Chad Spensky

8 papers and 148 indexed citations i.

About

Chad Spensky is a scholar working on Signal Processing, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Chad Spensky has authored 8 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Chad Spensky’s work include Advanced Malware Detection Techniques (5 papers), Security and Verification in Computing (4 papers) and Privacy, Security, and Data Protection (2 papers). Chad Spensky is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), Security and Verification in Computing (4 papers) and Privacy, Security, and Data Protection (2 papers). Chad Spensky collaborates with scholars based in United States, Germany and Belgium. Chad Spensky's co-authors include Giovanni Vigna, Christopher Kruegel, Aravind Machiry, Ruoyu Wang, Andrea Continella, Yan Shoshitaishvili, Eric Gustafson, Dipanjan Das, Michael Franz and Arkady Yerukhimovich and has published in prestigious journals such as eScholarship (California Digital Library), USENIX Security Symposium and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Co-authorship network of co-authors of Chad Spensky i

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.

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).

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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2025