Roy Tasker

1.1k total citations
34 papers, 666 citations indexed

About

Roy Tasker is a scholar working on Education, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Roy Tasker has authored 34 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Education, 13 papers in Developmental and Educational Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Roy Tasker's work include Visual and Cognitive Learning Processes (11 papers), Science Education and Pedagogy (11 papers) and Innovative Teaching Methods (6 papers). Roy Tasker is often cited by papers focused on Visual and Cognitive Learning Processes (11 papers), Science Education and Pedagogy (11 papers) and Innovative Teaching Methods (6 papers). Roy Tasker collaborates with scholars based in Australia, Taiwan and United States. Roy Tasker's co-authors include Rebecca Dalton, Mauro Mocerino, Henry Matovu, David F. Treagust, Chin‐Chung Tsai, Mihye Won, Robert Bucat, Vickie M. Williamson, Vicente Talanquer and Kenneth C. Williamson and has published in prestigious journals such as Journal of the American Chemical Society, Biophysical Journal and Inorganic Chemistry.

In The Last Decade

Roy Tasker

34 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Tasker Australia 11 374 210 139 117 90 34 666
Vickie M. Williamson United States 15 786 2.1× 364 1.7× 247 1.8× 33 0.3× 77 0.9× 28 980
Sascha Bernholt Germany 17 688 1.8× 418 2.0× 145 1.0× 28 0.2× 68 0.8× 53 896
Nicole Graulich Germany 20 719 1.9× 403 1.9× 157 1.1× 39 0.3× 37 0.4× 69 1.1k
Sevil Akaygün Türkiye 13 591 1.6× 278 1.3× 194 1.4× 14 0.1× 65 0.7× 34 723
Sascha Schanze Germany 7 375 1.0× 238 1.1× 34 0.2× 19 0.2× 61 0.7× 18 526
Michael R. Abraham United States 16 1.2k 3.2× 501 2.4× 209 1.5× 19 0.2× 84 0.9× 35 1.4k
Kenneth C. Williamson United States 8 154 0.4× 76 0.4× 104 0.7× 22 0.2× 28 0.3× 19 286
Thapelo L. Mamiala Australia 5 631 1.7× 343 1.6× 79 0.6× 6 0.1× 45 0.5× 8 721
Alex H. Johnstone United Kingdom 10 771 2.1× 335 1.6× 109 0.8× 6 0.1× 49 0.5× 17 908
Nathaniel P. Grove United States 12 791 2.1× 365 1.7× 128 0.9× 9 0.1× 45 0.5× 20 979

Countries citing papers authored by Roy Tasker

Since Specialization
Citations

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

Fields of papers citing papers by Roy Tasker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Tasker

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Tasker. A scholar is included among the top collaborators of Roy Tasker 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 Roy Tasker. Roy Tasker 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.
Matovu, Henry, Mihye Won, David F. Treagust, et al.. (2024). The Perceived Complexity of Learning Tasks Influences Students’ Collaborative Interactions in Immersive Virtual Reality. Journal of Science Education and Technology. 33(4). 542–555. 5 indexed citations
2.
Matovu, Henry, Mihye Won, Roy Tasker, et al.. (2024). “It is not just the shape, there is more”: students’ learning of enzyme–substrate interactions with immersive Virtual Reality. Chemistry Education Research and Practice. 26(1). 259–270. 2 indexed citations
3.
Won, Mihye, David F. Treagust, Mauro Mocerino, et al.. (2023). Students’ Use of Magnetic Models to Learn Hydrogen Bonding and the Formation of Snowflakes. Journal of Chemical Education. 100(7). 2504–2519. 5 indexed citations
4.
Matovu, Henry, Mihye Won, David F. Treagust, et al.. (2022). Change in students’ explanation of the shape of snowflakes after collaborative immersive virtual reality. Chemistry Education Research and Practice. 24(2). 509–525. 7 indexed citations
5.
Matovu, Henry, Mihye Won, Chin‐Chung Tsai, et al.. (2022). Immersive virtual reality for science learning: Design, implementation, and evaluation. Studies in Science Education. 59(2). 205–244. 84 indexed citations
6.
Matovu, Henry, et al.. (2021). WALKING INTO A PROTEIN MOLECULE TOGETHER: UNIVERSITY STUDENTS’ EXPLORATION OF AN ENZYME-SUBSTRATE INTERACTION IN IMMERSIVE VIRTUAL REALITY. 39. 1 indexed citations
7.
Wu, Mengyang, et al.. (2021). Remote Chemistry Teacher Professional Development Delivery: Enduring Lessons for Programmatic Redesign. Journal of Chemical Education. 98(8). 2518–2526. 10 indexed citations
8.
Wei, Zhang, et al.. (2018). Virtual Reality Environment to Visualize and Manipulate Molecular Structures. Biophysical Journal. 114(3). 184a–184a. 1 indexed citations
9.
Lawrie, Gwendolyn, Madeleine Schultz, Tim R. Dargaville, et al.. (2016). Closing the loop: A model for inter-institutional collaboration through delivering formative assessment in large, first-year STEM classes. Deakin Research Online (Deakin University). 399–410. 1 indexed citations
10.
Tasker, Roy. (2014). Research into practice: Visualising the molecular world for a deep understanding of chemistry. Teaching science (Deakin West, A.C.T. : Online)/Teaching science. 60(2). 16–27. 7 indexed citations
11.
Tasker, Roy. (2013). Research into practice: Visualising the molecular world using a cognitive learning model. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 1 indexed citations
12.
Tasker, Roy. (2012). The challenge of visualising science: Some research findings. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 1 indexed citations
13.
Schmid, Siegbert, et al.. (2012). Can one version of online learning materials benefit all students. eSpace (Curtin University). 125–158. 1 indexed citations
14.
Dalton, Rebecca, et al.. (2012). Research into practice: Using molecular representations as a learning strategy in chemistry. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 7. 1 indexed citations
15.
Tasker, Roy. (2005). Using multimedia to visualize the molecular world : educational theory into practice. 8 indexed citations
16.
Williamson, Vickie M., et al.. (2004). The Use of Video Demonstrations and Particulate Animation in General Chemistry. Journal of Science Education and Technology. 13(3). 315–323. 66 indexed citations
17.
Tasker, Roy, et al.. (2003). Analysis of student engagement with online chemistry modules using tracking data. 505–514. 5 indexed citations
18.
Buckingham, David A., et al.. (1983). Reversed-phase high-performance liquid chromatography of pentaammine cobalt(iii) complexes. Journal of Chromatography A. 262. 219–229. 4 indexed citations
19.
Tasker, Roy. (1981). Children's views and classroom experiences. Australian science teachers journal. 27(3). 33–37. 41 indexed citations
20.
Buckingham, David A., Charles R. Clark, Roy Tasker, & Milton T.W. Hearn. (1981). Separation of Cobalt (III) Bis(ethylenediamine) Amino Acid Complexes by Reversed Phase HPLC. Journal of Liquid Chromatography. 4(4). 689–700. 9 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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