John McLean

1.9k citations
40 papers · 1.4k · h-index 14

Impact in

Papers in

John McLean

36 papers receiving 1.2k citations

Peers

John McLean
Comparison fields: 5 of 49
  • Signal Processing 537
  • Artificial Intelligence 1.2k
  • Software 108
  • Computer Networks and Communications 499
  • Information Systems 475
Replace Heiko Mantel with:
Heiko Mantel Germany
Jonathan K. Millen United States
Drew Dean United States
Michele Bugliesi Italy
Steve Bellovin United States
David A. Naumann United States
Paul A. Karger United States
Shamim A. Naqvi United States
Toby Murray Australia
Iliano Cervesato United States
John McLean relative to Heiko Mantel Germany Heiko Mantel's profile →
Citations per field
00.5×1.5×
Heiko Mantel · 1×
Citations per year

Countries citing papers authored by John McLean

Since Specialization
Citations

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

Fields of papers citing papers by John McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside John McLean, 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 McLean Line = papers co-authored together John McLean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990220
2 2002211
3 1984132
4 1996119
5 199091
6 198577
7 199275
8 198772
9 198868
10 200661
11 200853
12 198449
13 198335
14 200535
15 200512
16 200212
17 200211
18 198410
19 20066
20
Executing Trace Specifications Using Prolog.
19865

About John McLean

John McLean is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Security and Verification in Computing (20 papers), Advanced Malware Detection Techniques (13 papers), Information and Cyber Security (8 papers), Formal Methods in Verification (8 papers), Access Control and Trust (7 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Research (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Signal Processing (537 citations), Artificial Intelligence (1.2k citations), Software (108 citations), Computer Networks and Communications (499 citations) and Information Systems (475 citations). John McLean has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Constance Heitmeyer, Carl E. Landwehr, Myla Archer, Jonathan K. Millen, Virgil D. Gligor, Peter Y. A. Ryan, James W. Gray, Catherine Meadows, David M. Weiss and Heinz Erzberger. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Aircraft, Journal of the ACM, SAE technical papers on CD-ROM/SAE technical paper series and ACM Transactions on Computer Systems.

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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