Jeffrey S. Chavis

4 papers and 279 indexed citations i.

About

Jeffrey S. Chavis is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jeffrey S. Chavis has authored 4 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jeffrey S. Chavis’s work include Network Security and Intrusion Detection (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper) and Human Mobility and Location-Based Analysis (1 paper). Jeffrey S. Chavis is often cited by papers focused on Network Security and Intrusion Detection (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper) and Human Mobility and Location-Based Analysis (1 paper). Jeffrey S. Chavis collaborates with scholars based in United States. Jeffrey S. Chavis's co-authors include Daniel S. Berman, Anna L. Buczak, Cherita Corbett, Jeffrey S. Lin, Lanier Watkins, Erhan Guven, Antonio Dávila and Aviel D. Rubin and has published in prestigious journals such as Information, Procedia Computer Science and 2022 IEEE International Systems Conference (SysCon).

In The Last Decade

Co-authorship network of co-authors of Jeffrey S. Chavis i

Fields of papers citing papers by Jeffrey S. Chavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Chavis. 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 Jeffrey S. Chavis. The network helps show where Jeffrey S. Chavis may publish in the future.

Countries citing papers authored by Jeffrey S. Chavis

Since Specialization
Citations

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