Diane J. Briars
- Statistics and Probability top 0.5%
- Education top 2%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology
- Artificial Intelligence
- Co-authors
- Robert S. SieglerJill H. LarkinKaren C. FusonLauren Β. ResnickAlba G. ThompsonMarilyn E. StrutchensDavid BarnesRichard L. Scheaffer
- Topics
- Cognitive and developmental aspects of mathematical skills (4 papers)Education Systems and Policy (3 papers)Mathematics Education and Teaching Techniques (3 papers)
- Journals
- Developmental PsychologyJournal for Research in Mathematics EducationCognition and Instruction
- Partner nations
- United StatesPhilippines
In The Last Decade
Diane J. Briars
10 papers receiving 569 citations
Peers
Comparison fields: 5 of 47
- Statistics and Probability 504
- Education 496
- Developmental and Educational Psychology 347
- Experimental and Cognitive Psychology 61
- Artificial Intelligence 43
Countries citing papers authored by Diane J. Briars
This map shows the geographic impact of Diane J. Briars'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 Diane J. Briars with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane J. Briars more than expected).
Fields of papers citing papers by Diane J. Briars
This network shows the impact of papers produced by Diane J. Briars. 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 Diane J. Briars. The network helps show where Diane J. Briars may publish in the future.
Co-authorship network of co-authors of Diane J. Briars
This figure shows the co-authorship network connecting the top 25 collaborators of Diane J. Briars. A scholar is included among the top collaborators of Diane J. Briars 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 Diane J. Briars. Diane J. Briars 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 | 1 | |
| 3 | Standards, Assessments--and What Else? The Essential Elements of Standards-Based School Improvement. CSE Technical Report. | 12 |
| 4 | Square One: Promoting Systemic Math Reform. | 1 |
| 5 | 162 | |
| 6 | 17 | |
| 7 | Assessing Students' Learning to Inform Teaching: The Message in NCTM's Evaluation Standards. | 8 |
| 8 | 2 | |
| 9 | Research problems in mathematics education - III | 2 |
| 10 | 13 | |
| 11 | 218 | |
| 12 | 245 |
About Diane J. Briars
Diane J. Briars is a scholar working on Statistics and Probability, Modeling and Simulation and Education, having authored 12 papers that have together received 684 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (4 papers), Education Systems and Policy (3 papers) and Mathematics Education and Teaching Techniques (3 papers). The work is most often cited by research in Statistics and Probability (504 citations), Developmental and Educational Psychology (347 citations) and Education (496 citations). Diane J. Briars has collaborated with scholars based in United States and Philippines. Frequent co-authors include Robert S. Siegler, Jill H. Larkin, Karen C. Fuson, Lauren Β. Resnick, Alba G. Thompson, Marilyn E. Strutchens, David Barnes, Richard L. Scheaffer, J. E. Bernard and Ipke Wachsmuth. Their work appears in journals such as Developmental Psychology, Journal for Research in Mathematics Education and Cognition and Instruction.
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.