Toru Aonishi

811 citations
52 papers · 436 indexed · h-index 12
Topics
Neural dynamics and brain function (21 papers)stochastic dynamics and bifurcation (10 papers)Quantum Computing Algorithms and Architecture (9 papers)
Partner nations
JapanUnited States

In The Last Decade

Toru Aonishi

49 papers receiving 428 citations

Peers

Toru Aonishi
Comparison fields: 5 of 74
  • Cognitive Neuroscience 201
  • Artificial Intelligence 129
  • Cellular and Molecular Neuroscience 118
  • Computer Networks and Communications 83
  • Statistical and Nonlinear Physics 71
Replace Valentin Zhigulin with:
Valentin Zhigulin United States
Chad Giusti United States
Sebastian Gerwinn Germany
Hans Ekkehard Pleßer Norway
Martina Scolamiero Sweden
Michael Denker Germany
Roman R. Poznański Malaysia
Jochen Martin Eppler Germany
Tobias C. Potjans Japan
Kamiar Rahnama Rad United States
Toru Aonishi relative to Valentin Zhigulin United States Valentin Zhigulin's profile →
Citations per field
00.5×
Valentin Zhigulin · 1×
Citations per year

Countries citing papers authored by Toru Aonishi

Since Specialization
Citations

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

Fields of papers citing papers by Toru Aonishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Aonishi

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Aonishi. A scholar is included among the top collaborators of Toru Aonishi 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 Toru Aonishi. Toru Aonishi 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 1
2 5
3 2
4 13
5 4
6 0
7 17
8 2
9 6
10 3
11 4
12 4
13 7
14
Detection of cells from calcium imaging data using non-negative matrix factorization
1
15 18
16 9
17 17
18 12
19 7
20 10

About Toru Aonishi

Toru Aonishi is a scholar working on Cognitive Neuroscience, Biophysics and Statistical and Nonlinear Physics, having authored 52 papers that have together received 436 indexed citations. Recurring topics across this work include Neural dynamics and brain function (21 papers), stochastic dynamics and bifurcation (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). The work is most often cited by research in Cognitive Neuroscience (201 citations), Biophysics (59 citations) and Cellular and Molecular Neuroscience (118 citations). Toru Aonishi has collaborated with scholars based in Japan and United States. Frequent co-authors include Masato Okada, Hiroyoshi Miyakawa, Masashi Inoue, Toshiaki Omori, Keisuke Ota, Ichiro Kato, Y. Yamamoto, Yoshitaka Inui, Satoshi Kako and Masato Okada. Their work appears in journals such as Physical Review Letters, PLoS ONE and Journal of Applied Physics.

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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