Natsuki Yamanobe

1.3k citations
83 papers · 784 indexed · 1 hit paper · h-index 17
Topics
Robot Manipulation and Learning (47 papers)Manufacturing Process and Optimization (24 papers)Robotic Mechanisms and Dynamics (16 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
JapanUnited StatesPoland

In The Last Decade

Natsuki Yamanobe

71 papers receiving 753 citations

Hit Papers

Evaluating quality in human-robot interaction: A systemat...202220262023202420224080120

Peers

Natsuki Yamanobe
Comparison fields: 5 of 88
  • Control and Systems Engineering 478
  • Industrial and Manufacturing Engineering 229
  • Computer Vision and Pattern Recognition 187
  • Biomedical Engineering 176
  • Social Psychology 106
Replace Robin Passama with:
Robin Passama France
Martin Hägele Germany
Gustavo Alfonso Garcia Ricardez Japan
Rasmus Andersen Denmark
Panagiotis Karagiannis Greece
Ixchel G. Ramírez-Alpizar Japan
Juan Pérez-Oria Spain
Enrique Coronado Japan
Stefanos Nikolaidis United States
Junming Fan Hong Kong
Natsuki Yamanobe relative to Robin Passama France Robin Passama's profile →
Citations per field
00.5×1.7×
Robin Passama · 1×
Citations per year

Countries citing papers authored by Natsuki Yamanobe

Since Specialization
Citations

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

Fields of papers citing papers by Natsuki Yamanobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natsuki Yamanobe

This figure shows the co-authorship network connecting the top 25 collaborators of Natsuki Yamanobe. A scholar is included among the top collaborators of Natsuki Yamanobe 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 Natsuki Yamanobe. Natsuki Yamanobe 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
#WorkIndexed citations
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3 23
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10 24
11 1
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About Natsuki Yamanobe

Natsuki Yamanobe is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 83 papers that have together received 784 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (47 papers), Manufacturing Process and Optimization (24 papers) and Robotic Mechanisms and Dynamics (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (229 citations), Control and Systems Engineering (478 citations) and Human-Computer Interaction (72 citations). Natsuki Yamanobe has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Kazuyuki Nagata, Kensuke Harada, Gentiane Venture, Ixchel G. Ramírez-Alpizar, Enrique Coronado, Tokuo Tsuji, Takuya Kiyokawa, Yoshihiro Kawai, Gustavo Alfonso Garcia Ricardez and Akira Nakamura. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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