William Eberle

34 papers and 408 indexed citations i.

About

William Eberle is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, William Eberle has authored 34 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in William Eberle’s work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Complex Network Analysis Techniques (9 papers). William Eberle is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Complex Network Analysis Techniques (9 papers). William Eberle collaborates with scholars based in United States, Taiwan and Saudi Arabia. William Eberle's co-authors include Chih‐Fong Tsai, Lawrence B. Holder, Deron Liang, Wei‐Chao Lin, Min‐Wei Huang, Chih Fong Tsai, Ramesh Paudel, Ambareen Siraj, Neal Lerner and John Karro and has published in prestigious journals such as Machine Learning, Knowledge-Based Systems and Energies.

In The Last Decade

Co-authorship network of co-authors of William Eberle i

Fields of papers citing papers by William Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Eberle

Since Specialization
Citations

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