Jane Sinclair

3.6k total citations · 1 hit paper
79 papers, 2.1k citations indexed

About

Jane Sinclair is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology. According to data from OpenAlex, Jane Sinclair has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Science Applications, 24 papers in Education and 17 papers in Developmental and Educational Psychology. Recurrent topics in Jane Sinclair's work include Online Learning and Analytics (40 papers), Online and Blended Learning (21 papers) and Innovative Teaching and Learning Methods (17 papers). Jane Sinclair is often cited by papers focused on Online Learning and Analytics (40 papers), Online and Blended Learning (21 papers) and Innovative Teaching and Learning Methods (17 papers). Jane Sinclair collaborates with scholars based in United Kingdom, Australia and United States. Jane Sinclair's co-authors include Mike Joy, Dimah Al-Fraihat, Ra’ed Masa’deh, Daniel F. O. Onah, Russell Boyatt, David Till, Judy Sheard, Norma P. Simon, Jane Yin-Kim Yau and Päivi Kinnunen and has published in prestigious journals such as Computers in Human Behavior, British Journal of Educational Technology and Assessment & Evaluation in Higher Education.

In The Last Decade

Jane Sinclair

70 papers receiving 2.0k citations

Hit Papers

Evaluating E-learning systems success: An empirical study 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Sinclair United Kingdom 21 833 693 541 455 352 79 2.1k
John F. Pane United States 21 565 0.7× 574 0.8× 319 0.6× 360 0.8× 312 0.9× 91 1.9k
Tamara Sumner United States 25 540 0.6× 389 0.6× 521 1.0× 787 1.7× 149 0.4× 137 2.2k
Matti Tedre Finland 29 1.3k 1.6× 669 1.0× 642 1.2× 300 0.7× 137 0.4× 146 2.7k
Mike Joy United Kingdom 25 964 1.2× 968 1.4× 1.3k 2.5× 620 1.4× 395 1.1× 202 3.3k
Erkki Sutinen Finland 27 963 1.2× 501 0.7× 897 1.7× 820 1.8× 167 0.5× 249 3.3k
Judy Sheard Australia 27 1.7k 2.0× 795 1.1× 684 1.3× 274 0.6× 230 0.7× 155 3.0k
Ig Ibert Bittencourt Brazil 24 809 1.0× 412 0.6× 650 1.2× 721 1.6× 111 0.3× 193 2.3k
Demetrios G. Sampson Greece 30 1.2k 1.5× 1.1k 1.6× 905 1.7× 635 1.4× 148 0.4× 208 3.3k
Miguel‐Ángel Sicilia Spain 26 671 0.8× 315 0.5× 960 1.8× 952 2.1× 165 0.5× 213 2.8k
Daniel Burgos Spain 27 1.3k 1.6× 1.0k 1.5× 874 1.6× 493 1.1× 139 0.4× 205 3.6k

Countries citing papers authored by Jane Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by Jane Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Sinclair

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Sinclair. A scholar is included among the top collaborators of Jane Sinclair 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 Jane Sinclair. Jane Sinclair 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.
Malmi, Lauri, Judy Sheard, Jane Sinclair, Päivi Kinnunen, & Norma P. Simon. (2023). Domain-Specific Theories of Teaching Computing: Do they Inform Practice?. Monash University Research Portal (Monash University). 1–15. 1 indexed citations
2.
Sinclair, Jane, et al.. (2023). Bovine TB in New Zealand – journey from epidemic towards eradication. Irish Veterinary Journal. 76(S1). 21–21. 3 indexed citations
3.
Malmi, Lauri, Judy Sheard, Päivi Kinnunen, Norma P. Simon, & Jane Sinclair. (2022). Development and Use of Domain-specific Learning Theories, Models, and Instruments in Computing Education. ACM Transactions on Computing Education. 23(1). 1–48. 15 indexed citations
4.
Onah, Daniel F. O., et al.. (2022). An investigation of self-regulated learning in a novel MOOC platform. Journal of Computing in Higher Education. 36(1). 57–90. 7 indexed citations
5.
Onah, Daniel F. O., et al.. (2021). An innovative MOOC platform: the implications of self-directed learning abilities to improve motivation in learning and to support self-regulation. International Journal of Information and Learning Technology. 38(3). 283–298. 29 indexed citations
6.
Al-Fraihat, Dimah, Mike Joy, Ra’ed Masa’deh, & Jane Sinclair. (2019). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior. 102. 67–86. 765 indexed citations breakdown →
7.
Al-Fraihat, Dimah, Mike Joy, & Jane Sinclair. (2019). A Comprehensive Model for Evaluating E-Learning Systems Success. Warwick Research Archive Portal (University of Warwick). 15(3). 57–73. 5 indexed citations
8.
Sentance, Sue, et al.. (2018). Classroom-Based Research Projects for Computing Teachers. ACM Transactions on Computing Education. 18(3). 1–26. 7 indexed citations
9.
Onah, Daniel F. O. & Jane Sinclair. (2017). Assessing Self-Regulation of Learning Dimensions in a Stand-alone MOOC Platform. International Journal of Engineering Pedagogy (iJEP). 7(2). 4–4. 42 indexed citations
10.
Cosma, Georgina, et al.. (2017). Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions. ACM Transactions on Computing Education. 17(2). 1–16. 10 indexed citations
11.
Onah, Daniel F. O. & Jane Sinclair. (2016). Design Science MOOC: A Framework of Good Practice Pedagogy in a Novel E-Learning Platform eLDa. Warwick Research Archive Portal (University of Warwick). 504–511. 2 indexed citations
12.
Onah, Daniel F. O. & Jane Sinclair. (2015). Learners expectations and motivations using content analysis in a MOOC. Warwick Research Archive Portal (University of Warwick). 2015(1). 192–201. 2 indexed citations
14.
Onah, Daniel F. O., Jane Sinclair, & Russell Boyatt. (2015). Forum Posting Habits and Attainment in a Dual-Mode MOOC. International Journal for Cross-Disciplinary Subjects in Education. 5(Special 2). 2463–2470. 4 indexed citations
15.
Uden, Lorna, et al.. (2014). Learning Technology for Education in Cloud - MOOC and Big Data: Third International Workshop, LTEC 2014, Santiago, Chile, September 2-5, 2014. Springer eBooks. 1 indexed citations
16.
Boyatt, Russell & Jane Sinclair. (2013). Meeting learners' needs inside the educational cloud. International Journal of Learning Technology. 8(1). 61–61. 2 indexed citations
17.
Nurse, Jason R. C. & Jane Sinclair. (2010). A Thorough Evaluation of the Compatibility of an E−Business Security Negotiations Support Tool. Oxford University Research Archive (ORA) (University of Oxford). 37(4).
18.
Joy, Mike, Georgina Cosma, Jane Sinclair, & Jane Yin-Kim Yau. (2009). A taxonomy of plagiarism in computer science. Warwick Research Archive Portal (University of Warwick). 3372–3379. 10 indexed citations
19.
Beynon, Meurig, et al.. (2000). Formal Specification from an Observation-oriented Perspective.. JUCS - Journal of Universal Computer Science. 6. 407–421. 11 indexed citations
20.
Sinclair, Jane, et al.. (1999). Routing - A Challenge to Formal Methods.. Parallel and Distributed Processing Techniques and Applications. 3(5). 305–311.

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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