Lee Pike

855 citations
32 papers · 267 · h-index 11

Impact in

Papers in

Lee Pike

30 papers receiving 231 citations

Peers

Lee Pike
Comparison fields: 5 of 30
  • Software 70
  • Hardware and Architecture 84
  • Computational Theory and Mathematics 105
  • Artificial Intelligence 117
  • Safety, Risk, Reliability and Quality 31
Replace Gidon Ernst with:
Gidon Ernst Germany
Claudio Menghi Italy
Pierre Bieber France
Sabine Glesner Germany
Jörg Bräuer Germany
Bardh Hoxha United States
Daniel Balasubramanian United States
Shakiba Yaghoubi United States
Eun-Young Kang Denmark
Ihor Kuz Australia
Lee Pike relative to Gidon Ernst Germany Gidon Ernst's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lee Pike

Since Specialization
Citations

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

Fields of papers citing papers by Lee Pike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monitoring Distributed Real-Time Systems: A Survey and Future Directions
201044
2 201322
3 201820
4 201418
5 200615
6 201515
7 200713
8 200513
9 200613
10 201712
11
Secure mathematically-assured composition of control models
201710
12 20169
13 20148
14 20147
15 20216
16
Formal verification of time-triggered systems
20065
17 20155
18 20145
19 20165
20 20124

About Lee Pike

Lee Pike is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Software, having authored 32 papers that have together received 267 indexed citations. Recurring topics across this work include Formal Methods in Verification (17 papers), Distributed systems and fault tolerance (11 papers), Logic, programming, and type systems (10 papers), Security and Verification in Computing (8 papers), Real-Time Systems Scheduling (7 papers), Software Testing and Debugging Techniques (7 papers), Advanced Malware Detection Techniques (6 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Software (70 citations), Hardware and Architecture (84 citations), Computational Theory and Mathematics (105 citations), Artificial Intelligence (117 citations) and Safety, Risk, Reliability and Quality (31 citations). Lee Pike has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Alwyn E. Goodloe, Steven Johnson, Patrick C. Hickey, John Launchbury, Mark Shields, John Matthews, Darren Cofer, June Andronick, Christian Wietfeld and Gerwin Klein. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Information and System Security, IEEE Transactions on Software Engineering, IEEE Software and IEEE Communications Magazine.

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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