Justin M. Beaver

721 citations
26 papers · 494 indexed · h-index 9
Topics
Network Security and Intrusion Detection (8 papers)Complex Network Analysis Techniques (5 papers)Data Visualization and Analytics (5 papers)
Journals
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)International Conference on Information FusionACM SIGSOFT Software Engineering Notes
Partner nations
United States

In The Last Decade

Justin M. Beaver

25 papers receiving 471 citations

Peers

Justin M. Beaver
Comparison fields: 5 of 49
  • Computer Networks and Communications 332
  • Control and Systems Engineering 264
  • Artificial Intelligence 260
  • Signal Processing 117
  • Information Systems 97
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Citations per field
00.5×3.0×
Antonios Gouglidis · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3
Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems
4
4 126
5 17
6
Host-Based Data Exfiltration Detection via System Call Sequences
10
7 2
8 7
9 1
10 7
11 4
12 2
13 2
14 2
15
An information fusion framework for threat assessment
12
16 5
17 7
18 9
19
A life cycle software quality model using bayesian belief networks
4
20
Spatial Data Analysis as a Software Quality Modeling Technique.
1

About Justin M. Beaver

Justin M. Beaver is a scholar working on Software, Signal Processing and Computer Science Applications, having authored 26 papers that have together received 494 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Complex Network Analysis Techniques (5 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Computer Networks and Communications (332 citations), Control and Systems Engineering (264 citations) and Signal Processing (117 citations). Justin M. Beaver has collaborated with scholars based in United States. Frequent 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. Their work appears in 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.

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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