Justin M. Beaver

721 total citations
26 papers, 494 citations indexed

About

Justin M. Beaver is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Justin M. Beaver has authored 26 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Justin M. Beaver's work include Network Security and Intrusion Detection (8 papers), Complex Network Analysis Techniques (5 papers) and Data Visualization and Analytics (5 papers). Justin M. Beaver is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Complex Network Analysis Techniques (5 papers) and Data Visualization and Analytics (5 papers). Justin M. Beaver collaborates with scholars based in United States. Justin M. Beaver's co-authors include Mark A. Buckner, Raymond Borges Hink, Shengyi Pan, Uttam Adhikari, Guy A. Schiavone, Christopher T. Symons, Thomas E. Potok, Xiaohui Cui, Chad A. Steed and Robert M. Patton and has published in prestigious journals such as OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), International Conference on Information Fusion and ACM SIGSOFT Software Engineering Notes.

In The Last Decade

Justin M. Beaver

25 papers receiving 471 citations

Peers

Justin M. Beaver
Antonios Gouglidis United Kingdom
Ronald L. Krutz United States
Vivek Shandilya United States
Manuel Cheminod Italy
Ingmar Baumgart Germany
Jiqiang Liu China
Gabi Dreo Rodosek Germany
Weizhong Qiang China
Antonios Gouglidis United Kingdom
Justin M. Beaver
Citations per year, relative to Justin M. Beaver Justin M. Beaver (= 1×) peers Antonios Gouglidis

Countries citing papers authored by Justin M. Beaver

Since Specialization
Citations

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

Fields of papers citing papers by Justin M. Beaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin M. Beaver. 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 Justin M. Beaver. The network helps show where Justin M. Beaver may publish in the future.

Co-authorship network of co-authors of Justin M. Beaver

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

All Works

20 of 20 papers shown
1.
Bridges, Robert A., et al.. (2023). Beyond the Hype: An Evaluation of Commercially Available Machine Learning–based Malware Detectors. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(2). 1–22. 1 indexed citations
2.
Bridges, Robert A., et al.. (2023). AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1620–1629.
3.
Steed, Chad A., et al.. (2015). Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems. 4 indexed citations
4.
Beaver, Justin M., Raymond Borges Hink, & Mark A. Buckner. (2013). An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications. 54–59. 126 indexed citations
5.
Symons, Christopher T. & Justin M. Beaver. (2012). Nonparametric semi-supervised learning for network intrusion detection. 49–58. 17 indexed citations
6.
Beaver, Justin M., et al.. (2011). Host-Based Data Exfiltration Detection via System Call Sequences. 38(1). 50–3. 10 indexed citations
7.
Cui, Xiaohui, et al.. (2011). Visual Mining Intrusion Behaviors by Using Swarm Technology. 24. 1–7. 2 indexed citations
8.
Patton, Robert M., et al.. (2011). Hierarchical clustering and visualization of aggregate cyber data. 1287–1291. 7 indexed citations
9.
Patton, Robert M., Justin M. Beaver, & Thomas E. Potok. (2011). Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. 10. 1–5. 1 indexed citations
10.
Beaver, Justin M., et al.. (2011). Visualization techniques for computer network defense. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8019. 801906–801906. 7 indexed citations
11.
Beaver, Justin M., Robert M. Patton, & Thomas E. Potok. (2011). An approach to the automated determination of host information value. 92–99. 4 indexed citations
12.
Cui, Xiaohui, Justin M. Beaver, & Thomas E. Potok. (2010). Swarm-Based Knowledge Discovery for Intrusion Behavior Discovering. 270–275. 2 indexed citations
13.
14.
Cui, Xiaohui, et al.. (2010). The Swarm Model in Open Source Software Developer Communities. 60. 656–660. 2 indexed citations
15.
Beaver, Justin M., et al.. (2009). An information fusion framework for threat assessment. International Conference on Information Fusion. 1903–1910. 12 indexed citations
16.
Beaver, Justin M., et al.. (2009). Modeling success in FLOSS project groups. 1–8. 5 indexed citations
17.
Cui, Xiaohui, et al.. (2008). Dimensionality reduction particle swarm algorithm for high dimensional clustering. 1–6. 7 indexed citations
18.
Beaver, Justin M., et al.. (2006). Predicting Software Suitability Using a Bayesian Belief Network. NASA STI Repository (National Aeronautics and Space Administration). 82–88. 9 indexed citations
19.
Schiavone, Guy A. & Justin M. Beaver. (2006). A life cycle software quality model using bayesian belief networks. 4 indexed citations
20.
Beaver, Justin M. & Guy A. Schiavone. (2003). Spatial Data Analysis as a Software Quality Modeling Technique.. Software Engineering and Knowledge Engineering. 74–77. 1 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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