Sharon Naparstek
- Cognitive Neuroscience top 10%
- Statistics and Probability top 5%
- Developmental and Educational Psychology top 10%
- Education top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Avishai HenikOrly RubinstenTali LeibovichEyal KalanthroffAmit EtkinRussell TollOren Lev‐RanEmmanuel Shpigel
- Topics
- Cognitive and developmental aspects of mathematical skills (10 papers)Mathematics Education and Teaching Techniques (5 papers)Visual perception and processing mechanisms (2 papers)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Sharon Naparstek
18 papers receiving 251 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 128
- Statistics and Probability 108
- Developmental and Educational Psychology 63
- Education 62
- Experimental and Cognitive Psychology 44
Countries citing papers authored by Sharon Naparstek
This map shows the geographic impact of Sharon Naparstek'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 Sharon Naparstek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Naparstek more than expected).
Fields of papers citing papers by Sharon Naparstek
This network shows the impact of papers produced by Sharon Naparstek. 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 Sharon Naparstek. The network helps show where Sharon Naparstek may publish in the future.
Co-authorship network of co-authors of Sharon Naparstek
This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Naparstek. A scholar is included among the top collaborators of Sharon Naparstek 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 Sharon Naparstek. Sharon Naparstek 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 | 12 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 39 | |
| 9 | 10 | |
| 10 | 35 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 53 | |
| 18 | 4 | |
| 19 | 20 |
About Sharon Naparstek
Sharon Naparstek is a scholar working on Statistics and Probability, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (10 papers), Mathematics Education and Teaching Techniques (5 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Statistics and Probability (108 citations), Cognitive Neuroscience (128 citations) and Developmental Neuroscience (21 citations). Sharon Naparstek has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Avishai Henik, Orly Rubinsten, Tali Leibovich, Eyal Kalanthroff, Amit Etkin, Russell Toll, Oren Lev‐Ran, Emmanuel Shpigel, Gideon Sahar and Yu Zhang. Their work appears in journals such as American Journal of Psychiatry, Biological Psychiatry and Neuroscience.
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.