Emily Mather

556 citations
16 papers · 359 · h-index 10

Impact in

Papers in

Emily Mather

15 papers receiving 345 citations

Peers

Emily Mather
Comparison fields: 5 of 42
  • Developmental and Educational Psychology 306
  • Experimental and Cognitive Psychology 71
  • Cognitive Neuroscience 85
  • General Decision Sciences 4
  • Cultural Studies 14
Replace Katherine E. Twomey with:
Katherine E. Twomey United Kingdom
Dóra Kampis Denmark
Martin Zettersten United States
Jon‐Fan Hu Taiwan
Jill Lany United States
Viridiana L. Benitez United States
Pia Thomsen Denmark
Etsuko Haryu Japan
Graham Schafer United Kingdom
Emily Mather relative to Katherine E. Twomey United Kingdom Katherine E. Twomey's profile →
Citations per field
00.5×1.5×
Katherine E. Twomey · 1×
Citations per year

Countries citing papers authored by Emily Mather

Since Specialization
Citations

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

Fields of papers citing papers by Emily Mather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Emily Mather, 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 Mather Line = papers co-authored together Emily Mather links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200789
2 200952
3 201243
4 201342
5 200938
6 201022
7 201118
8 201013
9 201611
10 20139
11 20139
12 20157
13 20163
14
Familiarity and novelty preferences for visual stimuli in the second year of life: initial findings and new directions [poster]
20052
15 20221
16
Lexical Priming without Similarity or Association
20110

About Emily Mather

Emily Mather is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Management Science and Operations Research and Economics and Econometrics, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Child and Animal Learning Development (13 papers), Language Development and Disorders (11 papers), Reading and Literacy Development (8 papers), Hearing Impairment and Communication (4 papers), Language, Metaphor, and Cognition (2 papers), Psychometric Methodologies and Testing (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Developmental and Educational Psychology (306 citations), Experimental and Cognitive Psychology (71 citations), Cognitive Neuroscience (85 citations), General Decision Sciences (4 citations) and Cultural Studies (14 citations). Emily Mather has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Kim Plunkett, Carmel Houston‐Price, Elena Sakkalou, Kevin J. Riggs, Graham Schafer, Lara L. Jones, Andrew Simpson, Zachary Estes, Grace M. Hyde and Shane Lindsay. Their work appears in journals such as Frontiers in Psychology, Cognitive Science, Journal of Experimental Child Psychology, Journal of Child Language and Journal of Memory and Language.

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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