James Willans

476 citations
12 papers · 170 indexed · h-index 5

James Willans

12 papers receiving 147 citations

Peers

James Willans
Comparison fields: 5 of 27
  • Software 90
  • Human-Computer Interaction 31
  • Management Information Systems 34
  • Information Systems 85
  • Artificial Intelligence 96
Replace Trygve Reenskaug with:
Trygve Reenskaug Norway
Andreas Schürr Germany
José Á. Carsí Spain
Jim Arlow United Kingdom
Hrushikesha Mohanty India
Christian F. J. Lange Netherlands
Valentino Vranić Slovakia
Corin Gurr United Kingdom
Jaroslav Porubän Slovakia
Eóin Woods United Kingdom
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Citations per year

Countries citing papers authored by James Willans

Since Specialization
Citations

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

Fields of papers citing papers by James Willans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside James Willans, 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 James Willans Line = papers co-authored together James Willans links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Superlanguages: developing languages and applications with XMF.
200816
2 20084
3
Applied metamodelling: a foundation for language driven development.
200882
4 20065
5 20054
6
Language driven development and MDA.
20043
7
Revised submission for MOF 2.0 query / views /transformations RFP.
200317
8
Defining OCL expressions using templates.
20021
9
A pattern based approach to defining the dynamic infrastructure of UML 2.0.
20022
10
A pattern based approach to defining translations between languages.
20021
11 200132
12 20003

About James Willans

James Willans is a scholar working on Software, Human-Computer Interaction, Development, Information Systems and Artificial Intelligence, having authored 12 papers that have together received 170 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (6 papers), Advanced Software Engineering Methodologies (4 papers), Software Engineering Research (3 papers), Human Motion and Animation (3 papers), Service-Oriented Architecture and Web Services (2 papers), Augmented Reality Applications (2 papers), Interactive and Immersive Displays (2 papers) and Speech and dialogue systems (1 paper). The work is most often cited by research in Software (90 citations), Human-Computer Interaction (31 citations), Management Information Systems (34 citations), Information Systems (85 citations) and Artificial Intelligence (96 citations). James Willans has collaborated with scholars based in United Kingdom, Switzerland and India. Frequent co-authors include Paul Sammut, Michael D. Harrison, Tony Clark, Andy Evans, Shamus P. Smith, Laurence Tratt, R. Venkatesh, Sreedhar Reddy, Alan Moore and Stuart Kent. Their work appears in journals such as International Journal of Human-Computer Studies, The Journal of Object Technology, Middlesex University Research Repository (Middlesex University Of London), Eurographics and SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University).

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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