Chad Spensky

20 total papers · 616 total citations
17 papers, 372 citations indexed

About

Chad Spensky is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chad Spensky has authored 17 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Chad Spensky's work include Advanced Malware Detection Techniques (11 papers), Security and Verification in Computing (9 papers) and Software Testing and Debugging Techniques (4 papers). Chad Spensky is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Security and Verification in Computing (9 papers) and Software Testing and Debugging Techniques (4 papers). Chad Spensky collaborates with scholars based in United States, Germany and France. Chad Spensky's co-authors include Christopher Kruegel, Giovanni Vigna, Aravind Machiry, Ruoyu Wang, Kevin Leach, Yung Ryn Choe, Eric Gustafson, Andrea Continella, Yan Shoshitaishvili and Stijn Volckaert and has published in prestigious journals such as SHILAP Revista de lepidopterología, USENIX Security Symposium and eScholarship (California Digital Library).

In The Last Decade

Chad Spensky

17 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Chad Spensky 261 234 137 116 104 17 372
Tommaso Frassetto 210 0.8× 253 1.1× 168 1.2× 97 0.8× 125 1.2× 17 445
Patrick Jauernig 123 0.5× 201 0.9× 181 1.3× 95 0.8× 79 0.8× 12 334
Joeri de Ruiter 138 0.5× 216 0.9× 131 1.0× 170 1.5× 166 1.6× 21 410
Jiongyi Chen 272 1.0× 146 0.6× 160 1.2× 111 1.0× 161 1.5× 21 403
Nathan Burow 257 1.0× 320 1.4× 110 0.8× 69 0.6× 105 1.0× 17 423
JongHyup Lee 175 0.7× 145 0.6× 158 1.2× 81 0.7× 146 1.4× 17 356
Marius Muench 230 0.9× 192 0.8× 73 0.5× 140 1.2× 86 0.8× 12 358
Haehyun Cho 225 0.9× 181 0.8× 204 1.5× 41 0.4× 141 1.4× 32 346
Stijn Volckaert 264 1.0× 333 1.4× 116 0.8× 80 0.7× 154 1.5× 24 426
Antoine Delignat-Lavaud 120 0.5× 286 1.2× 200 1.5× 45 0.4× 179 1.7× 18 405

Countries citing papers authored by Chad Spensky

Since Specialization
Citations

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

Fields of papers citing papers by Chad Spensky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Spensky

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