Futoshi Kobayashi

844 citations
97 papers · 631 indexed · h-index 13
Topics
Robot Manipulation and Learning (25 papers)Tactile and Sensory Interactions (14 papers)Advanced Sensor and Energy Harvesting Materials (13 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONESensors
Partner nations
JapanUnited States

In The Last Decade

Futoshi Kobayashi

90 papers receiving 608 citations

Peers

Futoshi Kobayashi
Comparison fields: 5 of 111
  • Biomedical Engineering 325
  • Control and Systems Engineering 146
  • Mechanical Engineering 129
  • Mechanics of Materials 110
  • Cognitive Neuroscience 104
Replace Vincenzo Niola with:
Vincenzo Niola Italy
James M. Gilbert United Kingdom
Kan Hong China
Juan Carlos Fraile Spain
Taekyoung Kim South Korea
Luca Massari Italy
Amir Shapiro Israel
C.L. Teo Singapore
Matteo Lancini Italy
Zhaoying Zhou China
Futoshi Kobayashi relative to Vincenzo Niola Italy Vincenzo Niola's profile →
Citations per field
00.5×2.9×
Vincenzo Niola · 1×
Citations per year

Countries citing papers authored by Futoshi Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Futoshi Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Futoshi Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Futoshi Kobayashi. A scholar is included among the top collaborators of Futoshi Kobayashi 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 Futoshi Kobayashi. Futoshi Kobayashi 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
1 2
2 2
3 0
4 1
5 5
6 1
7 39
8 1
9 5
10 8
11 2
12 2
13 3
14
Universal Robot Hand Equipped with Tactile and Joint Torque Sensors: Development and Experiments on Stiffness Control and Object Recognition
10
15 5
16
Re-formation of mobile robots using genetic algorithm and reinforcement learning
11
17 1
18 5
19 18
20 1

About Futoshi Kobayashi

Futoshi Kobayashi is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Biomedical Engineering, having authored 97 papers that have together received 631 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (25 papers), Tactile and Sensory Interactions (14 papers) and Advanced Sensor and Energy Harvesting Materials (13 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Biomedical Engineering (325 citations) and Control and Systems Engineering (146 citations). Futoshi Kobayashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroyuki Nakamoto, Fumio Kojima, Shiro Biwa, Nobutada OHNO, Ichiro Hirata, Mitsunori Tada, F. Kojima, Toshio Fukuda, Hidenori Shirasawa and Tadashi Maeda. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

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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