William Mahoney

929 total citations
53 papers, 559 citations indexed

About

William Mahoney is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, William Mahoney has authored 53 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Information Systems and 18 papers in Signal Processing. Recurrent topics in William Mahoney's work include Advanced Malware Detection Techniques (18 papers), Network Security and Intrusion Detection (8 papers) and Security and Verification in Computing (8 papers). William Mahoney is often cited by papers focused on Advanced Malware Detection Techniques (18 papers), Network Security and Intrusion Detection (8 papers) and Security and Verification in Computing (8 papers). William Mahoney collaborates with scholars based in United States, United Kingdom and Canada. William Mahoney's co-authors include Robin Gandhi, Yesong Gu, Keshav K. Singh, A-Lien Lu, Suk‐Hee Lee, Antony R. Parker, Qiuming Zhu, Anup Sharma, Phillip A. Laplante and Petr Heřman and has published in prestigious journals such as Journal of Biological Chemistry, The Astrophysical Journal and Journal of Autism and Developmental Disorders.

In The Last Decade

William Mahoney

42 papers receiving 534 citations

Peers

William Mahoney
Comparison fields: 5 of 107
  • Molecular Biology 213
  • Information Systems 139
  • Computer Networks and Communications 88
  • Signal Processing 81
  • Pathology and Forensic Medicine 61
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Michael Fuller United States View profile →
Citations per field, relative to William Mahoney
William Mahoney · 1×
Citations per year, relative to William Mahoney
William Mahoney · 1×

Countries citing papers authored by William Mahoney

Since Specialization
Citations

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

Fields of papers citing papers by William Mahoney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Mahoney

This figure shows the co-authorship network connecting the top 25 collaborators of William Mahoney. A scholar is included among the top collaborators of William Mahoney 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 William Mahoney. William Mahoney 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
# Work Indexed citations
1 1
2 1
3 0
4 0
5 3
6 4
7 5
8 18
9 8
10 4
11 1
12 0
13
Optimal Values for Disrupting x86-64 Reverse Assemblers
2
14 0
15 4
16
IDEA: A new intrusion detection data source
1
17
Collecting Open Source Intelligence via Tailored Information Delivery Systems
0
18 86
19 189
20 15

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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