Jonathan M. McCune

3.5k citations
43 papers · 2.0k indexed · 2 hit papers · h-index 24

Impact in

Papers in

Jonathan M. McCune

40 papers receiving 1.8k citations

Hit Papers

TrustVisor: Efficient TCB Reduction and Attestation 2010 · 360 citations
3602008202620142020100200300400

Peers

Jonathan M. McCune
Comparison fields: 5 of 41
  • Signal Processing 1.0k
  • Artificial Intelligence 1.6k
  • Information Systems 1.1k
  • Hardware and Architecture 336
  • Computer Networks and Communications 724
Replace Leendert van Doorn with:
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Jonathan M. McCune

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. McCune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jonathan M. McCune, 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 Jonathan M. McCune Line = papers co-authored together Jonathan M. McCune links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2 20180
3 20180
4 20180
5 20181
6 20181
7 20183
8
Usability Testing a Malware-Resistant Input Mechanism.
20116
9 20116
10
Proceedings of the 3rd international conference on Trust and trustworthy computing
20103
11 201023
12
Safe Passage for Passwords and Other Sensitive Data.
200941
13 200948
14 200874
15 20081
16 200827
17 20084
18 200844
19 200637
20 200436

About Jonathan M. McCune

Jonathan M. McCune is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Security and Verification in Computing (28 papers), Advanced Malware Detection Techniques (21 papers), Cloud Data Security Solutions (16 papers), User Authentication and Security Systems (11 papers), Distributed systems and fault tolerance (10 papers), Cryptography and Data Security (4 papers), Advanced Authentication Protocols Security (4 papers) and Access Control and Trust (3 papers). The work is most often cited by research in Signal Processing (1.0k citations), Artificial Intelligence (1.6k citations), Information Systems (1.1k citations), Hardware and Architecture (336 citations) and Computer Networks and Communications (724 citations). Jonathan M. McCune has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Adrian Perrig, Bryan Parno, Michael K. Reiter, Hiroshi Isozaki, Yanlin Li, Virgil D. Gligor, Anupam Datta, Zongwei Zhou, Ning Qu and Arvind Seshadri. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Mobile Computing, International Journal of Security and Networks, ACM SIGOPS Operating Systems Review and Lecture notes in computer science.

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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