Toru Nakata

406 total citations
27 papers, 277 citations indexed

About

Toru Nakata is a scholar working on Artificial Intelligence, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Toru Nakata has authored 27 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Social Psychology and 8 papers in Control and Systems Engineering. Recurrent topics in Toru Nakata's work include Social Robot Interaction and HRI (9 papers), Human Pose and Action Recognition (4 papers) and Reinforcement Learning in Robotics (4 papers). Toru Nakata is often cited by papers focused on Social Robot Interaction and HRI (9 papers), Human Pose and Action Recognition (4 papers) and Reinforcement Learning in Robotics (4 papers). Toru Nakata collaborates with scholars based in Japan, Sri Lanka and Mexico. Toru Nakata's co-authors include Tomomasa Sato, Taketoshi Mori, Hiroshi Mizoguchi, T. Sato, Tae‐Sung Ko, Mohammad Golam Sohrab, Makoto Miwa, Yutaka Sasaki, Toshihiro Matsui and Yoshimasa Tsuruoka and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Robotics and Mechatronics and Computación y Sistemas.

In The Last Decade

Toru Nakata

22 papers receiving 249 citations

Peers

Toru Nakata
Comparison fields: 5 of 56
  • Social Psychology 124
  • Control and Systems Engineering 116
  • Computer Vision and Pattern Recognition 100
  • Artificial Intelligence 58
  • Human-Computer Interaction 40
Replace Takeshi Maeda with:
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Takeshi Maeda Japan View profile →
Citations per field, relative to Toru Nakata
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Citations per year, relative to Toru Nakata
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Countries citing papers authored by Toru Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Toru Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Nakata. A scholar is included among the top collaborators of Toru Nakata 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 Toru Nakata. Toru Nakata 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 0
3 0
4
Graph Representation for Synthesis Process Extraction from Inorganic Material Literature
1
5 3
6 0
7 1
8 4
9 2
10 2
11 4
12 10
13 4
14 68
15
Generation of Whole-Body Expressive Movement Based on Somatical Theories
2
16 2
17 6
18 34
19 13
20
Counting Effective Number of Buttons: An Informational Analysis of Input Device Performance
1

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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