Florence Gabriel

1.5k total citations · 1 hit paper
31 papers, 959 citations indexed

About

Florence Gabriel is a scholar working on Education, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Florence Gabriel has authored 31 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Education, 15 papers in Statistics and Probability and 5 papers in Developmental and Educational Psychology. Recurrent topics in Florence Gabriel's work include Cognitive and developmental aspects of mathematical skills (14 papers), Mathematics Education and Teaching Techniques (12 papers) and Early Childhood Education and Development (4 papers). Florence Gabriel is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (14 papers), Mathematics Education and Teaching Techniques (12 papers) and Early Childhood Education and Development (4 papers). Florence Gabriel collaborates with scholars based in Australia, United Kingdom and Belgium. Florence Gabriel's co-authors include Dénes Szűcs, Amy Devine, Fruzsina Soltész, Alain Content, Titia Gebuis, Sarah Buckley, Bernard Rey, Rebecca Marrone, Maarten de Laat and Jason Signolet and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Teaching and Teacher Education.

In The Last Decade

Florence Gabriel

30 papers receiving 935 citations

Hit Papers

Developmental dyscalculia is related to visuo-spatial mem... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florence Gabriel Australia 12 633 566 379 152 113 31 959
Andreas Obersteiner Germany 14 419 0.7× 493 0.9× 266 0.7× 105 0.7× 207 1.8× 43 803
Paul J. Riccomini United States 16 401 0.6× 568 1.0× 447 1.2× 88 0.6× 36 0.3× 52 837
Delinda van Garderen United States 16 442 0.7× 692 1.2× 339 0.9× 53 0.3× 115 1.0× 43 980
Chaitanya Ramineni United States 13 1.4k 2.2× 1.4k 2.5× 864 2.3× 94 0.6× 102 0.9× 23 1.9k
Delphine Sasanguie Belgium 23 1.5k 2.3× 1.3k 2.3× 881 2.3× 273 1.8× 130 1.2× 47 1.8k
Brian A. Bottge United States 19 561 0.9× 677 1.2× 518 1.4× 49 0.3× 95 0.8× 40 1.1k
Minna Hannula‐Sormunen Finland 23 1.1k 1.7× 1.0k 1.8× 620 1.6× 179 1.2× 171 1.5× 61 1.5k
Ana C. Stephens United States 18 668 1.1× 966 1.7× 320 0.8× 42 0.3× 72 0.6× 40 1.1k
Joke Torbeyns Belgium 27 1.8k 2.8× 1.7k 3.1× 942 2.5× 102 0.7× 334 3.0× 103 2.3k
Emily R. Fyfe United States 25 856 1.4× 1.2k 2.1× 900 2.4× 108 0.7× 384 3.4× 59 1.8k

Countries citing papers authored by Florence Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Florence Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Gabriel

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Gabriel. A scholar is included among the top collaborators of Florence Gabriel 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 Florence Gabriel. Florence Gabriel 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
4.
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
5.
Kennedy, JohnPaul, et al.. (2023). Self-determined learning in a virtual makerspace: a pathway to improving spatial reasoning for upper primary students. International Journal of Technology and Design Education. 34(2). 563–584. 3 indexed citations
6.
Kennedy, JohnPaul, et al.. (2023). Learning analytics for lifelong career development: a framework to support sustainable formative assessment and self-reflection in programs developing career self-efficacy. Frontiers in Artificial Intelligence. 6. 1173099–1173099. 4 indexed citations
7.
Raymond, Susan U. & Florence Gabriel. (2023). An ecological framework for early years teacher self-efficacy development. Teaching and Teacher Education. 132. 104252–104252. 7 indexed citations
8.
Leonard, Simon N., et al.. (2022). Empowering mathematics teachers to meet evolving educational goals: the role of “epistemic objects” in developing actionable practice knowledge in tumultuous times. Asia-Pacific Journal of Teacher Education. 51(1). 45–57. 1 indexed citations
9.
Gabriel, Florence, et al.. (2022). Exploring the effect of teacher ontological and epistemic cognition on engagement with professional development. Professional Development in Education. 51(2). 319–335. 1 indexed citations
10.
Kennedy, JohnPaul, et al.. (2021). Technology enhanced learning environments and the potential for enhancing spatial reasoning: a mixed methods study. Mathematics Education Research Journal. 34(4). 887–910. 29 indexed citations
11.
Miles, Andrew, et al.. (2020). NETWORK ANALYSIS OF ATTITUDES TOWARDS STATISTICS: THE CANADA AND SPAIN CASES. INTED proceedings. 1. 4322–4328. 1 indexed citations
12.
Gabriel, Florence. (2016). Understanding magnitudes to understand fractions. Australian primary mathematics classroom/Australian primary mathematics classroom (Online). 21(2). 36–40. 9 indexed citations
13.
Gabriel, Florence, et al.. (2015). Common magnitude representation of fractions and decimals is task dependent. Quarterly Journal of Experimental Psychology. 69(4). 764–780. 7 indexed citations
14.
Gabriel, Florence, et al.. (2014). The componential processing of fractions in adults and children: effects of stimuli variability and contextual interference. Frontiers in Psychology. 5. 981–981. 10 indexed citations
15.
Gabriel, Florence & Dénes Szűcs. (2013). The Development of the Mental Representation of Fraction Magnitude.. PLoS ONE. 1 indexed citations
16.
Szűcs, Dénes, et al.. (2013). Developmental dyscalculia is related to visuo-spatial memory and inhibition impairment. Cortex. 49(10). 2674–2688. 284 indexed citations breakdown →
17.
Gabriel, Florence, Dénes Szűcs, & Alain Content. (2013). The Development of the Mental Representations of the Magnitude of Fractions. PLoS ONE. 8(11). e80016–e80016. 18 indexed citations
18.
Gabriel, Florence, Dénes Szűcs, & Alain Content. (2013). The mental representations of fractions: adults' same–different judgments. Frontiers in Psychology. 4. 385–385. 10 indexed citations
20.
Gabriel, Florence, et al.. (2013). A componential view of children's difficulties in learning fractions. Frontiers in Psychology. 4. 715–715. 81 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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