Lara Alcock
- Education top 0.5%
- Statistics and Probability top 0.5%
- Developmental and Educational Psychology top 5%
- Theoretical Computer Science top 0.5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Matthew InglisKeith WeberAdrian SimpsonIan JonesCarol RobinsonSven TrenholmJuan Pablo Mejía-RamosCamilla Gilmore
- Topics
- Mathematics Education and Teaching Techniques (34 papers)Cognitive and developmental aspects of mathematical skills (16 papers)Statistics Education and Methodologies (14 papers)
- Journals
- Studies in Higher EducationJournal for Research in Mathematics EducationEducational Studies in Mathematics
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Lara Alcock
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 71
- Education 1.0k
- Statistics and Probability 551
- Developmental and Educational Psychology 263
- Theoretical Computer Science 172
- Experimental and Cognitive Psychology 134
Countries citing papers authored by Lara Alcock
This map shows the geographic impact of Lara Alcock'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 Lara Alcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lara Alcock more than expected).
Fields of papers citing papers by Lara Alcock
This network shows the impact of papers produced by Lara Alcock. 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 Lara Alcock. The network helps show where Lara Alcock may publish in the future.
Co-authorship network of co-authors of Lara Alcock
This figure shows the co-authorship network connecting the top 25 collaborators of Lara Alcock. A scholar is included among the top collaborators of Lara Alcock 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 Lara Alcock. Lara Alcock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | Tilting the classroom | 2 |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 27 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 65 | |
| 15 | REFERENTIAL AND SYNTACTIC APPROACHES TO PROOF: CASE STUDIES FROM A TRANSITION COURSE | 9 |
| 16 | 73 | |
| 17 | 69 | |
| 18 | Uses of Example Objects in Proving. | 11 |
| 19 | How does flexible mathematical thinking contribute to the growth of understanding | 8 |
| 20 | 53 |
About Lara Alcock
Lara Alcock is a scholar working on Theoretical Computer Science, Statistics and Probability and Education, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (34 papers), Cognitive and developmental aspects of mathematical skills (16 papers) and Statistics Education and Methodologies (14 papers). The work is most often cited by research in Theoretical Computer Science (172 citations), Statistics and Probability (551 citations) and Education (1.0k citations). Lara Alcock has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Matthew Inglis, Keith Weber, Adrian Simpson, Ian Jones, Carol Robinson, Sven Trenholm, Juan Pablo Mejía-Ramos, Camilla Gilmore, Nina Attridge and S.D. Kenny. Their work appears in journals such as Studies in Higher Education, Journal for Research in Mathematics Education and Educational Studies in Mathematics.
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.