Graham Kirby
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Software top 10%
- Hardware and Architecture
- Co-authors
- Ron MorrisonAlan DearleDharini BalasubramaniamBrian WarboysDavid StempleRichard ConnorQuintin CuttsR. Mark Greenwood
- Topics
- Advanced Software Engineering Methodologies (17 papers)Distributed systems and fault tolerance (12 papers)Logic, programming, and type systems (11 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Graham Kirby
40 papers receiving 177 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 141
- Computer Networks and Communications 130
- Information Systems 101
- Software 22
- Hardware and Architecture 20
Countries citing papers authored by Graham Kirby
This map shows the geographic impact of Graham Kirby'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 Graham Kirby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham Kirby more than expected).
Fields of papers citing papers by Graham Kirby
This network shows the impact of papers produced by Graham Kirby. 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 Graham Kirby. The network helps show where Graham Kirby may publish in the future.
Co-authorship network of co-authors of Graham Kirby
This figure shows the co-authorship network connecting the top 25 collaborators of Graham Kirby. A scholar is included among the top collaborators of Graham Kirby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graham Kirby. Graham Kirby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Access to Higher Education for Scottish rural communities : an exploratory analysis | 1 |
| 4 | Comparing relational and graph databases for pedigree data sets | 2 |
| 5 | 1 | |
| 6 | 0 | |
| 7 | Using the Flask Architecture to Build Distributed Applications | 0 |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | System Evolution, Feedback and Compliant Architectures | 1 |
| 13 | Variadic Genericity Through Linguistic Reflection: A Performance Evaluation | 2 |
| 14 | Hyper-Programming in Java | 3 |
| 15 | A persistent view of encapsulation | 2 |
| 16 | 8 | |
| 17 | 2 | |
| 18 | Using Reflection to Support Type-Safe Evolution in Persistent Systems | 4 |
| 19 | 16 | |
| 20 | 6 |
About Graham Kirby
Graham Kirby is a scholar working on Software, Computer Networks and Communications and Artificial Intelligence, having authored 44 papers that have together received 211 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (17 papers), Distributed systems and fault tolerance (12 papers) and Logic, programming, and type systems (11 papers). The work is most often cited by research in Software (22 citations), Computer Networks and Communications (130 citations) and Information Systems (101 citations). Graham Kirby has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Ron Morrison, Alan Dearle, Dharini Balasubramaniam, Brian Warboys, David Stemple, Richard Connor, Quintin Cutts, R. Mark Greenwood, Ronald Morrison and Markus Tauber. Their work appears in journals such as PLoS ONE, IEEE Software 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.