John McHugh

3.9k citations
52 papers · 2.2k · 1 hit paper · h-index 19

Impact in

Papers in

John McHugh

47 papers receiving 1.9k citations

Hit Papers

Testing Intrusion detection systems 2000 · 903 citations
9030+8+17Years since publication250500750

Peers

John McHugh
Comparison fields: 5 of 84
  • Signal Processing 887
  • Computer Networks and Communications 1.6k
  • Artificial Intelligence 1.2k
  • Information Systems 646
  • Software 104
Replace Douglas S. Reeves with:
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Marc Daciér France
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Dengguo Feng China
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John McHugh relative to Douglas S. Reeves United States Douglas S. Reeves's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by John McHugh

Since Specialization
Citations

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

Fields of papers citing papers by John McHugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John McHugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John McHugh Line = papers co-authored together John McHugh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Testing Intrusion detection systems
Hit paper breakdown →
2000903
2 2000177
3 2000161
4 2001127
5 2009101
6 200384
7 200281
8
Survivable Network Analysis Method
200041
9 198738
10
A Human Capital Model for Mitigating Security Analyst Burnout
201537
11 200937
12 200834
13
Turning Contradictions into Innovations or: How We Learned to Stop Whining and Improve Security Operations
201630
14 198625
15 201421
16 198621
17 199319
18 200918
19 200618
20 200816

About John McHugh

John McHugh is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Sociology and Political Science, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (16 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Information and Cyber Security (12 papers), Security and Verification in Computing (9 papers), Software Reliability and Analysis Research (5 papers), Access Control and Trust (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Signal Processing (887 citations), Computer Networks and Communications (1.6k citations), Artificial Intelligence (1.2k citations), Information Systems (646 citations) and Software (104 citations). John McHugh has collaborated with scholars based in United States, Canada and India. Frequent co-authors include William A. Arbaugh, Alan M. Christie, Julia Allen, Janusz Konrad, Venkatesh Saligrama, Pierre‐Marc Jodoin, William D. Young, Michael Wesch, S. Raj Rajagopalan and Carrie Gates. Their work appears in journals such as IEEE Internet Computing, International Journal of Information Security, IEEE Signal Processing Letters, IEEE Software and Journal of Computer Security.

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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