Ryoichi Ando

2.0k citations
60 papers · 960 · h-index 18

Impact in

Papers in

Ryoichi Ando

55 papers receiving 921 citations

Peers

Ryoichi Ando
Comparison fields: 5 of 112
  • Computer Graphics and Computer-Aided Design 339
  • Nephrology 203
  • Computational Mechanics 365
  • Internal Medicine 35
  • Hematology 81
Replace Yanlin Li with:
Yanlin Li China
Hiroshi Natori Japan
Adam B. Greenbaum United States
Tadashi Araki Japan
Rachel E. Clough United Kingdom
Carina Riediger Germany
Jiarui Xu China
Sophia Zhao United States
P. Lamby Germany
Jesús Hernández Hernández Spain
Ryoichi Ando relative to Yanlin Li China Yanlin Li's profile →
Citations per field
00.5×10×20×29×
Yanlin Li · 1×
Citations per year

Countries citing papers authored by Ryoichi Ando

Since Specialization
Citations

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

Fields of papers citing papers by Ryoichi Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 199680
3 201270
4 201658
5 199852
6 201546
7 199143
8 202042
9 201131
10 198428
11 201727
12 201425
13 198324
14 201521
15 198820
16 201819
17 201218
18 202018
19 201816
20 201116

About Ryoichi Ando

Ryoichi Ando is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Nephrology, Pulmonary and Respiratory Medicine and Hematology, having authored 60 papers that have together received 960 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (17 papers), Fluid Dynamics and Heat Transfer (9 papers), Parathyroid Disorders and Treatments (9 papers), 3D Shape Modeling and Analysis (8 papers), Computational Geometry and Mesh Generation (7 papers), Erythropoietin and Anemia Treatment (7 papers), Dialysis and Renal Disease Management (7 papers) and Hemoglobinopathies and Related Disorders (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (339 citations), Nephrology (203 citations), Computational Mechanics (365 citations), Internal Medicine (35 citations) and Hematology (81 citations). Ryoichi Ando has collaborated with scholars based in Japan, Austria and Germany. Frequent co-authors include Chris Wojtan, Nils Thürey, Reiji Tsuruno, Nils Thuerey, Toshio Shinoda, Fumiaki Marumo, Shigeo Tomura, Yoshiko Chida, Christopher Batty and Isao Kuwajima. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, ˜The œNephron journals/Nephron journals, IEEE Transactions on Visualization and Computer Graphics and American Journal of Kidney Diseases.

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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