Ken Tsuda

1.4k citations
58 papers · 1.2k · h-index 17

Impact in

Papers in

Ken Tsuda

56 papers receiving 1.1k citations

Peers

Ken Tsuda
Comparison fields: 5 of 115
  • Ecological Modeling 133
  • Small Animals 205
  • Polymers and Plastics 271
  • Industrial and Manufacturing Engineering 101
  • Mechanical Engineering 404
Replace Heng Yang with:
Heng Yang China
Ashok Kumar Satapathy India
Guangzhi He China
Thierry Bénézech France
Yoon‐Cheol Ha South Korea
Rachel Sammons United Kingdom
Wenhui Ji China
B. Bennani Morocco
Gregory A. Campbell United States
P.K. Roy India
Ken Tsuda relative to Heng Yang China Heng Yang's profile →
Citations per field
00.5×10×15×19.2×
Heng Yang · 1×
Citations per year

Countries citing papers authored by Ken Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Ken Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ken Tsuda, 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 Ken Tsuda Line = papers co-authored together Ken Tsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005180
2 2002154
3 1993103
4 1992101
5 199395
6 201565
7 199057
8 200540
9 200731
10 200727
11 198626
12 198122
13 199821
14 200920
15 199418
16 199118
17 200517
18 200314
19 199414
20 200713

About Ken Tsuda

Ken Tsuda is a scholar working on Mechanical Engineering, Polymers and Plastics, Materials Chemistry, Ecological Modeling and Civil and Structural Engineering, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Erosion and Abrasive Machining (14 papers), Epoxy Resin Curing Processes (13 papers), Corrosion Behavior and Inhibition (8 papers), Synthesis and properties of polymers (7 papers), Polymer Nanocomposites and Properties (5 papers), Coal Combustion and Slurry Processing (4 papers), Engineering Applied Research (4 papers) and Animal health and immunology (4 papers). The work is most often cited by research in Ecological Modeling (133 citations), Small Animals (205 citations), Polymers and Plastics (271 citations), Industrial and Manufacturing Engineering (101 citations) and Mechanical Engineering (404 citations). Ken Tsuda has collaborated with scholars based in Japan, South Korea and United Kingdom. Frequent co-authors include Masatoshi Kubouchi, Hideki Sembokuya, Hajime Hatta, Takehiko Yamamoto, Mujo Kim, Tetsuya Sakai, Takusaburo Ebina, Makoto Ozeki, Hitoshi Nagashima and Kei Hashimoto. Their work appears in journals such as Advanced Composites Letters, Bioscience Biotechnology and Biochemistry, Advanced Composite Materials, Polymer Degradation and Stability and Polymer.

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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