Jun Kanda

779 citations
73 papers · 604 · h-index 12

Impact in

Papers in

Jun Kanda

65 papers receiving 552 citations

Peers

Jun Kanda
Comparison fields: 5 of 60
  • Environmental Engineering 354
  • Statistics, Probability and Uncertainty 119
  • Civil and Structural Engineering 280
  • Computational Mechanics 191
  • Aerospace Engineering 176
Replace Michael Kasperski with:
Michael Kasperski Germany
K. Hibi Japan
J.R. Mayne United Kingdom
V. Valamanesh United States
Eri Gavanski Japan
Knut O. Ronold Norway
Leighton Cochran United States
C. Scruton United Kingdom
T. G. Mara Canada
Murray J. Morrison Canada
Jun Kanda relative to Michael Kasperski Germany Michael Kasperski's profile →
Citations per field
00.5×
Michael Kasperski · 1×
Citations per year

Countries citing papers authored by Jun Kanda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jun Kanda, 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 Kanda Line = papers co-authored together Jun Kanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010105
2 201374
3 199753
4 199148
5 201135
6 201034
7 199924
8 200821
9 199218
10 199917
11 198314
12 199711
13 20158
14
Structural safety and its quality assurance
20057
15 19877
16 19907
17 19967
18 20136
19 19906
20 20146

About Jun Kanda

Jun Kanda is a scholar working on Civil and Structural Engineering, Environmental Engineering, Aerospace Engineering, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 73 papers that have together received 604 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (33 papers), Structural Health Monitoring Techniques (15 papers), Probabilistic and Robust Engineering Design (13 papers), Aerodynamics and Fluid Dynamics Research (12 papers), Structural Engineering and Vibration Analysis (12 papers), Seismic Performance and Analysis (10 papers), Fluid Dynamics and Vibration Analysis (10 papers) and Infrastructure Maintenance and Monitoring (4 papers). The work is most often cited by research in Environmental Engineering (354 citations), Statistics, Probability and Uncertainty (119 citations), Civil and Structural Engineering (280 citations), Computational Mechanics (191 citations) and Aerospace Engineering (176 citations). Jun Kanda has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yong Chul Kim, Bruce R. Ellingwood, Haresh C. Shah, Yukio Tamura, Takeshi Ohkuma, Yasuo Okuda, Hang Seok Choi, Haruyuki KITAMURA, Kazuo Ohtake and Hajime Kobayashi. Their work appears in journals such as Journal of Structural and Construction Engineering (Transactions of AIJ), Journal of Wind Engineering and Industrial Aerodynamics, Structural Safety, Wind and Structures and Journal of Earthquake Engineering.

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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