Nina Simms

550 citations
19 papers · 373 · h-index 10

Impact in

Papers in

Nina Simms

18 papers receiving 356 citations

Peers

Nina Simms
Comparison fields: 5 of 57
  • Developmental and Educational Psychology 213
  • Experimental and Cognitive Psychology 113
  • Statistics and Probability 60
  • Education 149
  • General Psychology 6
Replace Su‐hua Wang with:
Su‐hua Wang United States
Bryan J. Matlen United States
Don Rogers United Kingdom
Stella Christie China
Hubertina Thillmann Germany
Caroline Hornung Luxembourg
Alena G. Esposito United States
Alana Foley United States
Catya von Károlyi United States
Tamara Spiewak Toub United States
Nina Simms relative to Su‐hua Wang United States Su‐hua Wang's profile →
Citations per field
00.5×4.8×
Su‐hua Wang · 1×
Citations per year

Countries citing papers authored by Nina Simms

Since Specialization
Citations

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

Fields of papers citing papers by Nina Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Nina Simms, 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 Nina Simms Line = papers co-authored together Nina Simms links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2015138
2 201757
3 201635
4
Spatial Language and Landmark Use: Can 3-, 4-, and 5-year-olds find the Middle?
200823
5 201922
6 201921
7 201016
8 202014
9 202412
10
Relational Language Helps Children Reason Analogically
200911
11 20179
12 20205
13 20223
14 20113
15
Encoding time and allocation of attention in analogical development
20131
16
Supports for Visual Comparison in STEM textbooks.
20181
17
Spatial alignment supports comparison of life science visuals for 7th graders.
20201
18 20191
19
The Development of Spatial Cognition During Childhood: Extending Understanding of Perception, Memory, Language, Maps, and Gestures
20110

About Nina Simms

Nina Simms is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Automotive Engineering, Education and Statistics and Probability, having authored 19 papers that have together received 373 indexed citations. Recurring topics across this work include Child and Animal Learning Development (10 papers), Spatial Cognition and Navigation (6 papers), Categorization, perception, and language (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Innovative Teaching and Learning Methods (3 papers), Visual and Cognitive Learning Processes (3 papers), Mathematics Education and Teaching Techniques (2 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Developmental and Educational Psychology (213 citations), Experimental and Cognitive Psychology (113 citations), Statistics and Probability (60 citations), Education (149 citations) and General Psychology (6 citations). Nina Simms has collaborated with scholars based in United States, Philippines and China. Frequent co-authors include Lindsey E. Richland, Dedre Gentner, Kreshnik Nasi Begolli, Stephen J. Flusberg, Susan J. Hespos, William J. Gehring, Yuejia Luo, Xiaoqin Mai, Chao Liu and Twila Tardif. Their work appears in journals such as Cognitive Science, Educational Psychology Review, Current Opinion in Behavioral Sciences, Instructional Science and Journal of Intelligence.

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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