J. S. Riordon

32 total papers · 432 total citations
28 papers, 314 citations indexed

About

J. S. Riordon is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, J. S. Riordon has authored 28 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 9 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in J. S. Riordon's work include Advanced Database Systems and Queries (12 papers), Distributed systems and fault tolerance (10 papers) and Data Management and Algorithms (8 papers). J. S. Riordon is often cited by papers focused on Advanced Database Systems and Queries (12 papers), Distributed systems and fault tolerance (10 papers) and Data Management and Algorithms (8 papers). J. S. Riordon collaborates with scholars based in Canada and Egypt. J. S. Riordon's co-authors include Safwat A. Mahmoud, Peter Bodorik, B. Pagurek, Wai-Yip Chan, S. Mahmoud, Christian Jacob, Christopher Nguyen, Dawn Jutla and Richard Price and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Journal on Selected Areas in Communications.

In The Last Decade

J. S. Riordon

25 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. S. Riordon 234 70 60 58 27 28 314
Yuqing Zhai 234 1.0× 56 0.8× 143 2.4× 45 0.8× 20 0.7× 23 359
Dongsheng Yang 223 1.0× 89 1.3× 160 2.7× 58 1.0× 27 1.0× 38 363
Mary E. S. Loomis 228 1.0× 40 0.6× 94 1.6× 83 1.4× 21 0.8× 26 316
Philipp Reinecke 139 0.6× 42 0.6× 54 0.9× 106 1.8× 23 0.9× 32 245
Pedro Barahona 98 0.4× 33 0.5× 133 2.2× 20 0.3× 17 0.6× 43 335
Norbert Tihanyi 175 0.7× 82 1.2× 129 2.1× 100 1.7× 29 1.1× 29 350
Brian Larson 103 0.4× 48 0.7× 96 1.6× 98 1.7× 20 0.7× 17 287
T. Johnson 303 1.3× 101 1.4× 101 1.7× 78 1.3× 11 0.4× 31 354
J. E. Muñoz Expósito 174 0.7× 32 0.5× 127 2.1× 121 2.1× 30 1.1× 33 357
Evan A. Sultanik 181 0.8× 77 1.1× 62 1.0× 25 0.4× 9 0.3× 29 242

Countries citing papers authored by J. S. Riordon

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Riordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Riordon. 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 J. S. Riordon. The network helps show where J. S. Riordon may publish in the future.

Co-authorship network of co-authors of J. S. Riordon

This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Riordon. A scholar is included among the top collaborators of J. S. Riordon 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 J. S. Riordon. J. S. Riordon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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