Priya Silverstein

467 citations
18 papers · 148 · h-index 7

Impact in

Papers in

Priya Silverstein

15 papers receiving 146 citations

Peers

Priya Silverstein
Comparison fields: 5 of 50
  • Statistics, Probability and Uncertainty 35
  • Developmental and Educational Psychology 40
  • Statistics and Probability 19
  • Information Systems and Management 15
  • Cognitive Neuroscience 25
Replace Esther Maassen with:
Esther Maassen Netherlands
Cody D. Christopherson United States
Bronson Hui United States
Loukia Tzavella United Kingdom
Alexa Ellis United States
Luke Jones United Kingdom
Scott Sterling United States
Mitchell Robinson United States
David Ma Mehler Germany
Miguel Alejandro A. Silan France
Priya Silverstein relative to Esther Maassen Netherlands Esther Maassen's profile →
Citations per field
00.5×3.6×
Esther Maassen · 1×
Citations per year

Countries citing papers authored by Priya Silverstein

Since Specialization
Citations

This map shows the geographic impact of Priya Silverstein'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 Priya Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Silverstein more than expected).

Fields of papers citing papers by Priya Silverstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priya Silverstein. 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 Priya Silverstein. The network helps show where Priya Silverstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Priya Silverstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Priya Silverstein Line = papers co-authored together Priya Silverstein links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202167
2 202313
3 202310
4 202110
5 20249
6 20199
7 20237
8 20206
9 20225
10 20205
11 20193
12 20241
13 20241
14 20251
15 20171
16 20250
17 20240
18 20240

About Priya Silverstein

Priya Silverstein is a scholar working on Developmental and Educational Psychology, Information Systems and Management, Cognitive Neuroscience, Education and Statistics and Probability, having authored 18 papers that have together received 148 indexed citations. Recurring topics across this work include Child and Animal Learning Development (7 papers), Language Development and Disorders (5 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Spatial Cognition and Navigation (2 papers), Hearing Impairment and Communication (2 papers), Scientific Computing and Data Management (2 papers), Research Data Management Practices (2 papers) and Child Development and Digital Technology (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (35 citations), Developmental and Educational Psychology (40 citations), Statistics and Probability (19 citations), Information Systems and Management (15 citations) and Cognitive Neuroscience (25 citations). Priya Silverstein has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Moin Syed, Ummul‐Kiram Kathawalla, Gert Westermann, Eugenio Parise, Emily K. Farran, Camilla Gilmore, Katie Anne Gilligan-Lee, Katherine E. Twomey, Teodora Gliga and Marina Bazhydai. Their work appears in journals such as Developmental Science, Collabra Psychology, Cognitive Neuropsychology, Open Mind and British Journal of Psychology.

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.

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