John Boyland

1.6k citations
44 papers · 667 indexed · h-index 13

Impact in

Papers in

    • Model-Driven Software Engineering Techniques 8
    • Software Engineering Research 16
    • Service-Oriented Architecture and Web Services 10

John Boyland

41 papers receiving 605 citations

Peers

John Boyland
Comparison fields: 5 of 38
  • Software 149
  • Hardware and Architecture 133
  • Artificial Intelligence 560
  • Information Systems 288
  • Computational Theory and Mathematics 152
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Citations per field
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Citations per year

Countries citing papers authored by John Boyland

Since Specialization
Citations

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

Fields of papers citing papers by John Boyland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside John Boyland, 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 Boyland Line = papers co-authored together John Boyland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201016
2 20095
3 20093
4
Implementing permission analysis
20093
5
Concurrency analysis based on fractional permissions
20079
6 200711
7 200627
8 20051
9 20055
10 20051
11 20045
12 20025
13
Capabilities for Sharing -- A Generalisation of Uniqueness and Read-Only
200168
14 2001116
15
MayEqual: A New Alias Question
19992
16
Alias Killing: Unique Variables without Destructive Reads
19992
17 199711
18 199712
19
Descriptional Composition of Compiler Components
199622
20 199410

About John Boyland

John Boyland is a scholar working on Software, Information Systems, Artificial Intelligence, Hardware and Architecture and Management Information Systems, having authored 44 papers that have together received 667 indexed citations. Recurring topics across this work include Logic, programming, and type systems (21 papers), Software Engineering Research (16 papers), Advanced Software Engineering Methodologies (15 papers), Service-Oriented Architecture and Web Services (10 papers), Model-Driven Software Engineering Techniques (8 papers), Distributed systems and fault tolerance (8 papers), Security and Verification in Computing (7 papers) and Formal Methods in Verification (7 papers). The work is most often cited by research in Software (149 citations), Hardware and Architecture (133 citations), Artificial Intelligence (560 citations), Information Systems (288 citations) and Computational Theory and Mathematics (152 citations). John Boyland has collaborated with scholars based in United States, China and France. Frequent co-authors include Giuseppe Castagna, Tien N. Nguyen, Ethan V. Munson, James Noble, Matteo Cimini, Michael M. Vitousek, Jeremy G. Siek, Susan L. Graham, Manuel Fähndrich and Yang Zhao. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Software Practice and Experience, Journal of the ACM and Engineering Management Journal.

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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