Takehiko Maruyama

454 total citations
16 papers, 246 citations indexed

About

Takehiko Maruyama is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Language and Linguistics. According to data from OpenAlex, Takehiko Maruyama has authored 16 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Experimental and Cognitive Psychology and 3 papers in Language and Linguistics. Recurrent topics in Takehiko Maruyama's work include Natural Language Processing Techniques (9 papers), Speech and dialogue systems (7 papers) and Topic Modeling (7 papers). Takehiko Maruyama is often cited by papers focused on Natural Language Processing Techniques (9 papers), Speech and dialogue systems (7 papers) and Topic Modeling (7 papers). Takehiko Maruyama collaborates with scholars based in Japan and France. Takehiko Maruyama's co-authors include Hanae Koiso, Yasuharu Den, Kikuo Maekawa, Wakako Kashino, Toshinobu Ogiso, Makoto Yamazaki, Jonathan Ginzburg, Ye Tian, Hideki Kashioka and Hideki Tanaka and has published in prestigious journals such as Language Resources and Evaluation, Journal of Psycholinguistic Research and Advanced Robotics.

In The Last Decade

Takehiko Maruyama

14 papers receiving 232 citations

Peers

Takehiko Maruyama
Arne Zeschel Germany
Iwan de Kok Netherlands
Ruud Koolen Netherlands
Arne Zeschel Germany
Takehiko Maruyama
Citations per year, relative to Takehiko Maruyama Takehiko Maruyama (= 1×) peers Arne Zeschel

Countries citing papers authored by Takehiko Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Takehiko Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiko Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiko Maruyama. A scholar is included among the top collaborators of Takehiko Maruyama 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 Takehiko Maruyama. Takehiko Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Tian, Ye, Takehiko Maruyama, & Jonathan Ginzburg. (2016). Self Addressed Questions and Filled Pauses: A Cross-linguistic Investigation. Journal of Psycholinguistic Research. 46(4). 905–922. 13 indexed citations
3.
Maruyama, Takehiko, Jonathan Ginzburg, & Ye Tian. (2016). Filled Pauses and Self Addressed Questions. Journal of Psycholinguistic Research. 1 indexed citations
4.
Asahara, Masayuki, Sachi Kato, Kikuo Maekawa, et al.. (2015). Correction of Sentence Boundaries in the Balanced Corpus of Contemporary Written Japanese DVD Version 1.0. Medical Entomology and Zoology. 9. 81–100. 1 indexed citations
5.
Silber‐Varod, Vered & Takehiko Maruyama. (2013). The linguistic role of hesitation disfluencies: evidence from Hebrew and Japanese.. 67–70.
6.
Maekawa, Kikuo, Makoto Yamazaki, Toshinobu Ogiso, et al.. (2013). Balanced corpus of contemporary written Japanese. Language Resources and Evaluation. 48(2). 345–371. 160 indexed citations
7.
Maruyama, Takehiko. (2013). Analysis of parenthetical clauses in spontaneous Japanese.. 45–48. 1 indexed citations
8.
Maekawa, Kikuo, Makoto Yamazaki, Takehiko Maruyama, et al.. (2010). Design, Compilation, and Preliminary Analyses of Balanced Corpus of Contemporary Written Japanese. Language Resources and Evaluation. 20 indexed citations
9.
Den, Yasuharu, et al.. (2010). Two-level Annotation of Utterance-units in Japanese Dialogs: An Empirically Emerged Scheme.. Language Resources and Evaluation. 10 indexed citations
10.
Iwase, Masami, et al.. (2009). Control Strategy for a Snake-Like Robot Based on Constraint Force and Verification by Experiment. Advanced Robotics. 23(7-8). 907–937. 14 indexed citations
11.
Matsubara, Shigeki, et al.. (2007). Dependency parsing of Japanese monologue using clause boundaries. Computers and the Humanities. 40(3-4). 263–279. 2 indexed citations
12.
Uchimoto, Kiyotaka, et al.. (2006). Dependency-structure Annotation to Corpus of Spontaneous Japanese. Language Resources and Evaluation. 635–638. 4 indexed citations
13.
Matsubara, Shigeki, et al.. (2006). Dependency parsing of Japanese spoken monologue based on clause boundaries. 169–176. 4 indexed citations
14.
Maruyama, Takehiko, et al.. (2004). Development and Evaluation of Japanese Clause Boundaries Annotation Program. Journal of Natural Language Processing. 11(3). 39–68. 13 indexed citations
15.
Kashioka, Hideki, Takehiko Maruyama, & Hideki Tanaka. (2003). Building a parallel corpus for monologues with clause alignment.. 1 indexed citations
16.
Tanaka, Hideki, et al.. (2002). Speech to speech translation system for monologues-data driven approach. 1717–1720. 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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