Allen D. Householder

468 citations
9 papers · 183 indexed · h-index 6
Topics
Information and Cyber Security (6 papers)Advanced Malware Detection Techniques (5 papers)Software Reliability and Analysis Research (3 papers)
Journals
ComputerIEEE Security & PrivacyUSENIX Security Symposium
Partner nations
United States

In The Last Decade

Allen D. Householder

9 papers receiving 161 citations

Peers

Allen D. Householder
Comparison fields: 5 of 38
  • Information Systems 114
  • Computer Networks and Communications 100
  • Signal Processing 65
  • Artificial Intelligence 43
  • Software 23
Replace Hossein Fereidooni with:
Hossein Fereidooni Germany
Flavio Toffalini Singapore
Daoyuan Wu Hong Kong
Sigrid Gürgens Germany
Robert Krahn Germany
Mohamed Almorsy Australia
Carlos Serrão Portugal
Rafael R. Obelheiro Brazil
Adesina S. Sodiya Nigeria
Khaled Yagoub United States
Allen D. Householder relative to Hossein Fereidooni Germany Hossein Fereidooni's profile →
Citations per field
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Hossein Fereidooni · 1×
Citations per year

Countries citing papers authored by Allen D. Householder

Since Specialization
Citations

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

Fields of papers citing papers by Allen D. Householder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allen D. Householder. 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 Allen D. Householder. The network helps show where Allen D. Householder may publish in the future.

Co-authorship network of co-authors of Allen D. Householder

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2 4
3 23
4
Historical Analysis of Exploit Availability Timelines
7
5 16
6 50
7 14
8 2
9 65

About Allen D. Householder

Allen D. Householder is a scholar working on Software, Signal Processing and Information Systems, having authored 9 papers that have together received 183 indexed citations. Recurring topics across this work include Information and Cyber Security (6 papers), Advanced Malware Detection Techniques (5 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Software (23 citations), Signal Processing (65 citations) and Information Systems (114 citations). Allen D. Householder has collaborated with scholars based in United States. Frequent co-authors include Robin Ruefle, Audrey Dorofee, Jonathan Spring, Michael Murray, Christopher King, David H. Warren, Robert J. Ellison, John Hudak and Carol Woody. Their work appears in journals such as Computer, IEEE Security & Privacy and USENIX Security Symposium.

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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