Nobuo Nakada

3.8k total citations
99 papers, 3.2k citations indexed

About

Nobuo Nakada is a scholar working on Mechanical Engineering, Materials Chemistry and Metals and Alloys. According to data from OpenAlex, Nobuo Nakada has authored 99 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Mechanical Engineering, 53 papers in Materials Chemistry and 34 papers in Metals and Alloys. Recurrent topics in Nobuo Nakada's work include Microstructure and Mechanical Properties of Steels (85 papers), Hydrogen embrittlement and corrosion behaviors in metals (34 papers) and Microstructure and mechanical properties (32 papers). Nobuo Nakada is often cited by papers focused on Microstructure and Mechanical Properties of Steels (85 papers), Hydrogen embrittlement and corrosion behaviors in metals (34 papers) and Microstructure and mechanical properties (32 papers). Nobuo Nakada collaborates with scholars based in Japan, Australia and Germany. Nobuo Nakada's co-authors include Toshihiro Tsuchiyama, Setsuo Takaki, Kyo-Sun Park, Keisuke Mizutani, Tatsuya Iwasaki, Hidetoshi Ito, Daichi Akama, Masao Kikuchi, Kenji Kaneko and K. Yamada and has published in prestigious journals such as Acta Materialia, International Journal of Hydrogen Energy and Materials Science and Engineering A.

In The Last Decade

Nobuo Nakada

97 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nobuo Nakada Japan 30 2.9k 2.0k 1.1k 923 324 99 3.2k
Seok-Jae Lee South Korea 26 2.7k 0.9× 1.9k 0.9× 808 0.7× 862 0.9× 484 1.5× 128 2.9k
Kip O. Findley United States 28 2.1k 0.7× 1.7k 0.8× 863 0.8× 825 0.9× 181 0.6× 123 2.5k
Chang‐Seok Oh South Korea 25 2.1k 0.7× 1.5k 0.7× 684 0.6× 704 0.8× 262 0.8× 52 2.3k
Ilana Timokhina Australia 36 3.3k 1.1× 2.7k 1.3× 853 0.8× 1.0k 1.1× 322 1.0× 123 3.5k
M. Calcagnotto Germany 9 3.1k 1.1× 2.3k 1.1× 764 0.7× 1.1k 1.2× 206 0.6× 11 3.4k
L. Krüger Germany 18 2.3k 0.8× 1.6k 0.8× 570 0.5× 700 0.8× 206 0.6× 53 2.5k
Toshihiro Tsuchiyama Japan 38 4.6k 1.6× 3.4k 1.7× 1.6k 1.5× 1.6k 1.7× 427 1.3× 232 5.0k
Anne-Françoise Gourgues-Lorenzon France 32 2.8k 1.0× 1.8k 0.9× 707 0.7× 1.1k 1.2× 187 0.6× 94 3.2k
D. San Martı́n Spain 25 1.9k 0.7× 1.4k 0.7× 523 0.5× 526 0.6× 165 0.5× 98 2.2k
Byoungchul Hwang South Korea 30 2.7k 0.9× 1.9k 1.0× 1.1k 1.0× 1.2k 1.3× 197 0.6× 139 3.1k

Countries citing papers authored by Nobuo Nakada

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Nakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Nakada

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

All Works

20 of 20 papers shown
1.
Gong, Wu, Stefanus Harjo, Qi Lu, et al.. (2025). On the role of austenite stability in yielding behavior of a medium Mn steel with a duplex austenite-martensite microstructure. Acta Materialia. 288. 120840–120840. 7 indexed citations
2.
Sato, Yusuke, et al.. (2025). Multiscale characterization of Lüders band propagation in ferritic steel using digital image correlation with multiple microscopy techniques. Journal of Materials Research and Technology. 39. 7497–7505.
3.
Nakada, Nobuo, et al.. (2025). Effects of grain size and interstitial elements on the Portevin–Le Chatelier effect in austenitic stainless steels. Journal of Materials Research and Technology. 40. 2071–2079.
4.
Nakada, Nobuo, et al.. (2025). Fracture mechanics analysis of anisotropic cleavage fracture caused by transformation-induced microscopic internal stresses in lath martensite. Materials Characterization. 223. 114905–114905. 1 indexed citations
5.
Lee, Seung-Yong, et al.. (2024). Comparison between the Lüders and Portevin–Le Chatelier Bands in the Low-strain-rate Tensile Testing of Ultralow-carbon Ferritic Steel. ISIJ International. 64(7). 1223–1227. 4 indexed citations
6.
Ogawa, Toshio, Yoshitaka Adachi, Fei Sun, et al.. (2023). Big-Volume SliceGAN for Improving a Synthetic 3D Microstructure Image of Additive-Manufactured TYPE 316L Steel. Journal of Imaging. 9(5). 90–90. 7 indexed citations
7.
Sun, Fei, Toshio Ogawa, Yoshitaka Adachi, et al.. (2023). Modulated Structure Formation in Dislocation Cells in 316L Stainless Steel Fabricated by Laser Powder Bed Fusion. MATERIALS TRANSACTIONS. 64(6). 1143–1149. 5 indexed citations
8.
Wu, Hao & Nobuo Nakada. (2022). <i>δ</i>–pearlite Reaction by Carburization in Fe–Cr Binary Alloy. ISIJ International. 62(2). 313–320. 1 indexed citations
9.
Miyazawa, Naoki, et al.. (2022). Probability densities of disorientation angles among randomly oriented grains in tricrystals. Journal of Materials Science. 57(4). 3010–3017. 2 indexed citations
10.
Miyazawa, Naoki, et al.. (2021). SEM/EBSD Analysis of Grain Refinement and Coarsening of Ultra-Fine-Grained Al during Simple Shear Deformation. MATERIALS TRANSACTIONS. 62(7). 921–928. 3 indexed citations
11.
Nakada, Nobuo, et al.. (2019). Effects of Mn on Isothermal Transformation Microstructure and Tensile Properties in Medium- and High-carbon Steels. ISIJ International. 59(9). 1667–1675. 10 indexed citations
12.
13.
Nakada, Nobuo, et al.. (2018). Very Fine Structured DP Steel with Tempered-Martensite Matrix Fabricated by Fast Heating. MATERIALS TRANSACTIONS. 59(2). 166–171. 4 indexed citations
14.
Macadre, Arnaud, Nobuo Nakada, Toshihiro Tsuchiyama, & Setsuo Takaki. (2015). Critical grain size to limit the hydrogen-induced ductility drop in a metastable austenitic steel. International Journal of Hydrogen Energy. 40(33). 10697–10703. 41 indexed citations
15.
Tanaka, Yuki, Daichi Akama, Nobuo Nakada, Toshihiro Tsuchiyama, & Setsuo Takaki. (2014). Effect of Pearlite Structure on Lattice Strain in Ferrite Estimated by the Williamson-Hall Method. Tetsu-to-Hagane. 100(10). 1229–1231. 4 indexed citations
16.
Nakada, Nobuo, et al.. (2014). Transition of Phase Transformation Mechanism by Mn addition in High Nitrogen Austenitic Stainless Steel. Tetsu-to-Hagane. 100(9). 1165–1171. 1 indexed citations
17.
18.
Takaki, Setsuo, Daichi Akama, Nobuo Nakada, & Toshihiro Tsuchiyama. (2013). Effect of Grain Boundary Segregation of Interstitial Elements on Hall&ndash;Petch Coefficient in Steels. MATERIALS TRANSACTIONS. 55(1). 28–34. 84 indexed citations
19.
Murakami, Masahiro, et al.. (2011). Evaluation of Dislocation Accumulation and Work Hardening in Ferritic Steels Containing Plastically Deformable Soft Particles. Tetsu-to-Hagane. 97(3). 152–158. 9 indexed citations
20.
Nakada, Nobuo, et al.. (2007). Effect of Duplex-grained Structure on Yield Stress of IF Steels. Tetsu-to-Hagane. 93(7). 513–517. 16 indexed citations

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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