James Riely

1.7k citations
28 papers · 598 · h-index 13

Impact in

Papers in

James Riely

28 papers receiving 552 citations

Peers

James Riely
Comparison fields: 5 of 31
  • Hardware and Architecture 135
  • Computer Networks and Communications 360
  • Artificial Intelligence 472
  • Computational Theory and Mathematics 117
  • Signal Processing 74
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Citations per field
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Citations per year

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).

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.

Co-authors

The 12 scholars most cited alongside James Riely, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Riely Line = papers co-authored together James Riely links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002125
2 199854
3 199949
4 199847
5 200244
6 200743
7 200132
8 201631
9
Information Flow vs. Resource Access in the Asynchronous Pi-Calculus
200024
10 200624
11 201119
12 202014
13 201914
14 200710
15 20159
16 20198
17 20078
18 20227
19 20037
20
TAPIDO: trust and authorization via provenance and integrity in distributed objects
20086

About James Riely

James Riely is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Sociology and Political Science, having authored 28 papers that have together received 598 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (15 papers), Logic, programming, and type systems (14 papers), Parallel Computing and Optimization Techniques (11 papers), Security and Verification in Computing (9 papers), Advanced Software Engineering Methodologies (4 papers), Access Control and Trust (3 papers), Software Engineering Research (3 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (135 citations), Computer Networks and Communications (360 citations), Artificial Intelligence (472 citations), Computational Theory and Mathematics (117 citations) and Signal Processing (74 citations). James Riely has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Matthew Hennessy, Radha Jagadeesan, Alan Jeffrey, Corin Pitcher, Ehab Al‐Shaer, Bin Zhang, Julian Rathke, Craig Disselkoen, Brijesh Dongol and Mark Batty. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Logical Methods in Computer Science, Science of Computer Programming, Theoretical Computer Science and Journal of Automated Reasoning.

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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