Jun Kawaguchi

1.2k citations
113 papers · 874 · h-index 15

Impact in

Papers in

Jun Kawaguchi

96 papers receiving 838 citations

Peers

Jun Kawaguchi
Comparison fields: 5 of 102
  • Astronomy and Astrophysics 265
  • Building and Construction 194
  • Civil and Structural Engineering 220
  • Experimental and Cognitive Psychology 118
  • Cognitive Neuroscience 175
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Zhihui Huang China
An-Min Li China
Daniel J. Burns United States
Jingyuan Huang China
F. J. J. Clarke United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jun Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Kawaguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Kawaguchi Line = papers co-authored together Jun Kawaguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008183
2 200264
3 200651
4 200237
5 200126
6 201225
7
Behavior of concrete-filled steel tubular three-dimensional subassemblages
199321
8 201320
9 200618
10 200617
11 201216
12 202015
13 200615
14 200914
15
Experimental study of scale effects on the compressive behavior of short concrete-filled steel tube columns
200014
16 201413
17 200712
18 201612
19
Spacecraft Exploration of Asteroids: The 2001 Perspective
200212
20 202111

About Jun Kawaguchi

Jun Kawaguchi is a scholar working on Cognitive Neuroscience, Civil and Structural Engineering, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Astronomy and Astrophysics, having authored 113 papers that have together received 874 indexed citations. Recurring topics across this work include Structural Load-Bearing Analysis (21 papers), Memory Processes and Influences (16 papers), Structural Engineering and Vibration Analysis (14 papers), Structural Behavior of Reinforced Concrete (13 papers), Astro and Planetary Science (12 papers), Planetary Science and Exploration (11 papers), Neural and Behavioral Psychology Studies (10 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers). The work is most often cited by research in Astronomy and Astrophysics (265 citations), Building and Construction (194 citations), Civil and Structural Engineering (220 citations), Experimental and Cognitive Psychology (118 citations) and Cognitive Neuroscience (175 citations). Jun Kawaguchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shosuke Morino, Takamasa Yamamoto, Daniel J. Scheeres, Takuji Kubota, Noboru Matsumoto, Masateru Ishiguro, O. S. Barnouin, T. Mukai, R. W. Gaskell and Naru Hirata. Their work appears in journals such as Journal of Structural and Construction Engineering (Transactions of AIJ), Memory, Cognitive Science, Frontiers in Psychology and Journal of The Electrochemical Society.

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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