G. Kinoshita

473 citations
49 papers · 326 indexed · h-index 11
Topics
Robot Manipulation and Learning (13 papers)Tactile and Sensory Interactions (11 papers)Integrated Circuits and Semiconductor Failure Analysis (7 papers)

In The Last Decade

G. Kinoshita

44 papers receiving 302 citations

Peers

G. Kinoshita
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 164
  • Biomedical Engineering 88
  • Control and Systems Engineering 80
  • Cognitive Neuroscience 51
  • Mechanical Engineering 36
Replace Michael B. Cohn with:
Michael B. Cohn United States
Sanho Byun South Korea
Takeshi Tsujimura Japan
Humberto Fernández Álvarez Spain
Xu Gao China
Julián Castellanos-Ramos Spain
Richard Gourdeau Canada
Eun-Seok Choi South Korea
A. B. M. Harun-ur Rashid Bangladesh
Hikaru Sasaki Japan
G. Kinoshita relative to Michael B. Cohn United States Michael B. Cohn's profile →
Citations per field
00.5×2.7×
Michael B. Cohn · 1×
Citations per year

Countries citing papers authored by G. Kinoshita

Since Specialization
Citations

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

Fields of papers citing papers by G. Kinoshita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kinoshita

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kinoshita. A scholar is included among the top collaborators of G. Kinoshita 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 G. Kinoshita. G. Kinoshita 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 0
2 17
3 0
4 4
5 4
6 2
7 1
8
Tactile sensor design and tactile sensing on 3-D objects
10
9 6
10 2
11 8
12 5
13
Island edge effects in CMOS/SOS transistors
2
14 6
15
Pattern classification of the grasped object by the artificial hand
9
16 3
17 6
18 9
19
Pattern recognition by an artificial tactile sense
10
20
A Pattern Classification by the Time-Varying Threshold Method.
2

About G. Kinoshita

G. Kinoshita is a scholar working on Instrumentation, Cognitive Neuroscience and Control and Systems Engineering, having authored 49 papers that have together received 326 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Tactile and Sensory Interactions (11 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). The work is most often cited by research in Control and Systems Engineering (80 citations), Human-Computer Interaction (18 citations) and Electrical and Electronic Engineering (164 citations). G. Kinoshita has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Masahiro Mori, E. Diane Johnson, I. Golecki, Masanori Idesawa, B.M. Paine, Masaki Yamakita, Hisashi OSUMI, Kazunori Umeda, H. L. Glass and M. Shimojo. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Pattern Recognition.

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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