Tadao Nakamura

307 total papers · 971 total citations
115 papers, 646 citations indexed

About

Tadao Nakamura is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Tadao Nakamura has authored 115 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 28 papers in Atomic and Molecular Physics, and Optics and 26 papers in Computer Networks and Communications. Recurrent topics in Tadao Nakamura's work include Quantum Information and Cryptography (30 papers), Quantum Computing Algorithms and Architecture (30 papers) and Quantum Mechanics and Applications (26 papers). Tadao Nakamura is often cited by papers focused on Quantum Information and Cryptography (30 papers), Quantum Computing Algorithms and Architecture (30 papers) and Quantum Mechanics and Applications (26 papers). Tadao Nakamura collaborates with scholars based in Japan, South Korea and Vietnam. Tadao Nakamura's co-authors include Koji Nagata, Koji Nakajima, Yutaka Onodera, Risaburô Sato, Ahmed Farouk, Hiroaki Kobayashi, Kentaro Sano, Yukinori Sato, Yasushi Inoguchi and Hiroaki Kobayashi and has published in prestigious journals such as Journal of Applied Physics, The Journal of the Acoustical Society of America and American Journal of Roentgenology.

In The Last Decade

Tadao Nakamura

87 papers receiving 582 citations

Author Peers

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

Author Last Decade Papers Cites
Tadao Nakamura 194 137 110 108 97 115 646
Lie‐Quan Lee 139 0.7× 138 1.0× 145 1.3× 128 1.2× 131 1.4× 30 688
Al Globus 121 0.6× 69 0.5× 184 1.7× 61 0.6× 110 1.1× 48 748
Maxim Naumov 134 0.7× 198 1.4× 154 1.4× 181 1.7× 84 0.9× 25 677
Ichitaro Yamazaki 89 0.5× 116 0.8× 172 1.6× 50 0.5× 49 0.5× 76 655
Josef Weinbub 114 0.6× 252 1.8× 51 0.5× 229 2.1× 13 0.1× 78 595
Hristo Djidjev 207 1.1× 22 0.2× 173 1.6× 74 0.7× 90 0.9× 64 598
Aparna Chandramowlishwaran 97 0.5× 146 1.1× 239 2.2× 147 1.4× 39 0.4× 38 613
Jerzy Waśniewski 73 0.4× 41 0.3× 113 1.0× 57 0.5× 43 0.4× 73 601
Zeyao Mo 64 0.3× 52 0.4× 153 1.4× 65 0.6× 40 0.4× 73 616
E. V. Krishnamurthy 150 0.8× 29 0.2× 84 0.8× 94 0.9× 79 0.8× 99 696

Countries citing papers authored by Tadao Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Tadao Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadao Nakamura

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