James Baglin

714 total citations
31 papers, 395 citations indexed

About

James Baglin is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, James Baglin has authored 31 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 14 papers in Education and 3 papers in Developmental and Educational Psychology. Recurrent topics in James Baglin's work include Statistics Education and Methodologies (15 papers), Online and Blended Learning (4 papers) and Innovations in Educational Methods (4 papers). James Baglin is often cited by papers focused on Statistics Education and Methodologies (15 papers), Online and Blended Learning (4 papers) and Innovations in Educational Methods (4 papers). James Baglin collaborates with scholars based in Australia, Vietnam and United Kingdom. James Baglin's co-authors include Michael P. W. Grocott, M. Colson, Stephen Bolsin, Cliff Da Costa, Ronda F. Greaves, Iouri Belski, Grant Cooper, Minh Huynh, Rod W. Hunt and Chung Shun Ho and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, British Journal of Anaesthesia and Clinical Biochemistry.

In The Last Decade

James Baglin

29 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Baglin Australia 10 101 68 43 41 41 31 395
Gibbs Y. Kanyongo United States 10 115 1.1× 34 0.5× 34 0.8× 9 0.2× 14 0.3× 25 357
Ida Marais Australia 12 127 1.3× 42 0.6× 148 3.4× 15 0.4× 21 0.5× 34 702
José Luís Losada Spain 18 105 1.0× 29 0.4× 54 1.3× 12 0.3× 14 0.3× 52 1.0k
Timothy N. Ansley United States 12 61 0.6× 55 0.8× 71 1.7× 4 0.1× 54 1.3× 31 610
Yu‐Yu Hsiao United States 14 45 0.4× 49 0.7× 160 3.7× 14 0.3× 8 0.2× 45 526
Miguel Ángel Montero Alonso Spain 12 194 1.9× 28 0.4× 52 1.2× 12 0.3× 8 0.2× 39 513
Hwa Young Lee United States 11 34 0.3× 7 0.1× 40 0.9× 19 0.5× 21 0.5× 25 460
C. James Goodwin United States 11 83 0.8× 12 0.2× 116 2.7× 9 0.2× 41 1.0× 30 637
Gilbert Becker Canada 13 42 0.4× 41 0.6× 92 2.1× 8 0.2× 67 1.6× 51 595
David J. Woodruff United States 9 78 0.8× 121 1.8× 97 2.3× 7 0.2× 8 0.2× 19 612

Countries citing papers authored by James Baglin

Since Specialization
Citations

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

Fields of papers citing papers by James Baglin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Baglin

This figure shows the co-authorship network connecting the top 25 collaborators of James Baglin. A scholar is included among the top collaborators of James Baglin 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 James Baglin. James Baglin 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.
Zhang, Xiuzhen, et al.. (2020). Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes. RMIT Research Repository (RMIT University Library). 637–656.
2.
Baglin, James, et al.. (2018). Does Community Legal Education Work? Educating English Language Students about Consumer Contracts. eYLS (Yale Law School). 29(1). 29–46. 1 indexed citations
3.
Cooper, Grant, Rob Strathdee, & James Baglin. (2018). Examining geography as a predictor of students’ university intentions: a logistic regression analysis. Rural Society. 27(2). 83–93. 6 indexed citations
4.
Cooper, Grant, Amanda Berry, & James Baglin. (2018). Demographic Predictors of Students’ Science Participation over the Age of 16: an Australian Case Study. Research in Science Education. 50(1). 361–373. 19 indexed citations
5.
Huynh, Minh & James Baglin. (2017). Teaching Statistics through Data Investigations in Australian Secondary Schools: An Island-based Pilot Project. International Journal of Innovation in Science and Mathematics Education. 25(1). 49–64. 3 indexed citations
6.
Baglin, James, et al.. (2016). The statistical knowledge gap in Higher Degree by Research students: the supervisors’ perspective. Higher Education Research & Development. 36(5). 875–889. 9 indexed citations
7.
Baglin, James & Minh Huynh. (2015). Using the island to teach statistics through data investigations: A pilot project in Australian secondary schools. RMIT Research Repository (RMIT University Library). 87–93. 2 indexed citations
8.
Greaves, Ronda F., et al.. (2015). Hormone Modeling in Preterm Neonates: Establishment of Pituitary and Steroid Hormone Reference Intervals. The Journal of Clinical Endocrinology & Metabolism. 100(3). 1097–1103. 34 indexed citations
9.
Huynh, Minh & James Baglin. (2014). Enriching the mathematics classroom: A visit to the virtual Island. Swinburne Research Bank (Swinburne University of Technology). 1 indexed citations
10.
Huynh, Minh, et al.. (2014). Improving the attitudes of high school students towards statistics: an island based approach. Swinburne Research Bank (Swinburne University of Technology). 1–4. 8 indexed citations
11.
Belski, Iouri, et al.. (2013). Teaching TRIZ at University: A Longitudinal Study. International journal of engineering education. 29(2). 346–354. 20 indexed citations
14.
Baglin, James & Cliff Da Costa. (2012). An Experimental Study Evaluating Error Management Training for Learning to Operate a Statistical Package in an Introductory Statistics Course: Is Less Guidance More?. International Journal of Innovation in Science and Mathematics Education. 20(3). 48–67. 4 indexed citations
15.
Colson, M., James Baglin, Stephen Bolsin, & Michael P. W. Grocott. (2012). Cardiopulmonary exercise testing predicts 5 yr survival after major surgery. British Journal of Anaesthesia. 109(5). 735–741. 45 indexed citations
17.
Vukicevic, Meri, Anh Lê, & James Baglin. (2012). A Simplified Method of Identifying the Trained Retinal Locus for Training in Eccentric Viewing. Journal of Visual Impairment & Blindness. 106(9). 555–561. 1 indexed citations
18.
Linden, Matthew D., et al.. (2011). Teaching clinical trial design and management using an online virtual environment. UWA Profiles and Research Repository (University of Western Australia). 17. 107–113. 8 indexed citations
19.
Baglin, James, et al.. (2011). An experimental study comparing two different training strategies on how to use statistical packages in an introductory statistics course. RMIT Research Repository (RMIT University Library). 17. 162–168. 1 indexed citations
20.
Baglin, James, et al.. (2011). The effect of close proximity holographic wristbands on human balance and limits of stability: A randomised, placebo-controlled trial. Journal of Bodywork and Movement Therapies. 15(3). 298–303. 6 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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