Kenichiro Yamamura

1.4k total citations
84 papers, 805 citations indexed

About

Kenichiro Yamamura is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Kenichiro Yamamura has authored 84 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 25 papers in Pulmonary and Respiratory Medicine and 22 papers in Computational Theory and Mathematics. Recurrent topics in Kenichiro Yamamura's work include Numerical Methods and Algorithms (18 papers), Kawasaki Disease and Coronary Complications (15 papers) and Congenital Heart Disease Studies (13 papers). Kenichiro Yamamura is often cited by papers focused on Numerical Methods and Algorithms (18 papers), Kawasaki Disease and Coronary Complications (15 papers) and Congenital Heart Disease Studies (13 papers). Kenichiro Yamamura collaborates with scholars based in Japan, United States and France. Kenichiro Yamamura's co-authors include Toshiro Hara, Yoshiyuki Inoue, Kazumi Horiuchi, Yasunari Sakai, R. Kaneko, Hazumu Nagata, Yumi Mizuno, Kenji Ihara, Kazuyuki Ikeda and Shouichi Ohga and has published in prestigious journals such as Circulation, PLoS ONE and European Heart Journal.

In The Last Decade

Kenichiro Yamamura

76 papers receiving 788 citations

Peers

Kenichiro Yamamura
Comparison fields: 5 of 92
  • Computational Theory and Mathematics 293
  • Surgery 211
  • Electrical and Electronic Engineering 201
  • Pulmonary and Respiratory Medicine 184
  • Biomedical Engineering 115
Replace Lucy Zhang with:
Lucy Zhang United States
Markus Kunze Germany
Chih‐Chin Shih Taiwan
Alessandro Borri Italy
Shih-Ho Wang Taiwan
Akira Ichikawa Japan
Yossi Chait United States
Luciano Izzo Italy
K. Singhal Canada
Eugene Walach Israel
Lucy Zhang United States View profile →
Citations per field, relative to Kenichiro Yamamura
Kenichiro Yamamura · 1×
Citations per year, relative to Kenichiro Yamamura
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Countries citing papers authored by Kenichiro Yamamura

Since Specialization
Citations

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

Fields of papers citing papers by Kenichiro Yamamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichiro Yamamura

This figure shows the co-authorship network connecting the top 25 collaborators of Kenichiro Yamamura. A scholar is included among the top collaborators of Kenichiro Yamamura 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 Kenichiro Yamamura. Kenichiro Yamamura 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
# Work Indexed citations
1 1
2 0
3 1
4 4
5 1
6 0
7 6
8 12
9 3
10 1
11 5
12 6
13 24
14 4
15 2
16 16
17 4
18 1
19 6
20
Exploiting separability in numerical analisis of nonlinear systems
2

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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