Anne Hawkins
- Education top 5%
- Developmental and Educational Psychology top 10%
- Statistics and Probability top 5%
- Artificial Intelligence
- Infectious Diseases
- Co-authors
- Robert M. GagneRamesh KapadiaIan WellerKlaus KrippendorffJohan GieseckeAngus NicollMargaret JohnsonA Noone
- Topics
- Statistics Education and Methodologies (7 papers)Data Analysis with R (2 papers)Mathematics Education and Teaching Techniques (2 papers)
- Journals
- AIDSJournal of the Royal Statistical Society Series A (Statistics in Society)Educational Studies in Mathematics
- Partner nations
- United KingdomMexicoLatvia
In The Last Decade
Anne Hawkins
14 papers receiving 464 citations
Peers
Comparison fields: 5 of 110
- Education 228
- Developmental and Educational Psychology 129
- Statistics and Probability 106
- Artificial Intelligence 53
- Infectious Diseases 50
Countries citing papers authored by Anne Hawkins
This map shows the geographic impact of Anne Hawkins'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 Anne Hawkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Hawkins more than expected).
Fields of papers citing papers by Anne Hawkins
This network shows the impact of papers produced by Anne Hawkins. 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 Anne Hawkins. The network helps show where Anne Hawkins may publish in the future.
Co-authorship network of co-authors of Anne Hawkins
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Hawkins. A scholar is included among the top collaborators of Anne Hawkins 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 Anne Hawkins. Anne Hawkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | The First R - for Reasoning! | 1 |
| 4 | 6 | |
| 5 | 23 | |
| 6 | 53 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 338 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | Statistics or How to Know Your Onions. | 3 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 65 | |
| 16 | 4 |
About Anne Hawkins
Anne Hawkins is a scholar working on Theoretical Computer Science, Statistics and Probability and General Social Sciences, having authored 16 papers that have together received 557 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (7 papers), Data Analysis with R (2 papers) and Mathematics Education and Teaching Techniques (2 papers). The work is most often cited by research in Statistics and Probability (106 citations), Developmental and Educational Psychology (129 citations) and Education (228 citations). Anne Hawkins has collaborated with scholars based in United Kingdom, Mexico and Latvia. Frequent co-authors include Robert M. Gagne, Ramesh Kapadia, Ian Weller, Klaus Krippendorff, Johan Giesecke, Angus Nicoll, Margaret Johnson, A Noone, Peter Hawkins and Bert Fristedt. Their work appears in journals such as AIDS, Journal of the Royal Statistical Society Series A (Statistics in Society) 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.