Kosuke Hamaguchi

20 papers receiving 350 citations

Peers

Kosuke Hamaguchi
Comparison fields: 5 of 51
  • Developmental Biology 144
  • Cognitive Neuroscience 185
  • Ecology, Evolution, Behavior and Systematics 124
  • Cellular and Molecular Neuroscience 108
  • Statistical and Nonlinear Physics 55
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Leandro M. Alonso United States
Teresa A. McMullen United States
Ziying Fu China
Alexander Hanuschkin Germany
Emily L. Mackevicius United States
Junsei Horikawa Japan
Jan Grewe Germany
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Citations per year

Countries citing papers authored by Kosuke Hamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Hamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Kosuke Hamaguchi, 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 Kosuke Hamaguchi Line = papers co-authored together Kosuke Hamaguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200764
2 201656
3 201456
4 201248
5 201339
6 202318
7 200615
8 200514
9 20207
10 20047
11 20107
12 20075
13 20084
14 20064
15 20094
16
Theory of localized synfire chain: characteristic propagation speed of stable spike pattern
20043
17 20052
18 20221
19 20071
20 20221

About Kosuke Hamaguchi

Kosuke Hamaguchi is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Artificial Intelligence and Computer Networks and Communications, having authored 20 papers that have together received 356 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), stochastic dynamics and bifurcation (8 papers), Neural Networks and Applications (4 papers), Photoreceptor and optogenetics research (4 papers), Animal Vocal Communication and Behavior (3 papers), Neuroscience and Neural Engineering (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Developmental Biology (144 citations), Cognitive Neuroscience (185 citations), Ecology, Evolution, Behavior and Systematics (124 citations), Cellular and Molecular Neuroscience (108 citations) and Statistical and Nonlinear Physics (55 citations). Kosuke Hamaguchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Richard Mooney, Шун-ичи Амари, Si Wu, Masashi Tanaka, In-Ho Yoon, Bruce R. Donald, Masato Okada, Kazuyuki Aihara, Katherine Tschida and Ivan Borzenets. Their work appears in journals such as Neural Computation, Journal of the Physical Society of Japan, Neurocomputing, Journal of Neurophysiology and Journal of Neuroscience.

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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