Joel Reardon

49 total papers · 1.1k total citations
21 papers, 648 citations indexed

About

Joel Reardon is a scholar working on Sociology and Political Science, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Joel Reardon has authored 21 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 11 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Joel Reardon's work include Privacy, Security, and Data Protection (12 papers), Advanced Malware Detection Techniques (10 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Joel Reardon is often cited by papers focused on Privacy, Security, and Data Protection (12 papers), Advanced Malware Detection Techniques (10 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Joel Reardon collaborates with scholars based in Canada, United States and Spain. Joel Reardon's co-authors include David Basin, Srđjan Čapkun, Serge Egelman, Primal Wijesekera, Narseo Vallina-Rodríguez, Irwin Reyes, Amit Elazari Bar On, Ian Goldberg, David Wagner and Abbas Razaghpanah and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Security & Privacy and UWSpace (University of Waterloo).

In The Last Decade

Joel Reardon

19 papers receiving 627 citations

Author Peers

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

Author						Papers	Cites
Joel Reardon	331	278	255	231	191	21	648
Abbas Razaghpanah	217 0.7×	266 1.0×	237 0.9×	274 1.2×	222 1.2×	20	617
Primal Wijesekera	281 0.8×	213 0.8×	382 1.5×	280 1.2×	66 0.3×	30	649
Jonathan Mayer	292 0.9×	290 1.0×	401 1.6×	127 0.5×	71 0.4×	20	725
Acar Tamersoy	193 0.6×	281 1.0×	155 0.6×	124 0.5×	141 0.7×	26	692
Bin Liu	256 0.8×	176 0.6×	288 1.1×	277 1.2×	110 0.6×	16	594
Hazim Almuhimedi	380 1.1×	181 0.7×	368 1.4×	215 0.9×	88 0.5×	8	645
Budi Arief	368 1.1×	100 0.4×	160 0.6×	151 0.7×	137 0.7×	58	650
Tomaž Klobučar	237 0.7×	214 0.8×	132 0.5×	76 0.3×	165 0.9×	38	616
George Yee	321 1.0×	304 1.1×	267 1.0×	56 0.2×	260 1.4×	55	684
Martin Degeling	206 0.6×	246 0.9×	483 1.9×	62 0.3×	52 0.3×	24	723

Countries citing papers authored by Joel Reardon

Since Specialization

Citations

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

Fields of papers citing papers by Joel Reardon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Reardon

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Reardon. A scholar is included among the top collaborators of Joel Reardon 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 Joel Reardon. Joel Reardon 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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