Heizō Tokutaka

1.6k citations
116 papers · 1.1k indexed · h-index 16

Heizō Tokutaka

100 papers receiving 1.1k citations

Peers

Heizō Tokutaka
Comparison fields: 5 of 103
  • Surfaces, Coatings and Films 257
  • Condensed Matter Physics 386
  • Atomic and Molecular Physics, and Optics 469
  • Structural Biology 21
  • Radiation 118
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Citations per year

Countries citing papers authored by Heizō Tokutaka

Since Specialization
Citations

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

Fields of papers citing papers by Heizō Tokutaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Upregulated CCL20 and CCR6 in Cancer Stem Cells Converted from Mouse iPS Cells
20201
2 20088
3
Analysis and Visualization of metabolic syndrome trends using SOM
20070
4 20051
5 20032
6 20026
7
Optimization of High Speed Chip-Mounter Using SOM-TSP Method
20010
8
Smoothing of Chemical Analysis Data by Neural Networks
19981
9
Learning of Simple Oscillating Wave Form by Adaptive Subspace SOM
19981
10
Application of SOM to Quantitative Chemical Data Analysis
19981
11
Optimizations of TSP by SOM Method.
19973
12 199712
13 19950
14
The Traveling Salesman Problem Applied to the Self-Organizing Feature Map
199410
15 19907
16 19891
17 19887
18 19872
19 19862
20 198560

About Heizō Tokutaka

Heizō Tokutaka is a scholar working on Surfaces, Coatings and Films, Condensed Matter Physics and Structural Biology, having authored 116 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (31 papers), Electron and X-Ray Spectroscopy Techniques (23 papers), Surface and Thin Film Phenomena (19 papers), Magnetic properties of thin films (12 papers), Spectroscopy and Chemometric Analyses (11 papers), Water Quality Monitoring and Analysis (11 papers), Neural Networks and Applications (10 papers) and Superconducting Materials and Applications (9 papers). The work is most often cited by research in Surfaces, Coatings and Films (257 citations), Condensed Matter Physics (386 citations) and Atomic and Molecular Physics, and Optics (469 citations). Heizō Tokutaka has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Satoru Kishida, M. Prutton, T E Gallon, Kentaro Nishimori, Naganori Ishihara, Akinobu Irie, Kikuo Fujimura, Kazuhiro Yoshihara, Hideki Hayashi and Yoshihide Watanabe. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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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