Citations per year, relative to Nicholas D. Duran Nicholas D. Duran (= 1×)
peers
Monica Bucciarelli
Countries citing papers authored by Nicholas D. Duran
Since
Specialization
Citations
This map shows the geographic impact of Nicholas D. Duran'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 Nicholas D. Duran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas D. Duran more than expected).
Fields of papers citing papers by Nicholas D. Duran
This network shows the impact of papers produced by Nicholas D. Duran. 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 Nicholas D. Duran. The network helps show where Nicholas D. Duran may publish in the future.
Co-authorship network of co-authors of Nicholas D. Duran
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas D. Duran.
A scholar is included among the top collaborators of Nicholas D. Duran 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 Nicholas D. Duran. Nicholas D. Duran is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stewart, Angela, Hana Vrzáková, Chen Sun, et al.. (2019). I Say, You Say, We Say: Using Spoken Language to Model Socio-Cognitive Processes during Computer-Supported Collaborative Problem Solving.. Grantee Submission.2 indexed citations
Duran, Nicholas D., et al.. (2013). Scales of Cognition Evident in Action. Cognitive Science. 35(35).2 indexed citations
9.
Dale, Rick, et al.. (2013). Is Dishonesty an Automatic Tendency. Cognitive Science.
10.
McCarthy, Philip M., et al.. (2012). The Devil Is in the Details: New Directions in Deception Analysis.. The Florida AI Research Society. 188–195.2 indexed citations
11.
Duran, Nicholas D. & Rick Dale. (2012). Increased Vigilance in Monitoring Others’ Mental States During Deception. Cognitive Science. 34(34).2 indexed citations
12.
Duran, Nicholas D. & Rick Dale. (2011). Spatial Cognition Adapts to Social Context. Cognitive Science. 33(33).2 indexed citations
13.
Jeuniaux, Patrick, et al.. (2010). A Text Relatedness and Dependency Computational Model. 8. 85–125.4 indexed citations
14.
Dale, Rick & Nicholas D. Duran. (2009). Predictive Arm Placement in the Statistical Learning of Position Sequences. eScholarship (California Digital Library). 31(31).3 indexed citations
15.
Duran, Nicholas D., Scott A. Crossley, Charles Hall, Philip M. McCarthy, & Danielle S. McNamara. (2009). Expanding a catalogue of deceptive linguistic features with NLP technologies. The Florida AI Research Society. 243–248.2 indexed citations
16.
Jeuniaux, Patrick, et al.. (2007). Towards a Textual Cohesion Model that Predicts Self-Explanations Inference Generation as a Function of Text Structure and Readers' Knowledge Levels. eScholarship (California Digital Library). 29(29).1 indexed citations
17.
Willits, Jon, Sidney K. D’Mello, Nicholas D. Duran, & Andrew M. Olney. (2007). Distributional Statistics and Thematic Role Relationships. eScholarship (California Digital Library). 29(29).11 indexed citations
18.
Duran, Nicholas D., et al.. (2007). Quantifying Text Difficulty with Automated Indices of Cohesion and Semantics. eScholarship (California Digital Library). 29(29).19 indexed citations
Duran, Nicholas D., Arthur C. Graesser, Philip M. McCarthy, & Danielle S. McNamara. (2006). Using Coh-Metrix Temporal Indices to Predict Psychological Measures of Time. eScholarship (California Digital Library). 28(28).8 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.