James Riely

19 papers and 339 indexed citations i.

About

James Riely is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, James Riely has authored 19 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Hardware and Architecture. Recurrent topics in James Riely’s work include Distributed systems and fault tolerance (10 papers), Logic, programming, and type systems (9 papers) and Parallel Computing and Optimization Techniques (8 papers). James Riely is often cited by papers focused on Distributed systems and fault tolerance (10 papers), Logic, programming, and type systems (9 papers) and Parallel Computing and Optimization Techniques (8 papers). James Riely collaborates with scholars based in United States, United Kingdom and Russia. James Riely's co-authors include Matthew Hennessy, Alan Jeffrey, Radha Jagadeesan, Corin Pitcher, Julian Rathke, Craig Disselkoen, Brijesh Dongol and Mark Batty and has published in prestigious journals such as Theoretical Computer Science, ACM Transactions on Programming Languages and Systems and Information and Computation.

In The Last Decade

Co-authorship network of co-authors of James Riely i

Fields of papers citing papers by James Riely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Riely

Since Specialization
Citations

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