William Eberle
Impact in
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
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- Network Security and Intrusion Detection
Papers in
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- Anomaly Detection Techniques and Applications 18
- Imbalanced Data Classification Techniques 8
- Machine Learning and Data Classification 6
- Adversarial Robustness in Machine Learning 5
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- Network Security and Intrusion Detection 27
- Co-authors
- Lawrence B. Holder (19 shared papers)Chih‐Fong Tsai (4 shared papers)Ambareen Siraj (2 shared papers)Vitaly Ford (1 shared paper)Deron Liang (1 shared paper)Sheikh Rabiul Islam (4 shared papers)Ingrid Russell (2 shared papers)Wei‐Chao Lin (2 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (2 papers)Applied Sciences (2 papers)Knowledge-Based Systems (1 paper)Machine Learning (1 paper)Journal of Systems and Software (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
William Eberle
59 papers receiving 963 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 578
- Computer Networks and Communications 349
- Statistical and Nonlinear Physics 157
- Signal Processing 139
- Information Systems 223
Countries citing papers authored by William Eberle
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).
Fields of papers citing papers by William Eberle
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.
Co-authors
The 25 scholars most cited alongside William Eberle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 191 | |
| 2 | 2014 | 114 | |
| 3 | 2010 | 89 | |
| 4 | 2007 | 86 | |
| 5 | 2007 | 61 | |
| 6 | 2017 | 53 | |
| 7 | 2019 | 30 | |
| 8 | 2016 | 27 | |
| 9 | 2009 | 24 | |
| 10 | 2015 | 24 | |
| 11 | 2024 | 21 | |
| 12 | 2009 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2022 | 19 | |
| 15 | Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference | 2015 | 18 |
| 16 | 2009 | 16 | |
| 17 | 2007 | 15 | |
| 18 | Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference | 2014 | 13 |
| 19 | 2009 | 13 | |
| 20 | 2014 | 11 |
About William Eberle
William Eberle is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (27 papers), Complex Network Analysis Techniques (21 papers), Anomaly Detection Techniques and Applications (18 papers), Data Mining Algorithms and Applications (9 papers), Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (6 papers), Smart Grid Security and Resilience (5 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Artificial Intelligence (578 citations), Computer Networks and Communications (349 citations), Statistical and Nonlinear Physics (157 citations), Signal Processing (139 citations) and Information Systems (223 citations). William Eberle has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Lawrence B. Holder, Chih‐Fong Tsai, Ambareen Siraj, Vitaly Ford, Deron Liang, Sheikh Rabiul Islam, Ingrid Russell, Wei‐Chao Lin, Diane J. Cook and Chih Fong Tsai. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Applied Sciences, Knowledge-Based Systems, Machine Learning and Journal of Systems and Software.
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.