Naomi Caselli

2.0k citations
30 papers · 848 · h-index 16

Impact in

Papers in

Naomi Caselli

28 papers receiving 828 citations

Peers

Naomi Caselli
Comparison fields: 5 of 59
  • Human-Computer Interaction 374
  • Developmental and Educational Psychology 667
  • Experimental and Cognitive Psychology 195
  • Language and Linguistics 157
  • Cognitive Neuroscience 233
Replace Richard P. Meier with:
Richard P. Meier United States
Jacqueline Leybaert Belgium
Elena T. Levy United States
Ronald R. Kelly United States
Nobuhiro Furuyama Japan
Cynthia Butcher United States
David Peeters Netherlands
Kathryn Hirsh‐Pasek United States
Manuela Macedonia Germany
Robin L. Thompson United Kingdom
Naomi Caselli relative to Richard P. Meier United States Richard P. Meier's profile →
Citations per field
00.5×3.9×
Richard P. Meier · 1×
Citations per year

Countries citing papers authored by Naomi Caselli

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Caselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019173
2 2016151
3 201761
4 202158
5 202157
6 201932
7 201430
8 202030
9 202030
10 202127
11 202323
12 202023
13 202023
14 201522
15 202022
16 202120
17 202114
18 202213
19 202310
20 20246

About Naomi Caselli

Naomi Caselli is a scholar working on Developmental and Educational Psychology, Human-Computer Interaction, Cognitive Neuroscience, Experimental and Cognitive Psychology and Language and Linguistics, having authored 30 papers that have together received 848 indexed citations. Recurring topics across this work include Hearing Impairment and Communication (26 papers), Hand Gesture Recognition Systems (17 papers), Tactile and Sensory Interactions (6 papers), Language, Metaphor, and Cognition (4 papers), Language Development and Disorders (3 papers), Syntax, Semantics, Linguistic Variation (2 papers), Assistive Technology in Communication and Mobility (2 papers) and Action Observation and Synchronization (2 papers). The work is most often cited by research in Human-Computer Interaction (374 citations), Developmental and Educational Psychology (667 citations), Experimental and Cognitive Psychology (195 citations), Language and Linguistics (157 citations) and Cognitive Neuroscience (233 citations). Naomi Caselli has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Jennie Pyers, Wyatte C. Hall, Ariel M. Cohen-Goldberg, Matthew L. Hall, Karen Emmorey, Zed Sevcikova Sehyr, Amy M. Lieberman, Danielle Bragg, William Thies and Oscar Koller. Their work appears in journals such as Frontiers in Psychology, Language Acquisition, Behavior Research Methods, Nature Communications and The Journal of Pediatrics.

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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