Hiromu Sakai

476 total citations
27 papers, 249 citations indexed

About

Hiromu Sakai is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Hiromu Sakai has authored 27 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Artificial Intelligence and 8 papers in Developmental and Educational Psychology. Recurrent topics in Hiromu Sakai's work include Neurobiology of Language and Bilingualism (11 papers), Natural Language Processing Techniques (8 papers) and Reading and Literacy Development (6 papers). Hiromu Sakai is often cited by papers focused on Neurobiology of Language and Bilingualism (11 papers), Natural Language Processing Techniques (8 papers) and Reading and Literacy Development (6 papers). Hiromu Sakai collaborates with scholars based in Japan, United States and Germany. Hiromu Sakai's co-authors include Naoki Fukui, Katsuo Tamaoka, Jun‐ichiro Kawahara, Hyunjung Lim, Masatoshi Koizumi, Aine Ito, Kuniyoshi L. Sakai, Junichi Tanaka, Michiru Makuuchi and Rinus G. Verdonschot and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Brain Research.

In The Last Decade

Hiromu Sakai

21 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiromu Sakai Japan 8 150 116 86 77 76 27 249
Hiroko Yamashita Japan 7 186 1.2× 218 1.9× 112 1.3× 165 2.1× 80 1.1× 14 341
Kazuko Yatsushiro Germany 10 164 1.1× 102 0.9× 89 1.0× 112 1.5× 60 0.8× 19 270
Johan Frid Sweden 8 52 0.3× 88 0.8× 77 0.9× 93 1.2× 128 1.7× 54 252
Jana Häussler Germany 7 145 1.0× 103 0.9× 70 0.8× 52 0.7× 59 0.8× 13 211
Ken Ramshøj Christensen Denmark 11 123 0.8× 144 1.2× 57 0.7× 98 1.3× 59 0.8× 23 248
Maria Babyonyshev United States 7 106 0.7× 80 0.7× 49 0.6× 134 1.7× 38 0.5× 13 210
Heiner Drenhaus Germany 10 96 0.6× 181 1.6× 76 0.9× 123 1.6× 76 1.0× 24 260
Elif Bamyacı Germany 5 101 0.7× 95 0.8× 31 0.4× 80 1.0× 37 0.5× 8 181
Ming Xiang United States 10 77 0.5× 190 1.6× 57 0.7× 87 1.1× 100 1.3× 20 247
Jesse Harris United States 8 135 0.9× 75 0.6× 65 0.8× 59 0.8× 71 0.9× 30 220

Countries citing papers authored by Hiromu Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Hiromu Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromu Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromu Sakai. A scholar is included among the top collaborators of Hiromu Sakai 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 Hiromu Sakai. Hiromu Sakai 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.
Tsunematsu, Shoji, et al.. (2024). Superconducting Self-Shielded and Zero-Boil-Off Magnetoencephalogram Systems: A Dry Phantom Evaluation. Sensors. 24(18). 6044–6044. 2 indexed citations
2.
Nakamura, Masanobu, et al.. (2024). Task and Timing Effects in Argument Role Sensitivity: Evidence From Production, EEG, and Computational Modeling. Cognitive Science. 48(12). e70023–e70023. 1 indexed citations
3.
Sakai, Hiromu, et al.. (2023). Neural underpinnings of processing combinatorial unstated meaning and the influence of individual cognitive style. Cerebral Cortex. 33(18). 10013–10027. 2 indexed citations
4.
5.
Ito, Aine & Hiromu Sakai. (2021). Everyday Language Exposure Shapes Prediction of Specific Words in Listening Comprehension: A Visual World Eye-Tracking Study. Frontiers in Psychology. 12. 607474–607474. 12 indexed citations
6.
Hestvik, Arild, et al.. (2020). Abstractness of human speech sound representations. Brain Research. 1732. 146664–146664. 7 indexed citations
7.
Sakai, Hiromu, et al.. (2020). A neurolinguistic investigation into semantic differences of evidentiality and modality. Movebank. 24(1). 273–290.
8.
Igoa, José Manuel, et al.. (2018). The Interplay of Relational and Non-relational Processes in Sentence Production: The Case of Relative Clause Planning in Japanese and Spanish. Frontiers in Psychology. 9. 1573–1573. 1 indexed citations
9.
Sakai, Hiromu, et al.. (2014). Computation for syntactic dependency at language-culture interface: A view from Japanese honorific processing. International Journal of Psychophysiology. 94(2). 179–179. 1 indexed citations
10.
Sato, Manami, et al.. (2012). Towards a cognitive science of literary style: Perspective-taking in processing omniscient versus objective voice. eScholarship (California Digital Library). 34(34). 3 indexed citations
11.
Tamaoka, Katsuo, et al.. (2011). Effects of Word Order Alternation on the Sentence Processing of Sinhalese Written and Spoken Forms. Open Journal of Modern Linguistics. 1(2). 24–32. 16 indexed citations
12.
Sakai, Hiromu, et al.. (2009). RETHINKING FUNCTIONAL PARAMETRIZATION: A VIEW FROM HONORIFICATION IN THE NOMINAL DOMAIN IN JAPANESE. ENGLISH LINGUISTICS. 26(2). 437–459. 2 indexed citations
13.
Sakai, Hiromu, et al.. (2008). Syntax in a native language still continues to develop in adults: Honorification judgment in Japanese. Brain and Language. 107(1). 81–89. 15 indexed citations
14.
Sakai, Hiromu, et al.. (2007). Honorification and light verbs in Japanese. Journal of East Asian Linguistics. 16(3). 171–191. 13 indexed citations
15.
Tanaka, Junichi, Katsuo Tamaoka, & Hiromu Sakai. (2007). Syntactic Priming Effects on the Processing of Japanese Sentences with Canonical and Scrambled Word Orders. 14(2). 173–191. 6 indexed citations
16.
Tamaoka, Katsuo, et al.. (2005). Priority Information Used for the Processing of Japanese Sentences: Thematic Roles, Case Particles or Grammatical Functions?. Journal of Psycholinguistic Research. 34(3). 281–332. 48 indexed citations
17.
Tamaoka, Katsuo, et al.. (2005). Predicting Attachment of the Light Verb –suru to Japanese Two-kanji Compound Words Using Four Aspects. Hiroshima University Acedemic Information Repository (Hiroshima University). 10. 73–81. 2 indexed citations
18.
Fukui, Naoki & Hiromu Sakai. (2003). The visibility guideline for functional categories: verb raising in Japanese and related issues. Lingua. 113(4-6). 321–375. 92 indexed citations
19.
Tamaoka, Katsuo, et al.. (2003). The Effects of Phrase-Length Order and Scrambling in the Processing of Visually Presented Japanese Sentences. Journal of Psycholinguistic Research. 32(4). 431–454. 15 indexed citations
20.
Sakai, Hiromu. (1997). Derivational uniformity : A study of syntactic derivation in parametric setting. Medical Entomology and Zoology. 1 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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