Meirav Arieli‐Attali
- Developmental and Educational Psychology top 5%
- Education top 10%
- Computer Science Applications top 5%
- Sociology and Political Science
- Information Systems top 10%
- Co-authors
- Yigal AttaliJay ThomasAlina A. von DavierVanessa R. SimmeringLu OuDavid V. BudescuPeter W. van RijnYing Liu
- Topics
- Cognitive and developmental aspects of mathematical skills (4 papers)Mathematics Education and Teaching Techniques (4 papers)Innovative Teaching and Learning Methods (3 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyHuman-Computer Interaction
- Partner nations
- United StatesNetherlandsIreland
In The Last Decade
Meirav Arieli‐Attali
13 papers receiving 329 citations
Peers
Comparison fields: 5 of 64
- Developmental and Educational Psychology 242
- Education 116
- Computer Science Applications 110
- Sociology and Political Science 56
- Information Systems 55
Countries citing papers authored by Meirav Arieli‐Attali
This map shows the geographic impact of Meirav Arieli‐Attali'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 Meirav Arieli‐Attali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meirav Arieli‐Attali more than expected).
Fields of papers citing papers by Meirav Arieli‐Attali
This network shows the impact of papers produced by Meirav Arieli‐Attali. 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 Meirav Arieli‐Attali. The network helps show where Meirav Arieli‐Attali may publish in the future.
Co-authorship network of co-authors of Meirav Arieli‐Attali
This figure shows the co-authorship network connecting the top 25 collaborators of Meirav Arieli‐Attali. A scholar is included among the top collaborators of Meirav Arieli‐Attali 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 Meirav Arieli‐Attali. Meirav Arieli‐Attali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 23 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Expanding the "CBAL"™ Mathematics Assessments to Elementary Grades: The Development of a Competency Model and a Rational Number Learning Progression. Research Report. ETS RR-14-08. | 4 |
| 13 | 268 | |
| 14 | 8 |
About Meirav Arieli‐Attali
Meirav Arieli‐Attali is a scholar working on Computer Science Applications, Statistics and Probability and Modeling and Simulation, having authored 14 papers that have together received 361 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (4 papers), Mathematics Education and Teaching Techniques (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Science Applications (110 citations), Developmental and Educational Psychology (242 citations) and Human-Computer Interaction (37 citations). Meirav Arieli‐Attali has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Yigal Attali, Jay Thomas, Alina A. von Davier, Vanessa R. Simmering, Lu Ou, David V. Budescu, Peter W. van Rijn, Ying Liu, Maria Bolsinova and Masato Hagiwara. Their work appears in journals such as Computers & Education, Frontiers in Psychology and Multivariate Behavioral Research.
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.