Shayne Flint

17 papers receiving 283 citations

Peers

Shayne Flint
Comparison fields: 5 of 87
  • Computer Science Applications 35
  • Management of Technology and Innovation 42
  • Software 20
  • Information Systems and Management 35
  • Information Systems 110
Replace S. Parthasarathy with:
S. Parthasarathy India
Ernest Mnkandla South Africa
Bogdan Ghilic-Micu Romania
Johan Linåker Sweden
Magnus Ramage United Kingdom
Tatiana Gavrilova Russia
Dawn R. Utley United States
François Coallier Canada
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Shayne Flint relative to S. Parthasarathy India S. Parthasarathy's profile →
Citations per field
00.5×2.9×
S. Parthasarathy · 1×
Citations per year

Countries citing papers authored by Shayne Flint

Since Specialization
Citations

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

Fields of papers citing papers by Shayne Flint

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Shayne Flint, 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 Shayne Flint Line = papers co-authored together Shayne Flint links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202087
2 201349
3 201037
4 201127
5 201725
6 201320
7
Executable/Translatable UML in computing education
200415
8
Providing students with 'real-world' experience through university group projects
200913
9 20186
10 20033
11 20173
12 20202
13 20172
14
Students' Perceptions of Individual and Group Performance in Capstone Projects
20191
15
A Model-Driven Approach to Systems-of-Systems Engineering
20081
16 20221
17
Towards improved Adoption: Effectiveness of Research Tools in the Real World.
20161
18 20080
19 20090

About Shayne Flint

Shayne Flint is a scholar working on Information Systems, Management of Technology and Innovation, Artificial Intelligence, Media Technology and Strategy and Management, having authored 19 papers that have together received 293 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (5 papers), Advanced Software Engineering Methodologies (4 papers), Software Engineering Research (4 papers), Engineering Education and Curriculum Development (3 papers), Innovation and Knowledge Management (3 papers), Open Source Software Innovations (2 papers), Engineering Education and Pedagogy (2 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Computer Science Applications (35 citations), Management of Technology and Innovation (42 citations), Software (20 citations), Information Systems and Management (35 citations) and Information Systems (110 citations). Shayne Flint has collaborated with scholars based in Australia, France and China. Frequent co-authors include Richa Awasthy, Richard Jones, Ramesh Sankaranarayana, Jacques Gignoux, Ian D. Davies, Zheng Li, Liam O’Brien, He Zhang, Jean‐Daniel Zucker and Henry Gardner. Their work appears in journals such as Ecosystems, Journal of Systems and Software, Ecological Complexity, Ecological Modelling and International journal of engineering education.

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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