Danielle S. Dickson

416 citations
15 papers · 259 · h-index 8

Impact in

Papers in

Danielle S. Dickson

14 papers receiving 254 citations

Peers

Danielle S. Dickson
Comparison fields: 5 of 55
  • Developmental and Educational Psychology 115
  • Cognitive Neuroscience 163
  • Statistics and Probability 58
  • Reproductive Medicine 35
  • Experimental and Cognitive Psychology 37
Replace L. Collet with:
L. Collet France
Chunjie Wang China
Rebecca A. Marks United States
Sophia Vinci‐Booher United States
Yixun Li China
Nicole L. Varga United States
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Angie Su United States
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Citations per field
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Citations per year

Countries citing papers authored by Danielle S. Dickson

Since Specialization
Citations

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

Fields of papers citing papers by Danielle S. Dickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle S. Dickson. 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 Danielle S. Dickson. The network helps show where Danielle S. Dickson may publish in the future.

Co-authors

The 22 scholars most cited alongside Danielle S. Dickson, 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 Danielle S. Dickson Line = papers co-authored together Danielle S. Dickson links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201682
2 201753
3 201436
4 201717
5 201817
6 201915
7 201411
8 20208
9 20206
10
WIP: Assessing creativity of alternative uses task responses: A detailed procedure
20204
11 20223
12 20223
13 20183
14 20201
15 20240

About Danielle S. Dickson

Danielle S. Dickson is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics and Probability and Education, having authored 15 papers that have together received 259 indexed citations. Recurring topics across this work include Reading and Literacy Development (8 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Creativity in Education and Neuroscience (4 papers), Mathematics Education and Teaching Techniques (3 papers), Neurobiology of Language and Bilingualism (3 papers), Education, Achievement, and Giftedness (2 papers), Multisensory perception and integration (2 papers) and Neuroscience, Education and Cognitive Function (2 papers). The work is most often cited by research in Developmental and Educational Psychology (115 citations), Cognitive Neuroscience (163 citations), Statistics and Probability (58 citations), Reproductive Medicine (35 citations) and Experimental and Cognitive Psychology (37 citations). Danielle S. Dickson has collaborated with scholars based in United States and Poland. Frequent co-authors include Kara D. Federmeier, Joost Rommers, James J. S. Norton, Edward W. Wlotko, Nicole Y.Y. Wicha, Simon Fischer‐Baum, Kirsten B. Moysich, Tiffany R. Emmons, Brahm H. Segal and Kunle Odunsi. Their work appears in journals such as Neuropsychologia, Language Cognition and Neuroscience, Developmental Cognitive Neuroscience, Brain Research and Biological 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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