Emily R. Fyfe

2.6k citations
59 papers · 1.8k indexed · h-index 25

Emily R. Fyfe

53 papers receiving 1.7k citations

Peers

Emily R. Fyfe
Comparison fields: 5 of 83
  • Statistics and Probability 856
  • Developmental and Educational Psychology 900
  • Education 1.2k
  • Experimental and Cognitive Psychology 384
  • Computer Science Applications 112
Replace Minna Hannula‐Sormunen with:
Minna Hannula‐Sormunen Finland
Joke Torbeyns Belgium
Victoria R. Jacobs United States
Michael Mitchelmore Australia
Nicole M. McNeil United States
Florence Gabriel Australia
Tom Lowrie Australia
Chaitanya Ramineni United States
Eric Knuth United States
Роза Лейкин Israel
Emily R. Fyfe relative to Minna Hannula‐Sormunen Finland Minna Hannula‐Sormunen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Emily R. Fyfe

Since Specialization
Citations

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

Fields of papers citing papers by Emily R. Fyfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily R. Fyfe. 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 Emily R. Fyfe. The network helps show where Emily R. Fyfe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Emily R. Fyfe, 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 Emily R. Fyfe Line = papers co-authored together Emily R. Fyfe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20240
6 20240
7 20244
8 20241
9 20231
10 20239
11 20227
12 20228
13 202110
14
Task Expectations Influence Learning from Feedback.
20182
15 201814
16
The Promise and Pitfalls of Making Connections in Mathematics.
20171
17 201639
18
Early Math Trajectories: Low-Income Children's Mathematics Knowledge from Age 4 to 11.
20164
19 201580
20
The Timing of Feedback on Mathematics Problem Solving in a Classroom Setting.
20151

About Emily R. Fyfe

Emily R. Fyfe is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (32 papers), Mathematics Education and Teaching Techniques (27 papers), Innovative Teaching and Learning Methods (24 papers), Visual and Cognitive Learning Processes (14 papers), Child and Animal Learning Development (9 papers), Science Education and Pedagogy (6 papers), Reading and Literacy Development (6 papers) and Education, Achievement, and Giftedness (6 papers). The work is most often cited by research in Statistics and Probability (856 citations), Developmental and Educational Psychology (900 citations) and Education (1.2k citations). Emily R. Fyfe has collaborated with scholars based in United States, South Sudan and Netherlands. Frequent co-authors include Bethany Rittle‐Johnson, Nicole M. McNeil, Marci S. DeCaro, Abbey M. Loehr, Robert L. Goldstone, Ji Y. Son, Dale C. Farran, Michael R. Miller, Kerry G. Hofer and Mitchell J. Nathan. Their work appears in journals such as Child Development, Journal of Educational Psychology and Computers in Human Behavior.

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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