello, Paul, et al.. (2006). Cognitive-Affective Interactions in Human decision-Making: A Neurocomputational Approach. eScholarship (California Digital Library). 28(28).6 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.