Chris Kanich

18 papers and 311 indexed citations i.

About

Chris Kanich is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chris Kanich has authored 18 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Chris Kanich’s work include Spam and Phishing Detection (9 papers), Advanced Malware Detection Techniques (7 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Chris Kanich is often cited by papers focused on Spam and Phishing Detection (9 papers), Advanced Malware Detection Techniques (7 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Chris Kanich collaborates with scholars based in United States, Hungary and Pakistan. Chris Kanich's co-authors include Vern Paxson, Geoffrey M. Voelker, Kirill Levchenko, Stefan Savage, Márk Félegyházi, Peter Snyder, Cynthia Taylor, Christian Kreibich, Jonathan Spring and Zhou Li and has published in prestigious journals such as Communications of the ACM, Journal of Pediatric Nursing and Policy & Internet.

In The Last Decade

Co-authorship network of co-authors of Chris Kanich i

Fields of papers citing papers by Chris Kanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chris Kanich

Since Specialization
Citations

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