Countries citing papers authored by Seiichi Yamamoto
Since
Specialization
Citations
This map shows the geographic impact of Seiichi Yamamoto'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 Seiichi Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Yamamoto more than expected).
Fields of papers citing papers by Seiichi Yamamoto
This network shows the impact of papers produced by Seiichi Yamamoto. 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 Seiichi Yamamoto. The network helps show where Seiichi Yamamoto may publish in the future.
Co-authorship network of co-authors of Seiichi Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Yamamoto.
A scholar is included among the top collaborators of Seiichi Yamamoto 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 Seiichi Yamamoto. Seiichi Yamamoto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yamaguchi, Mitsutaka, Seiichi Yamamoto, Yoshiki Kubota, et al.. (2020). Estimation of Shifts of Therapeutic Carbon-Ion Beams Owing to Cavities in Target by Measuring Prompt X-rays. The Japan Society of Applied Physics.
Wilcock, Graham, Kristiina Jokinen, & Seiichi Yamamoto. (2016). What topic do you want to hear about? : A bilingual talking robot using English and Japanese Wikipedias. Työväentutkimus Vuosikirja. 116–120.5 indexed citations
11.
Yamamoto, Seiichi, et al.. (2016). Quantitative Analysis of Gazes and Grounding Acts in L1 and L2 Conversations.. Language Resources and Evaluation. 4249–4252.1 indexed citations
12.
Yamamoto, Seiichi, et al.. (2016). Joining-in-type humanoid robot assisted language learning system. Language Resources and Evaluation. 245–249.7 indexed citations
13.
Zhang, Jinsong, et al.. (2013). A Study on Perceptual Training of Mandarin Tone 2 and Tone 3 in Japanese Learners (音声). IEICE Technical Report; IEICE Tech. Rep.. 112(422). 7–12.
Nishida, Masafumi, et al.. (2012). Multimodal Corpus of Multi-party Conversations in Second Language. Language Resources and Evaluation. 416–421.7 indexed citations
16.
Hayashi, Katsuhiko, Hajime Tsukada, Katsuhito Sudoh, Kevin Duh, & Seiichi Yamamoto. (2010). Hierarchical Phrase-based Machine Translation with Word-based Reordering Model. International Conference on Computational Linguistics. 439–446.7 indexed citations
Takezawa, Toshiyuki, Eiichiro Sumita, Fumiaki Sugaya, Hirofumi Yamamoto, & Seiichi Yamamoto. (2002). Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World. Language Resources and Evaluation.176 indexed citations
19.
Sugaya, Fumiaki, et al.. (2002). Automatic machine translation selection scheme to output the best result.. Language Resources and Evaluation.2 indexed citations
20.
Yamamoto, Seiichi, et al.. (1982). An adaptive echo canceller with variable step gain method. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 65(1). 1–8.40 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.