Charles Smutz

409 total citations
6 papers, 238 citations indexed

About

Charles Smutz is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Charles Smutz has authored 6 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Charles Smutz's work include Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Charles Smutz is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Charles Smutz collaborates with scholars based in United States and South Sudan. Charles Smutz's co-authors include Angelos Stavrou, Elizabeth A. Morris and Mallory Stites and has published in prestigious journals such as OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Charles Smutz

5 papers receiving 219 citations

Peers

Charles Smutz
Mariano Graziano France
Salman Niksefat Iran
Jagsir Singh India
Corrado Leita France
Weijie Han China
Tianning Zang China
Daiki Chiba Japan
Paria Shirani Canada
Mikhail Trofimov Russia
Frédéric Massicotte Canada
Mariano Graziano France
Charles Smutz
Citations per year, relative to Charles Smutz Charles Smutz (= 1×) peers Mariano Graziano

Countries citing papers authored by Charles Smutz

Since Specialization
Citations

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

Fields of papers citing papers by Charles Smutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Smutz

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Smutz. A scholar is included among the top collaborators of Charles Smutz 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 Charles Smutz. Charles Smutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Smutz, Charles, et al.. (2023). Automatic Malware Signature Generation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
2.
Morris, Elizabeth A., et al.. (2022). Explainable AI in Cybersecurity Operations: Lessons Learned from xAI Tool Deployment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
3.
Morris, Elizabeth A., et al.. (2021). Considerations for Deploying xAI Tools in the Wild: Lessons Learned from xAI Deployment in a Cybersecurity Operations Setting.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
4.
Stites, Mallory, et al.. (2021). Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
5.
6.
Smutz, Charles & Angelos Stavrou. (2012). Malicious PDF detection using metadata and structural features. 239–248. 167 indexed citations

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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Rankless by CCL
2026