Atsushi Takada

409 total papers · 4.5k total citations
234 papers, 2.9k citations indexed

About

Atsushi Takada is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, Atsushi Takada has authored 234 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Electrical and Electronic Engineering, 79 papers in Atomic and Molecular Physics, and Optics and 75 papers in Nuclear and High Energy Physics. Recurrent topics in Atsushi Takada's work include Optical Network Technologies (103 papers), Particle Detector Development and Performance (67 papers) and Advanced Fiber Laser Technologies (66 papers). Atsushi Takada is often cited by papers focused on Optical Network Technologies (103 papers), Particle Detector Development and Performance (67 papers) and Advanced Fiber Laser Technologies (66 papers). Atsushi Takada collaborates with scholars based in Japan, United States and Finland. Atsushi Takada's co-authors include Wataru Imajuku, M. Saruwatari, T. Tanimori, H. Kubo, K. Miuchi, T. Nagayoshi, Y. Yamabayashi, H. Takara, Toshio Morioka and H. Miyazawa and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Atsushi Takada

213 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Atsushi Takada 1.9k 1.1k 648 569 167 234 2.9k
K. N. Leung 1.9k 1.0× 734 0.7× 753 1.2× 364 0.6× 104 0.6× 215 2.8k
E. Gatti 1.6k 0.8× 618 0.5× 1.9k 3.0× 1.8k 3.2× 81 0.5× 135 3.4k
S.A. Wender 859 0.5× 314 0.3× 878 1.4× 981 1.7× 37 0.2× 143 2.2k
Marek J. Sadowski 651 0.3× 481 0.4× 1.6k 2.5× 768 1.3× 145 0.9× 293 2.6k
V. Radeka 1.2k 0.6× 596 0.5× 1.4k 2.2× 1.4k 2.4× 64 0.4× 166 2.9k
C. R. Gould 635 0.3× 794 0.7× 1.2k 1.9× 727 1.3× 59 0.4× 158 2.3k
Nobuyuki Nakamura 323 0.2× 1.9k 1.7× 262 0.4× 544 1.0× 173 1.0× 226 2.6k
H. Ikeda 464 0.2× 572 0.5× 475 0.7× 264 0.5× 84 0.5× 180 1.9k
Alexey Arefiev 583 0.3× 1.1k 1.0× 1.6k 2.5× 149 0.3× 203 1.2× 120 2.1k
C. Pellegrini 3.3k 1.7× 1.8k 1.6× 1.3k 2.0× 2.2k 4.0× 65 0.4× 203 4.5k

Countries citing papers authored by Atsushi Takada

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Takada. A scholar is included among the top collaborators of Atsushi Takada 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 Atsushi Takada. Atsushi Takada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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