Machiko Ode

1.1k total citations
40 papers, 900 citations indexed

About

Machiko Ode is a scholar working on Materials Chemistry, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Machiko Ode has authored 40 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 26 papers in Aerospace Engineering and 26 papers in Mechanical Engineering. Recurrent topics in Machiko Ode's work include Aluminum Alloy Microstructure Properties (22 papers), Solidification and crystal growth phenomena (22 papers) and Metallurgical Processes and Thermodynamics (9 papers). Machiko Ode is often cited by papers focused on Aluminum Alloy Microstructure Properties (22 papers), Solidification and crystal growth phenomena (22 papers) and Metallurgical Processes and Thermodynamics (9 papers). Machiko Ode collaborates with scholars based in Japan, South Korea and United States. Machiko Ode's co-authors include Seong Gyoon Kim, Yoshishige Suzuki, Won Tae Kim, Toshio Suzuki, Toshio Suzuki, Hideyuki Murakami, Hidehiro Onodera, Taichi Abe, Masato Shimono and Jae Sang Lee and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Journal of Alloys and Compounds.

In The Last Decade

Machiko Ode

37 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Machiko Ode Japan 18 666 557 541 149 83 40 900
H.Q. Ye China 16 481 0.7× 833 1.5× 246 0.5× 117 0.8× 36 0.4× 40 956
M. Kajihara Japan 17 370 0.6× 824 1.5× 372 0.7× 98 0.7× 246 3.0× 34 972
J. C. Lin United States 6 331 0.5× 487 0.9× 206 0.4× 101 0.7× 33 0.4× 10 594
WU Weitao China 17 487 0.7× 679 1.2× 523 1.0× 227 1.5× 118 1.4× 48 945
R. Petkovic‐Luton United States 15 624 0.9× 643 1.2× 480 0.9× 148 1.0× 31 0.4× 26 961
Jianjun Bian China 13 401 0.6× 416 0.7× 231 0.4× 108 0.7× 28 0.3× 31 615
B. D. Bastow United Kingdom 15 506 0.8× 501 0.9× 631 1.2× 62 0.4× 37 0.4× 29 807
T. E. Quested United Kingdom 10 731 1.1× 953 1.7× 913 1.7× 104 0.7× 36 0.4× 13 1.1k
M.‐P. Bacos France 18 617 0.9× 640 1.1× 383 0.7× 120 0.8× 119 1.4× 38 943

Countries citing papers authored by Machiko Ode

Since Specialization
Citations

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

Fields of papers citing papers by Machiko Ode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Machiko Ode

This figure shows the co-authorship network connecting the top 25 collaborators of Machiko Ode. A scholar is included among the top collaborators of Machiko Ode 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 Machiko Ode. Machiko Ode 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.
Ode, Machiko, et al.. (2024). Direct CALPHAD coupling phase-field model: Closed-form expression for interface composition satisfying equal diffusion potential condition. Physical review. E. 109(6). 65303–65303. 1 indexed citations
2.
Ode, Machiko & Ikuo Ohnuma. (2021). A thermal fluctuation-based nucleation method for phase-field models. Computational Materials Science. 194. 110448–110448. 3 indexed citations
3.
Chiba, Aya, Susumu Takamori, Machiko Ode, & Toshiyuki Nishimura. (2019). Influence of Zn Content on Grain Boundary Precipitates on Stress Corrosion Cracking of Al–Zn–Mg Alloys under Environments Containing Chloride Solutions. MATERIALS TRANSACTIONS. 60(9). 1954–1963. 3 indexed citations
4.
Onodera, Hidehiro, Taichi Abe, Machiko Ode, et al.. (2011). Materials Design with Computational Science. Materia Japan. 50(1). 3–10. 1 indexed citations
5.
Ode, Machiko. (2011). Phase-field Method and its Application. JOURNAL OF THE JAPAN WELDING SOCIETY. 80(6). 523–527.
6.
Ode, Machiko, et al.. (2010). Experimental investigation and computer simulation of diffusion in Pt-coated bulk Ni. Journal of Mining and Metallurgy Section B Metallurgy. 46(2). 153–160. 3 indexed citations
7.
Ode, Machiko, et al.. (2009). Interdiffusion in L12-Ni3Al Alloyed with Re. Journal of Phase Equilibria and Diffusion. 30(3). 17 indexed citations
8.
Abe, Taichi, Cenk Kocer, Machiko Ode, et al.. (2008). Thermodynamic re-assessment of the Al–Ir system. Calphad. 32(4). 686–692. 18 indexed citations
9.
Shibata, Mitsuhiro, Seiji Kuroda, Hideyuki Murakami, et al.. (2006). Comparison of Microstructure and Oxidation Behavior of CoNiCrAlY Bond Coatings Prepared by Different Thermal Spray Processes. MATERIALS TRANSACTIONS. 47(7). 1638–1642. 52 indexed citations
10.
Abe, Taichi, Masato Shimono, Machiko Ode, & Hidehiro Onodera. (2006). Estimation of the glass forming ability of the Ni–Zr and the Cu–Zr alloys. Journal of Alloys and Compounds. 434-435. 152–155. 28 indexed citations
11.
Abe, Taichi, Hidehiro Onodera, Masato Shimono, & Machiko Ode. (2005). Thermodynamic Modeling of the Undercooled Liquid in the Ni–Zr System. MATERIALS TRANSACTIONS. 46(12). 2838–2843. 18 indexed citations
12.
Ode, Machiko, Seong Gyoon Kim, Won Tae Kim, & Toshio Suzuki. (2005). Numerical Simulation of Peritectic Reaction in Fe-C Alloy Using a Multi-phase-field Model. ISIJ International. 45(1). 147–149. 8 indexed citations
13.
Ode, Machiko, Hideyuki Murakami, & H. Onodera. (2005). Self-propagating high-temperature synthesis of IrAl and its application to coating process. Scripta Materialia. 52(10). 1057–1062. 13 indexed citations
14.
Kim, Seong Gyoon, et al.. (2003). Phase-field modeling of eutectic solidification. Journal of Crystal Growth. 261(1). 135–158. 123 indexed citations
15.
Liu, X. J., Ikuo Ohnuma, Min Jiang, et al.. (2003). Thermodynamic database on microsolders and copper-based alloy systems. Journal of Electronic Materials. 32(11). 1265–1272. 42 indexed citations
16.
Kobayashi, Hiroki, Machiko Ode, Seong Gyoon Kim, Won Tae Kim, & Yoshishige Suzuki. (2003). Phase-field model for solidification of ternary alloys coupled with thermodynamic database. Scripta Materialia. 48(6). 689–694. 71 indexed citations
17.
Ode, Machiko & Toshio Suzuki. (2002). Numerical Simulation of Initial Microstructure Evolution of Fe-C Alloys Using a Phase-field Model.. ISIJ International. 42(4). 368–374. 19 indexed citations
18.
Ode, Machiko, et al.. (2001). Ostwald Ripening Analysis Using Phase-Field Model. MATERIALS TRANSACTIONS. 42(11). 2410–2414. 5 indexed citations
19.
Ode, Machiko, Seong Gyoon Kim, Won Tae Kim, & Toshio Suzuki. (2001). Numerical Prediction of the Secondary Dendrite Arm Spacing Using a Phase-field Model.. ISIJ International. 41(4). 345–349. 31 indexed citations
20.
Ode, Machiko, et al.. (2000). Numerical Simulation of the Critical Velocity for Particle Pushing/Engulfment Transition in Fe-C alloys Using a Phase-field Model.. ISIJ International. 40(2). 153–160. 11 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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