Emiko J. Muraki

594 total citations
24 papers, 264 citations indexed

About

Emiko J. Muraki is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Emiko J. Muraki has authored 24 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Social Psychology, 15 papers in Experimental and Cognitive Psychology and 12 papers in Cognitive Neuroscience. Recurrent topics in Emiko J. Muraki's work include Action Observation and Synchronization (18 papers), Language, Metaphor, and Cognition (13 papers) and Child and Animal Learning Development (8 papers). Emiko J. Muraki is often cited by papers focused on Action Observation and Synchronization (18 papers), Language, Metaphor, and Cognition (13 papers) and Child and Animal Learning Development (8 papers). Emiko J. Muraki collaborates with scholars based in Canada, United Kingdom and United States. Emiko J. Muraki's co-authors include Penny M. Pexman, David M. Sidhu, Melvin J. Yap, Paul D. Siakaluk, Laura J. Speed, Andrea B. Protzner, Filomeno Cortese, Stephan F. Dahm, Richard J. Binney and Cosimo Tuena and has published in prestigious journals such as Cognition, Neuropsychologia and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Emiko J. Muraki

21 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emiko J. Muraki Canada 10 160 146 135 107 24 24 264
Michele Wellsby Canada 7 150 0.9× 140 1.0× 142 1.1× 173 1.6× 31 1.3× 8 311
David Schmidtke Germany 7 110 0.7× 127 0.9× 225 1.7× 48 0.4× 34 1.4× 10 314
Raphaël Fargier Switzerland 11 130 0.8× 246 1.7× 94 0.7× 124 1.2× 19 0.8× 21 314
Antonio Román Spain 8 127 0.8× 102 0.7× 291 2.2× 70 0.7× 16 0.7× 13 396
Stephanie A. Kazanas United States 8 73 0.5× 182 1.2× 139 1.0× 87 0.8× 8 0.3× 12 270
Arash Aryani Germany 11 127 0.8× 179 1.2× 271 2.0× 49 0.5× 39 1.6× 15 361
Ana Costa Portugal 9 52 0.3× 167 1.1× 109 0.8× 149 1.4× 48 2.0× 10 297
Francesco Ianì Italy 9 179 1.1× 137 0.9× 68 0.5× 137 1.3× 7 0.3× 28 258
Yaxuan Meng Macao 10 56 0.3× 182 1.2× 152 1.1× 94 0.9× 9 0.4× 18 293
Margaux Gelin France 8 67 0.4× 235 1.6× 73 0.5× 201 1.9× 14 0.6× 12 303

Countries citing papers authored by Emiko J. Muraki

Since Specialization
Citations

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

Fields of papers citing papers by Emiko J. Muraki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emiko J. Muraki. 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 Emiko J. Muraki. The network helps show where Emiko J. Muraki may publish in the future.

Co-authorship network of co-authors of Emiko J. Muraki

This figure shows the co-authorship network connecting the top 25 collaborators of Emiko J. Muraki. A scholar is included among the top collaborators of Emiko J. Muraki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emiko J. Muraki. Emiko J. Muraki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Muraki, Emiko J. & Penny M. Pexman. (2025). Simulation in the ‘Blind’ mind: Examining unconscious mental imagery in aphantasia. Neuropsychologia. 217. 109218–109218. 1 indexed citations
2.
Muraki, Emiko J., et al.. (2025). Contrasting the organization of concrete and abstract word meanings. Psychonomic Bulletin & Review. 32(4). 1814–1826.
3.
Bischetti, Luca, et al.. (2024). Understanding with the body? Testing the role of verb relative embodiment across tasks at the interface of language and memory. Journal of Memory and Language. 140. 104566–104566. 4 indexed citations
4.
Muraki, Emiko J. & Penny M. Pexman. (2024). Unseen but influential associates: Properties of words’ associates influence lexical and semantic processing. Psychonomic Bulletin & Review. 31(5). 2257–2265.
5.
Muraki, Emiko J., et al.. (2024). Socialness effects in lexical–semantic processing.. Journal of Experimental Psychology Learning Memory and Cognition. 50(8). 1329–1343. 7 indexed citations
6.
Muraki, Emiko J. & Penny M. Pexman. (2024). Incorporating individual differences into a mechanistic embodied cognitive neuroscience. Cognitive Neuroscience. 15(3-4). 117–118. 2 indexed citations
7.
Muraki, Emiko J., et al.. (2024). Mapping semantic space: Exploring the higher-order structure of word meaning. Cognition. 248. 105794–105794. 7 indexed citations
8.
Muraki, Emiko J. & Penny M. Pexman. (2024). The role of emotion in acquisition of verb meaning. Cognition & Emotion. 39(7). 1457–1464. 2 indexed citations
9.
Muraki, Emiko J., Stephan F. Dahm, & Penny M. Pexman. (2023). Meaning in hand: Investigating shared mechanisms of motor imagery and sensorimotor simulation in language processing. Cognition. 240. 105589–105589. 7 indexed citations
10.
Ibáñez, Agustín, Katharina Kühne, Elisa Lo Monaco, et al.. (2023). Ecological Meanings: A Consensus Paper on Individual Differences and Contextual Influences in Embodied Language. Journal of Cognition. 6(1). 59–59. 20 indexed citations
11.
Muraki, Emiko J., et al.. (2023). Context matters: How do task demands modulate the recruitment of sensorimotor information during language processing?. Frontiers in Human Neuroscience. 16. 976954–976954. 6 indexed citations
12.
Muraki, Emiko J., et al.. (2023). The Development of Abstract Word Meanings. Journal of Child Language. 52(1). 195–207. 2 indexed citations
13.
Muraki, Emiko J., et al.. (2022). Concreteness ratings for 62,000 English multiword expressions. Behavior Research Methods. 55(5). 2522–2531. 10 indexed citations
14.
Muraki, Emiko J., et al.. (2022). Quantifying children’s sensorimotor experience: Child body–object interaction ratings for 3359 English words. Behavior Research Methods. 54(6). 2864–2877. 11 indexed citations
15.
Muraki, Emiko J. & Penny M. Pexman. (2021). Simulating semantics: Are individual differences in motor imagery related to sensorimotor effects in language processing?. Journal of Experimental Psychology Learning Memory and Cognition. 47(12). 1939–1957. 13 indexed citations
16.
Muraki, Emiko J., et al.. (2021). Development of Abstract Word Knowledge. Frontiers in Psychology. 12. 686478–686478. 18 indexed citations
17.
Muraki, Emiko J., Filomeno Cortese, Andrea B. Protzner, & Penny M. Pexman. (2020). Heterogeneity in abstract verbs: An ERP study. Brain and Language. 211. 104863–104863. 19 indexed citations
18.
Muraki, Emiko J., David M. Sidhu, & Penny M. Pexman. (2020). Heterogenous abstract concepts: is “ponder” different from “dissolve”?. Psychological Research. 86(8). 2478–2494. 23 indexed citations
19.
Muraki, Emiko J., David M. Sidhu, & Penny M. Pexman. (2019). Mapping semantic space: property norms and semantic richness. Cognitive Processing. 21(4). 637–649. 14 indexed citations
20.
Pexman, Penny M., Emiko J. Muraki, David M. Sidhu, Paul D. Siakaluk, & Melvin J. Yap. (2018). Quantifying sensorimotor experience: Body–object interaction ratings for more than 9,000 English words. Behavior Research Methods. 51(2). 453–466. 62 indexed citations

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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