Shinya Nakamura

1.2k citations
69 papers · 926 indexed · h-index 16
Topics
Landslides and related hazards (24 papers)Adhesion, Friction, and Surface Interactions (13 papers)Iterative Learning Control Systems (11 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Shinya Nakamura

63 papers receiving 861 citations

Peers

Shinya Nakamura
Comparison fields: 5 of 78
  • Civil and Structural Engineering 420
  • Mechanical Engineering 294
  • Management, Monitoring, Policy and Law 291
  • Mechanics of Materials 206
  • Control and Systems Engineering 191
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Citations per field
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Citations per year

Countries citing papers authored by Shinya Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Nakamura. A scholar is included among the top collaborators of Shinya Nakamura 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 Shinya Nakamura. Shinya Nakamura 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 3
2 8
3 2
4
SHEAR STRENGTHS OF SLIP SURFACE OF RAINFALL-TRIGGERED MUDSTONE LANDSLIDES
0
5 2
6
A thermal driven microactuator for hard disk drive
4
7 2
8 2
9
Shear Strength Characteristics of Landslide Soils, Asato Landslide, Okinawa, Japan
2
10 1
11 3
12
Physico-chemical properties and their variation of amazonian dark earths distributed in middle Amazon basin, Brazil
1
13 4
14 1
15 0
16 3
17
Quantitative Assessment of Marine Traffic Environment by Using the Maneuvering Space Concept
1
18 1
19
DEVELOPMENT OF BALLASTED TRACK WITH RESILIENT TIES
1
20
Chemical Constituents in the Surface Snow in Mizuho Plateau
11

About Shinya Nakamura

Shinya Nakamura is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 69 papers that have together received 926 indexed citations. Recurring topics across this work include Landslides and related hazards (24 papers), Adhesion, Friction, and Surface Interactions (13 papers) and Iterative Learning Control Systems (11 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (291 citations), Civil and Structural Engineering (420 citations) and Safety, Risk, Reliability and Quality (135 citations). Shinya Nakamura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Fumio Tatsuoka, Sho Kimura, Kazuo Tani, M. Kobayashi, M. Tokuyama, Ken-ichi Sato, Kazuhiko Egashira, Shozo SAEGUSA, Masami Ohtsubo and Akiyoshi Fuji. Their work appears in journals such as Geology, Géotechnique and Engineering Geology.

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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