Yuta Taniguchi

517 total citations
54 papers, 311 citations indexed

About

Yuta Taniguchi is a scholar working on Computer Science Applications, Artificial Intelligence and Education. According to data from OpenAlex, Yuta Taniguchi has authored 54 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Science Applications, 14 papers in Artificial Intelligence and 13 papers in Education. Recurrent topics in Yuta Taniguchi's work include Online Learning and Analytics (17 papers), Online and Blended Learning (11 papers) and Innovative Teaching and Learning Methods (9 papers). Yuta Taniguchi is often cited by papers focused on Online Learning and Analytics (17 papers), Online and Blended Learning (11 papers) and Innovative Teaching and Learning Methods (9 papers). Yuta Taniguchi collaborates with scholars based in Japan, Germany and United Kingdom. Yuta Taniguchi's co-authors include Shin’ichi Konomi, Atsushi Shimada, Fumiya Okubo, Hiroaki Ogata, Masanori Yamada, Yoshiko Goda, Misato Oi, Tsubasa Minematsu, Kôji Hayashi and Kōichi Inoue and has published in prestigious journals such as IEEE Access, Sustainability and Japanese Journal of Applied Physics.

In The Last Decade

Yuta Taniguchi

47 papers receiving 299 citations

Peers

Yuta Taniguchi
Comparison fields: 5 of 79
  • Computer Science Applications 122
  • Education 79
  • Artificial Intelligence 64
  • Developmental and Educational Psychology 62
  • Information Systems 57
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Citations per field, relative to Yuta Taniguchi
Yuta Taniguchi · 1×
Citations per year, relative to Yuta Taniguchi
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Countries citing papers authored by Yuta Taniguchi

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Taniguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Taniguchi. A scholar is included among the top collaborators of Yuta Taniguchi 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 Yuta Taniguchi. Yuta Taniguchi 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
# Work Indexed citations
1 0
2 1
3 0
4 3
5 3
6 6
7 3
8 17
9 4
10
Composing learning environments with e-textbook system
1
11
Course Recommendation for University Environments.
7
12
Recommending Highlights on Students’ E-Textbooks
2
13 0
14 5
15
Br-MAP: Concept map system using e-book logs
8
16 3
17
Exploring students' learning journals with web-based interactive report tool
1
18
Open Data in Education
1
19 5
20 8

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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