Hiroyasu Yamada

2.8k citations
45 papers · 1.8k indexed · 1 hit paper · h-index 14
Topics
Slime Mold and Myxomycetes Research (8 papers)Nonlinear Dynamics and Pattern Formation (7 papers)Plant and Biological Electrophysiology Studies (5 papers)
Partner nations
JapanHungary

In The Last Decade

Hiroyasu Yamada

42 papers receiving 1.7k citations

Hit Papers

Maze-solving by an amoeboid organism20002026200820172000200400600

Peers

Hiroyasu Yamada
Comparison fields: 5 of 142
  • Biomedical Engineering 919
  • Plant Science 566
  • Ecology, Evolution, Behavior and Systematics 564
  • Artificial Intelligence 440
  • Molecular Biology 144
Replace Atsushi Tero with:
Atsushi Tero Japan
Markus R. Owen United Kingdom
Carsten Marr Germany
Nicholas Hamilton Australia
Semyon Kruglyak United States
Bogusław Obara United Kingdom
Chaoyang Wang China
Olivier Collin France
Thomas E. Gorochowski United Kingdom
Atsuko Takamatsu Japan
Hiroyasu Yamada relative to Atsushi Tero Japan Atsushi Tero's profile →
Citations per field
00.5×5.8×
Atsushi Tero · 1×
Citations per year

Countries citing papers authored by Hiroyasu Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyasu Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyasu Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyasu Yamada. A scholar is included among the top collaborators of Hiroyasu Yamada 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 Hiroyasu Yamada. Hiroyasu Yamada 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
#WorkIndexed citations
1 2
2 7
3 0
4 16
5 24
6 14
7 1
8 14
9
Modeling Category Structures with a Kernel Function
4
10 2
11 181
12 2
13 125
14
Maze-solving by an amoeboid organismbreakdown →
607
15 3
16 12
17 3
18 2
19 6
20 1

About Hiroyasu Yamada

Hiroyasu Yamada is a scholar working on Hepatology, Statistical and Nonlinear Physics and Gastroenterology, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (8 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Plant and Biological Electrophysiology Studies (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (564 citations), Biomedical Engineering (919 citations) and Plant Science (566 citations). Hiroyasu Yamada has collaborated with scholars based in Japan and Hungary. Frequent co-authors include Toshiyuki Nakagaki, Ágota Tóth, Yūji Matsumoto, Tetsuo Ueda, Isao Endo, Reiko Tanaka, Atsuko Takamatsu, Teruo Fujii, Masami Itō and Mikiya Kitamoto. Their work appears in journals such as Nature, Physical Review Letters and PLoS ONE.

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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