Yukio Gunji

408 citations
33 papers · 250 indexed · h-index 8

Yukio Gunji

32 papers receiving 231 citations

Peers

Yukio Gunji
Comparison fields: 5 of 70
  • Computational Theory and Mathematics 56
  • Ecology, Evolution, Behavior and Systematics 53
  • Astronomy and Astrophysics 27
  • Plant Science 62
  • Cognitive Neuroscience 30
Replace Taichi Haruna with:
Taichi Haruna Japan
Francesca Di Patti Italy
Yukio-Pegio Gunji Japan
Eduardo Mendoza Germany
Santosh Manicka United States
Vera Calenbuhr Belgium
A. E. R. Woodcock United States
Julien Dubuis United States
Lan Yin China
Vasileios Basios Belgium
Yukio Gunji relative to Taichi Haruna Japan Taichi Haruna's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yukio Gunji

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Gunji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 202210
3 20211
4 20203
5
Diversity in the chemotactic behavior of physarum plasmodium induced by bi-modal stimuli
20204
6 20193
7 20195
8 20191
9 201874
10 20177
11 20149
12 20122
13
Computation of Voronoi diagram and collision-free path using the plasmodium of Physarum polycephalum
201016
14
Making Decision in Estimating Pheromone by an Ant itself, Expressed as a Cause-Effect Loop
19975
15
Plasticity in Symbiotic Behavior: As Demonstrated by a Gobiid Fish (Amblyeleotris steinitzi) Associated with Alpheid Shrimps
19961
16
Behavioral Plasticity of Hermit Crabs A Preliminary Report
19960
17 199112
18 199021
19 19901
20 19842

About Yukio Gunji

Yukio Gunji is a scholar working on Applied Psychology, Computational Theory and Mathematics and Paleontology, having authored 33 papers that have together received 250 indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (7 papers), Cellular Automata and Applications (5 papers), Biocrusts and Microbial Ecology (3 papers), Crustacean biology and ecology (3 papers), Diffusion and Search Dynamics (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Marine and fisheries research (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in Computational Theory and Mathematics (56 citations), Ecology, Evolution, Behavior and Systematics (53 citations) and Astronomy and Astrophysics (27 citations). Yukio Gunji has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomohiro Shirakawa, Shuji Shinohara, Norio Konno, Richard Mayne, Jordi Vallverdú, František Baluška, Audrey Dussutour, Òscar Castro, Andrew Adamatzky and Michael Levin. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology and Neural Networks.

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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