Jon Whittle

7.4k total citations
172 papers, 3.7k citations indexed

About

Jon Whittle is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Jon Whittle has authored 172 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Information Systems, 81 papers in Artificial Intelligence and 44 papers in Software. Recurrent topics in Jon Whittle's work include Advanced Software Engineering Methodologies (50 papers), Software Engineering Research (37 papers) and Software Engineering Techniques and Practices (35 papers). Jon Whittle is often cited by papers focused on Advanced Software Engineering Methodologies (50 papers), Software Engineering Research (37 papers) and Software Engineering Techniques and Practices (35 papers). Jon Whittle collaborates with scholars based in United Kingdom, Australia and United States. Jon Whittle's co-authors include Mark Rouncefield, John Hutchinson, Johann Schumann, Maria Angela Ferrario, Pete Sawyer, Nelly Bencomo, Betty H. C. Cheng, Jean‐Michel Bruel, Will Simm and Steinar Kristoffersen and has published in prestigious journals such as Communications of the ACM, IEEE Access and ACM Computing Surveys.

In The Last Decade

Jon Whittle

161 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon Whittle United Kingdom 30 1.9k 1.8k 1.3k 636 357 172 3.7k
Robert DeLine United States 32 2.8k 1.5× 2.4k 1.3× 938 0.7× 1.3k 2.0× 324 0.9× 74 5.0k
Bashar Nuseibeh United Kingdom 40 4.5k 2.3× 3.5k 1.9× 1.5k 1.2× 1.0k 1.6× 253 0.7× 266 6.4k
Larry L. Constantine United States 21 1.9k 1.0× 1.1k 0.6× 717 0.5× 408 0.6× 578 1.6× 88 4.1k
Anders Wesslén Sweden 9 3.8k 2.0× 1.5k 0.8× 1.6k 1.2× 1.0k 1.6× 249 0.7× 11 5.1k
Henry Lieberman United States 35 2.2k 1.1× 3.2k 1.7× 877 0.7× 1.2k 2.0× 699 2.0× 169 6.5k
Magnus C. Ohlsson Sweden 12 3.8k 2.0× 1.5k 0.8× 1.7k 1.3× 1.1k 1.7× 244 0.7× 17 5.2k
Neil Maiden United Kingdom 28 2.3k 1.2× 1.7k 0.9× 515 0.4× 323 0.5× 395 1.1× 159 3.7k
Alexander Serebrenik Netherlands 43 3.8k 2.0× 1.4k 0.7× 1.2k 0.9× 887 1.4× 101 0.3× 236 5.4k
Martha E. Pollack United States 33 513 0.3× 2.9k 1.6× 624 0.5× 964 1.5× 180 0.5× 114 5.0k
William Swartout United States 31 1.0k 0.5× 2.9k 1.6× 243 0.2× 450 0.7× 269 0.8× 69 4.3k

Countries citing papers authored by Jon Whittle

Since Specialization
Citations

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

Fields of papers citing papers by Jon Whittle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Whittle

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Whittle. A scholar is included among the top collaborators of Jon Whittle 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 Jon Whittle. Jon Whittle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Qinghua, Liming Zhu, Xiwei Xu, et al.. (2024). Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents. 119–126. 3 indexed citations
2.
Lu, Qinghua, Liming Zhu, Xiwei Xu, Zhenchang Xing, & Jon Whittle. (2024). Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems. IEEE Software. 41(6). 91–100. 7 indexed citations
3.
Liu, Yue, Sin Kit Lo, Qinghua Lu, et al.. (2024). Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents. Journal of Systems and Software. 220. 112278–112278. 7 indexed citations
4.
Sanderson, Conrad, David Douglas, Qinghua Lu, et al.. (2023). AI Ethics Principles in Practice: Perspectives of Designers and Developers. Griffith Research Online (Griffith University, Queensland, Australia). 4(2). 171–187. 42 indexed citations
5.
Hussain, Waqar, Xin Xia, John Grundy, et al.. (2021). A first look at human values-violation in app reviews. University of Oulu Repository (University of Oulu). 24 indexed citations
6.
Simm, Will, Richard Bassett, Maria Angela Ferrario, et al.. (2018). SE in ES. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 61–70. 11 indexed citations
7.
Werner, Cláudia & Jon Whittle. (2017). Proceedings of the 39th International Conference on Software Engineering: Software Engineering and Education Track. International Conference on Software Engineering. 6 indexed citations
8.
Lee, Jaejoon, Gerald Kotonya, Jon Whittle, & Christopher Bull. (2015). Software design studio: a practical example. International Conference on Software Engineering. 2. 389–397. 10 indexed citations
9.
Bull, Christopher, Jon Whittle, & Leon Cruickshank. (2013). Studios in software engineering education: towards an evaluable model. International Conference on Software Engineering. 1063–1072. 23 indexed citations
10.
Ferrario, Maria Angela, et al.. (2013). Speedplay, managing the other edge of innovation. Lancaster EPrints (Lancaster University). 6 indexed citations
11.
Bencomo, Nelly, et al.. (2012). Self-Explanation in Adaptive Systems. 157–166. 13 indexed citations
12.
Hardy, John, Christopher Bull, Gerald Kotonya, & Jon Whittle. (2011). Digitally annexing desk space for software development.. International Conference on Software Engineering. 812–815. 2 indexed citations
13.
Rahim, Lukman Ab. & Jon Whittle. (2010). Verifying semantic conformance of state machine-to-java code generators. 166–180. 10 indexed citations
14.
Whittle, Jon, et al.. (2007). An expressive aspect composition language for UML state diagrams. 514–528. 22 indexed citations
15.
Jayaraman, Praveen, Jon Whittle, Ahmed Elkhodary, & Hassan Gomaa. (2007). Model composition in product lines and feature interaction detection using critical pair analysis. 151–165. 71 indexed citations
16.
Whittle, Jon, Joy Chakraborty, & Ingolf H. Krüger. (2006). Supporting Model-Based Testing with Scenarios and State Machines. 8. 2 indexed citations
17.
Whittle, Jon. (2006). Specifying precise use cases with use case charts. 1 indexed citations
18.
Nierstrasz, Oscar, Jon Whittle, David Harel, & Gianna Reggio. (2006). Model Driven Engineering Languages and Systems: 9th International Conference, MoDELS 2006, Genova, Italy, October 1-6, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 3 indexed citations
19.
Stevens, Perdita, Jon Whittle, & Grady Booch. (2003). Uml 2003-The Unified Modeling Language: Modeling Languages and Applications: 6th International Conference, San Francisco, Ca, Usa, October 2003: Proceedings (Lecture Notes in Computer Science, 2863). Springer eBooks. 14 indexed citations
20.
Whittle, Jon, et al.. (2003). From scenarios to code: an air traffic control case study. International Conference on Software Engineering. 490–495. 21 indexed citations

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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