Naoko Ikeo

75 total papers · 712 total citations
41 papers, 542 citations indexed

About

Naoko Ikeo is a scholar working on Mechanical Engineering, Biomaterials and Materials Chemistry. According to data from OpenAlex, Naoko Ikeo has authored 41 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 23 papers in Biomaterials and 20 papers in Materials Chemistry. Recurrent topics in Naoko Ikeo's work include Magnesium Alloys: Properties and Applications (23 papers), Aluminum Alloys Composites Properties (20 papers) and Additive Manufacturing Materials and Processes (11 papers). Naoko Ikeo is often cited by papers focused on Magnesium Alloys: Properties and Applications (23 papers), Aluminum Alloys Composites Properties (20 papers) and Additive Manufacturing Materials and Processes (11 papers). Naoko Ikeo collaborates with scholars based in Japan and Switzerland. Naoko Ikeo's co-authors include Toshiji Mukai, Takuya Ishimoto, Takayoshi Nakano, Hiroyuki Watanabe, Masatake Yamaguchi, Takumi Fukumoto, Ai Serizawa, Toshihiko Yoshida, Takeshi Urade and Yonson Ku and has published in prestigious journals such as Acta Materialia, Acta Biomaterialia and Journal of Alloys and Compounds.

In The Last Decade

Naoko Ikeo

38 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
Naoko Ikeo	414	320	256	106	87	41	542
Mingshi Song	242 0.6×	233 0.7×	209 0.8×	120 1.1×	43 0.5×	26	491
Martin Wolff	339 0.8×	334 1.0×	274 1.1×	138 1.3×	35 0.4×	24	542
Jichang Xie	443 1.1×	101 0.3×	158 0.6×	95 0.9×	108 1.2×	28	618
Sudin Izman	294 0.7×	303 0.9×	280 1.1×	245 2.3×	33 0.4×	36	573
Yulin Cheng	267 0.6×	99 0.3×	270 1.1×	68 0.6×	42 0.5×	27	525
Changhong Guo	285 0.7×	265 0.8×	407 1.6×	59 0.6×	36 0.4×	21	590
Bo-Young Hur	382 0.9×	167 0.5×	183 0.7×	65 0.6×	100 1.1×	31	509
Irena Paulin	413 1.0×	91 0.3×	325 1.3×	53 0.5×	82 0.9×	52	571
Pralhad Pesode	196 0.5×	183 0.6×	246 1.0×	270 2.5×	89 1.0×	27	513
Sepideh Kamrani	420 1.0×	313 1.0×	251 1.0×	116 1.1×	30 0.3×	21	593

Countries citing papers authored by Naoko Ikeo

Since Specialization

Citations

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

Fields of papers citing papers by Naoko Ikeo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Ikeo

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