Shinji Doi

525 citations
43 papers · 397 · h-index 12

Impact in

Papers in

Shinji Doi

38 papers receiving 386 citations

Peers

Shinji Doi
Comparison fields: 5 of 48
  • Statistical and Nonlinear Physics 321
  • Computer Networks and Communications 257
  • Cognitive Neuroscience 175
  • Cellular and Molecular Neuroscience 32
  • Statistics, Probability and Uncertainty 9
Replace Jiqian Zhang with:
Jiqian Zhang China
Kensuke Arai Japan
Xuejuan Zhang China
Takashi Kanamaru Japan
C. Eichwald United States
Maria K. Kurovskaya Russia
Yong Xie China
Hisa‐Aki Tanaka Japan
H. G. Enjieu Kadji Cameroon
Nadezhda Semenova Russia
Shinji Doi relative to Jiqian Zhang China Jiqian Zhang's profile →
Citations per field
00.5×2.6×
Jiqian Zhang · 1×
Citations per year

Countries citing papers authored by Shinji Doi

Since Specialization
Citations

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

Fields of papers citing papers by Shinji Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Shinji Doi, 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 Shinji Doi Line = papers co-authored together Shinji Doi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199536
2 200136
3 199335
4 199434
5
A Bonhoeffer-van der Pol oscillator model of locked and non-locked behaviors of living pacemaker neurons.
199332
6 199828
7 200124
8 199522
9 200521
10 200020
11 199718
12 198913
13 200611
14 200411
15 19989
16 20107
17 20196
18 20115
19 19973
20 19932

About Shinji Doi

Shinji Doi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 397 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (28 papers), Nonlinear Dynamics and Pattern Formation (19 papers), Neural dynamics and brain function (19 papers), Cardiac electrophysiology and arrhythmias (6 papers), Chaos control and synchronization (5 papers), Neuroscience and Neural Engineering (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (321 citations), Computer Networks and Communications (257 citations), Cognitive Neuroscience (175 citations), Cellular and Molecular Neuroscience (32 citations) and Statistics, Probability and Uncertainty (9 citations). Shinji Doi has collaborated with scholars based in Japan, Hong Kong and United States. Frequent co-authors include Shunsuke Sato, Taishin Nomura, Junko Inoue, Michael Stiber, J. P. Segundo, Takashi Tateno, Luigi M. Ricciardi, Khashayar Pakdaman, Shunsuke Sato and Zhenxing Pan. Their work appears in journals such as Biological Cybernetics, Biosystems, Journal of Statistical Physics, Mathematical Biosciences and Physics Letters A.

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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