T. Nakamura

150 total papers · 609 total citations
64 papers, 480 citations indexed

About

T. Nakamura is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, T. Nakamura has authored 64 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanical Engineering, 28 papers in Mechanics of Materials and 17 papers in Materials Chemistry. Recurrent topics in T. Nakamura's work include Welding Techniques and Residual Stresses (33 papers), Advanced Welding Techniques Analysis (18 papers) and Microstructure and Mechanical Properties of Steels (14 papers). T. Nakamura is often cited by papers focused on Welding Techniques and Residual Stresses (33 papers), Advanced Welding Techniques Analysis (18 papers) and Microstructure and Mechanical Properties of Steels (14 papers). T. Nakamura collaborates with scholars based in Japan, China and United States. T. Nakamura's co-authors include Kazuo Hiraoka, Yosuke Tanigawa, Y. Ootao, Kazuya Hiraoka, Houichi Kitano, Takahiro Sawaguchi, Yasuhiko Inoue, Atsumichi Kushibe, Hiroaki Otsuka and Kenji Umemura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Materials Science and Engineering A.

In The Last Decade

T. Nakamura

56 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
T. Nakamura 330 180 144 81 41 64 480
Xiaoguang Zhou 263 0.8× 176 1.0× 184 1.3× 91 1.1× 116 2.8× 42 448
Chong Ma 283 0.9× 94 0.5× 197 1.4× 44 0.5× 46 1.1× 42 415
Ryuichi OHTANI 358 1.1× 358 2.0× 172 1.2× 110 1.4× 22 0.5× 84 497
Takeshi Mori 327 1.0× 304 1.7× 148 1.0× 174 2.1× 25 0.6× 96 494
Shamachary Sathish 230 0.7× 346 1.9× 63 0.4× 63 0.8× 19 0.5× 44 444
Takuya Suzuki 206 0.6× 135 0.8× 191 1.3× 35 0.4× 76 1.9× 50 492
Masahiro JONO 295 0.9× 412 2.3× 151 1.0× 110 1.4× 52 1.3× 84 498
А. С. Семенов 257 0.8× 283 1.6× 240 1.7× 80 1.0× 15 0.4× 88 543
Xiangbing Liu 205 0.6× 136 0.8× 293 2.0× 61 0.8× 50 1.2× 52 483
Ana Horovistiz 255 0.8× 109 0.6× 248 1.7× 50 0.6× 61 1.5× 40 518

Countries citing papers authored by T. Nakamura

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nakamura more than expected).

Fields of papers citing papers by T. Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Nakamura

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