Sang Kil

25 papers and 975 indexed citations i.

About

Sang Kil is a scholar working on Signal Processing, Software and Information Systems. According to data from OpenAlex, Sang Kil has authored 25 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 16 papers in Software and 8 papers in Information Systems. Recurrent topics in Sang Kil’s work include Advanced Malware Detection Techniques (17 papers), Software Testing and Debugging Techniques (16 papers) and Software Engineering Research (7 papers). Sang Kil is often cited by papers focused on Advanced Malware Detection Techniques (17 papers), Software Testing and Debugging Techniques (16 papers) and Software Engineering Research (7 papers). Sang Kil collaborates with scholars based in South Korea, United States and Canada. Sang Kil's co-authors include David Brumley, Thanassis Avgerinos, Maverick Woo, Hyung-Seok Han, Edward J. Schwartz, Manuel Egele, Valentin J. M. Manès, Gustavo Grieco, Alex Groce and David S. Warren and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Computers & Security.

In The Last Decade

Co-authorship network of co-authors of Sang Kil i

Fields of papers citing papers by Sang Kil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sang Kil

Since Specialization
Citations

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