N. Koeda

1.5k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

N. Koeda is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Mechanical Engineering. According to data from OpenAlex, N. Koeda has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Electronic, Optical and Magnetic Materials and 2 papers in Mechanical Engineering. Recurrent topics in N. Koeda's work include Shape Memory Alloy Transformations (8 papers), Magnetic Properties and Applications (3 papers) and Magnetic Properties of Alloys (2 papers). N. Koeda is often cited by papers focused on Shape Memory Alloy Transformations (8 papers), Magnetic Properties and Applications (3 papers) and Magnetic Properties of Alloys (2 papers). N. Koeda collaborates with scholars based in Japan and United States. N. Koeda's co-authors include Yuji Sutou, Ryosuke Kainuma, Toshihiro Omori, K. Ishida, Katsunari Oikawa, Y. Imano, Kiyohito Ishida and Hidekazu Suzuki and has published in prestigious journals such as Applied Physics Letters, Acta Materialia and Materials Science and Engineering A.

In The Last Decade

N. Koeda

8 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Magnetic and martensitic transformations of NiMnX(X=In,Sn,Sb) ferromagnetic shape memory alloys

2004 941 citations Yuji Sutou, Y. Imano et al. Applied Physics Letters profile →

Peers

N. Koeda

MC

EOMM

ME

ECP

MM

B. Basaran United States

Y. I. Chumlyakov United States

R.D. Noebe United States

N. Lanska Finland

Huilong Hou China

N. Scheerbaum Germany

Ladislav Straka Czechia

P. Lázpita Spain

Yu. N. Koval Ukraine

Glen S. Bigelow United States

B. Basaran United States

N. Koeda

1.8k ×1.5

MC

892 ×1.1

EOMM

451 ×1.4

ME

132 ×1.2

ECP

62 ×1.5

MM

Citations per year, relative to N. Koeda N. Koeda (= 1×) peers B. Basaran

Countries citing papers authored by N. Koeda

Since Specialization

Citations

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

Fields of papers citing papers by N. Koeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Koeda

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Sutou, Yuji, N. Koeda, Toshihiro Omori, Ryosuke Kainuma, & K. Ishida. (2009). Effects of ageing on bainitic and thermally induced martensitic transformations in ductile Cu–Al–Mn-based shape memory alloys. Acta Materialia. 57(19). 5748–5758. 95 indexed citations

2.

Sutou, Yuji, N. Koeda, Toshihiro Omori, Ryosuke Kainuma, & K. Ishida. (2009). Effects of aging on stress-induced martensitic transformation in ductile Cu–Al–Mn-based shape memory alloys. Acta Materialia. 57(19). 5759–5770. 79 indexed citations

3.

Omori, Toshihiro, N. Koeda, Yuji Sutou, Ryosuke Kainuma, & Kiyohito Ishida. (2007). Superplasticity of Cu-Al-Mn-Ni Shape Memory Alloy. MATERIALS TRANSACTIONS. 48(11). 2914–2918. 29 indexed citations

4.

Sutou, Yuji, Toshihiro Omori, N. Koeda, Ryosuke Kainuma, & K. Ishida. (2006). Effects of grain size and texture on damping properties of Cu–Al–Mn-based shape memory alloys. Materials Science and Engineering A. 438-440. 743–746. 70 indexed citations

5.

Koeda, N., Toshihiro Omori, Yuji Sutou, et al.. (2005). Damping Properties of Ductile Cu-Al-Mn-Based Shape Memory Alloys. MATERIALS TRANSACTIONS. 46(1). 118–122. 31 indexed citations

6.

Koeda, N., Yuji Sutou, Toshihiro Omori, et al.. (2005). Martensitic transformation of Cu–10at.%Al–9at.%Ga–11at.%Mn ferromagnetic β alloy. Scripta Materialia. 52(11). 1153–1156. 7 indexed citations

7.

Oikawa, Katsunari, N. Koeda, Yuji Sutou, et al.. (2004). Martensitic Transformation and Magnetic Properties of Cu-Ga-Mn β Alloys. MATERIALS TRANSACTIONS. 45(8). 2780–2784. 26 indexed citations

8.

Sutou, Yuji, Y. Imano, N. Koeda, et al.. (2004). Magnetic and martensitic transformations of NiMnX(X=In,Sn,Sb) ferromagnetic shape memory alloys. Applied Physics Letters. 85(19). 4358–4360. 941 indexed citations breakdown →

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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