Takuma Ban

23 total papers · 1.1k total citations
15 papers, 948 citations indexed

About

Takuma Ban is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Animal Science and Zoology. According to data from OpenAlex, Takuma Ban has authored 15 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Animal Science and Zoology. Recurrent topics in Takuma Ban's work include Photonic and Optical Devices (9 papers), Semiconductor Lasers and Optical Devices (6 papers) and Advanced Photonic Communication Systems (5 papers). Takuma Ban is often cited by papers focused on Photonic and Optical Devices (9 papers), Semiconductor Lasers and Optical Devices (6 papers) and Advanced Photonic Communication Systems (5 papers). Takuma Ban collaborates with scholars based in Japan. Takuma Ban's co-authors include Takashi Kondo, Ken’ichiro Tanaka, Takayuki Takahashi, Noboru Miura, K. Uchida, Hideyuki Kunugita, Kazuhiro Ema, Toshiki Sugawara, Shinji Tsuji and Yong Lee and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Solid State Communications.

In The Last Decade

Takuma Ban

15 papers receiving 923 citations

Hit Papers

Comparative study on the ... 2003 2026 2010 2018 2003 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Takuma Ban 907 688 188 119 73 15 948
Wengao Lu 1.1k 1.2× 848 1.2× 123 0.7× 256 2.2× 138 1.9× 15 1.2k
Ninghao Zhou 956 1.1× 682 1.0× 358 1.9× 104 0.9× 61 0.8× 15 1.0k
Naresh Kumar Kumawat 772 0.9× 613 0.9× 172 0.9× 60 0.5× 33 0.5× 17 798
Ross Haroldson 1.1k 1.3× 745 1.1× 232 1.2× 217 1.8× 159 2.2× 30 1.2k
Verena A. Hintermayr 1.1k 1.2× 1.1k 1.5× 99 0.5× 142 1.2× 42 0.6× 7 1.2k
Dengbao Han 830 0.9× 740 1.1× 109 0.6× 123 1.0× 55 0.8× 16 914
Songjie Du 897 1.0× 775 1.1× 88 0.5× 185 1.6× 132 1.8× 20 971
David A. Valverde-Chávez 699 0.8× 522 0.8× 153 0.8× 192 1.6× 91 1.2× 14 815
Jacob B. Hoffman 640 0.7× 600 0.9× 75 0.4× 113 0.9× 36 0.5× 15 825
Yurii V. Morozov 977 1.1× 922 1.3× 167 0.9× 128 1.1× 66 0.9× 15 1.1k

Countries citing papers authored by Takuma Ban

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Ban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Ban

This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Ban. A scholar is included among the top collaborators of Takuma Ban 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 Takuma Ban. Takuma Ban 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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