Takashi Teramoto

1.7k citations
72 papers · 1.4k indexed · h-index 22

Takashi Teramoto

67 papers receiving 1.3k citations

Peers

Takashi Teramoto
Comparison fields: 5 of 119
  • Statistical and Nonlinear Physics 224
  • Developmental Neuroscience 74
  • Computer Networks and Communications 320
  • Cellular and Molecular Neuroscience 208
  • Pathology and Forensic Medicine 146
Replace Р. Р. Алиев with:
Р. Р. Алиев Russia
Leonardo Sacconi Italy
Tao Tu China
André G. Kléber Switzerland
Fidel Santamarı́a United States
Ronald W. Joyner United States
J. Takács Hungary
Wolfgang Nonner United States
Ikuo Suzuki Japan
Steve Blair United States
Takashi Teramoto relative to Р. Р. Алиев Russia Р. Р. Алиев's profile →
Citations per field
00.5×10.6×
Р. Р. Алиев · 1×
Citations per year

Countries citing papers authored by Takashi Teramoto

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Teramoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 202310
4 20187
5 201712
6 20161
7 201633
8 20110
9 200917
10 200913
11
Applications of computational homology to 3D morphology transitions
20081
12 20085
13 200738
14 2006158
15 200363
16 19952
17 199433
18 199469
19 19946
20 199355

About Takashi Teramoto

Takashi Teramoto is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Tourism, Leisure and Hospitality Management, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), Block Copolymer Self-Assembly (12 papers), stochastic dynamics and bifurcation (7 papers), Quantum chaos and dynamical systems (7 papers), Theoretical and Computational Physics (6 papers), Nonlinear Photonic Systems (6 papers), Surfactants and Colloidal Systems (5 papers) and Cervical and Thoracic Myelopathy (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (224 citations), Developmental Neuroscience (74 citations) and Computer Networks and Communications (320 citations). Takashi Teramoto has collaborated with scholars based in Japan, Australia and Taiwan. Frequent co-authors include Yasumasa Nishiura, Susumu Kotani, T. Yamauchi, H. OGURA, S. Kazama, Kenji Haraya, Takuro Niidome, Hidenori Inoue, Yoshihiro Ishida and Tetsuro Takatsu. Their work appears in journals such as The Journal of Chemical Physics, Analytical Biochemistry and Scientific Reports.

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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