James Q. Smith

15 papers and 548 indexed citations i.

About

James Q. Smith is a scholar working on Artificial Intelligence, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, James Q. Smith has authored 15 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Cognitive Neuroscience. Recurrent topics in James Q. Smith’s work include Bayesian Modeling and Causal Inference (7 papers), Bayesian Methods and Mixture Models (2 papers) and Functional Brain Connectivity Studies (2 papers). James Q. Smith is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Bayesian Methods and Mixture Models (2 papers) and Functional Brain Connectivity Studies (2 papers). James Q. Smith collaborates with scholars based in United Kingdom, Brazil and Canada. James Q. Smith's co-authors include Robert M. Oliver, Paul Goodwin, Andrew J. Millar, Paul E. Anderson, Neeraj Salathia, Kieron D. Edwards, Anthony Hall, James Locke, Martin Straume and James R. Lynn and has published in prestigious journals such as The Plant Cell, Technometrics and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of James Q. Smith i

Fields of papers citing papers by James Q. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Q. Smith. 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 James Q. Smith. The network helps show where James Q. Smith may publish in the future.

Countries citing papers authored by James Q. Smith

Since Specialization
Citations

This map shows the geographic impact of James Q. Smith'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 James Q. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Q. Smith more than expected).

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.

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