Rebecca Marrone

1.3k total citations · 1 hit paper
28 papers, 684 citations indexed

About

Rebecca Marrone is a scholar working on Experimental and Cognitive Psychology, Computer Science Applications and Cognitive Neuroscience. According to data from OpenAlex, Rebecca Marrone has authored 28 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 8 papers in Computer Science Applications and 6 papers in Cognitive Neuroscience. Recurrent topics in Rebecca Marrone's work include Creativity in Education and Neuroscience (13 papers), Online Learning and Analytics (7 papers) and Education, Achievement, and Giftedness (5 papers). Rebecca Marrone is often cited by papers focused on Creativity in Education and Neuroscience (13 papers), Online Learning and Analytics (7 papers) and Education, Achievement, and Giftedness (5 papers). Rebecca Marrone collaborates with scholars based in Australia, United States and Germany. Rebecca Marrone's co-authors include David H. Cropley, Maarten de Laat, James C. Kaufman, George Siemens, Srécko Joksimovíc, Florence Gabriel, Lina Markauskaitė, Dirk Ifenthaler, Oleksandra Poquet and Roberto Martínez‐Maldonado and has published in prestigious journals such as Teaching and Teacher Education, Journal of Computer Assisted Learning and Creativity Research Journal.

In The Last Decade

Rebecca Marrone

23 papers receiving 655 citations

Hit Papers

Rethinking the entwinement between artificial intelligenc... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Marrone Australia 12 216 177 144 132 119 28 684
Claudia Nerdel Germany 10 81 0.4× 140 0.8× 163 1.1× 95 0.7× 78 0.7× 35 478
Tim Coughlan United Kingdom 16 53 0.2× 219 1.2× 174 1.2× 112 0.8× 121 1.0× 80 844
Grant Cooper Australia 11 49 0.2× 258 1.5× 206 1.4× 307 2.3× 136 1.1× 31 1.0k
Catherine Adams Canada 12 40 0.2× 130 0.7× 206 1.4× 50 0.4× 89 0.7× 62 715
Engin Kurşun Türkiye 12 131 0.6× 124 0.7× 240 1.7× 39 0.3× 111 0.9× 50 561
Marcel Pikhart Czechia 17 28 0.1× 190 1.1× 260 1.8× 262 2.0× 189 1.6× 65 911
Yun‐Fang Tu Taiwan 19 43 0.2× 377 2.1× 332 2.3× 255 1.9× 244 2.1× 65 1.1k
Christos N. Moridis Greece 11 100 0.5× 84 0.5× 124 0.9× 110 0.8× 52 0.4× 18 547
Young Hoan Cho South Korea 13 55 0.3× 249 1.4× 501 3.5× 129 1.0× 143 1.2× 50 945
Ashraf Alam India 14 23 0.1× 251 1.4× 243 1.7× 167 1.3× 144 1.2× 42 812

Countries citing papers authored by Rebecca Marrone

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Marrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Marrone

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Marrone. A scholar is included among the top collaborators of Rebecca Marrone 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 Rebecca Marrone. Rebecca Marrone 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.
Gabriel, Florence, JohnPaul Kennedy, Rebecca Marrone, & Simon N. Leonard. (2025). Pragmatic AI in education and its role in mathematics learning and teaching. npj Science of Learning. 10(1). 26–26. 1 indexed citations
2.
Cropley, David H., et al.. (2025). Bridging the gender gap in STEM: The impact of self-beliefs on domain-specific creativity among secondary students. Thinking Skills and Creativity. 58. 101929–101929.
5.
Medeiros, Kelsey E., David H. Cropley, Rebecca Marrone, & Roni Reiter‐Palmon. (2025). Human‐AI Co‐Creativity: Does ChatGPT Make Us More Creative?. The Journal of Creative Behavior. 59(2). 4 indexed citations
6.
Mirriahi, Negin, et al.. (2025). The relationship between students’ self-regulated learning skills and technology acceptance of GenAI. Australasian Journal of Educational Technology. 4 indexed citations
7.
Whitehorn, Megan, Vitomir Kovanović, Rebecca Marrone, & Shane Dawson. (2025). Creative Thinking and Non-Cognitive Factors in Science: Implications for Diversity in STEM Subjects. Creativity Research Journal. 1–15.
8.
Marrone, Rebecca, et al.. (2024). Perceptions and perspectives of Australian school leaders on the integration of artificial intelligence in schools. School Leadership and Management. 45(1). 30–52. 3 indexed citations
9.
Marrone, Rebecca, et al.. (2024). Understanding Student Perceptions of Artificial Intelligence as a Teammate. Technology Knowledge and Learning. 30(3). 1847–1869. 6 indexed citations
10.
11.
Marrone, Rebecca, David H. Cropley, & Kelsey E. Medeiros. (2024). How Does Narrow AI Impact Human Creativity?. Creativity Research Journal. 38(1). 150–160. 11 indexed citations
12.
Marmolejo‐Ramos, Fernando, et al.. (2024). Fear of the unknown: Relationship between statistics anxiety and attitudes toward statistics of university students in three countries. Teaching Statistics. 47(1). 17–38. 1 indexed citations
13.
Cropley, David H., et al.. (2024). Fit-For-Purpose Creativity Assessment: Automatic Scoring of the Test of Creative Thinking – Drawing Production (TCT-DP). Creativity Research Journal. 37(4). 539–554. 6 indexed citations
14.
Marrone, Rebecca, et al.. (2023). First 100 days of ChatGPT at Australian Universities: An analysis of policy landscape and media discussions about the role of AI in higher education. UniSA Research Outputs Repository (University of South Australia). 6 indexed citations
15.
Markauskaitė, Lina, Rebecca Marrone, Oleksandra Poquet, et al.. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education Artificial Intelligence. 3. 100056–100056. 167 indexed citations breakdown →
16.
Gabriel, Florence, Rebecca Marrone, Ysabella Van Sebille, Vitomir Kovanović, & Maarten de Laat. (2022). Digital education strategies around the world: practices and policies. Irish Educational Studies. 41(1). 85–106. 37 indexed citations
17.
Cropley, David H. & Rebecca Marrone. (2022). Automated scoring of figural creativity using a convolutional neural network.. Psychology of Aesthetics Creativity and the Arts. 19(1). 77–86. 29 indexed citations
18.
Kaufman, James C., et al.. (2021). What Is Creativity in Education? A Qualitative Study of International Curricula. Journal of Advanced Academics. 32(2). 207–230. 60 indexed citations
19.
Cropley, David H., et al.. (2018). Teacher implicit beliefs of creativity: Is there an arts bias?. Teaching and Teacher Education. 75. 366–374. 49 indexed citations
20.
Cropley, David H., et al.. (2017). Teacher Self-Concepts of Creativity: Meeting the Challenges of the 21st Century Classroom. The International Journal of Creativity and Problem Solving. 27(2). 23. 15 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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