Naoki Masuyama

112 total papers · 1.1k total citations
61 papers, 630 citations indexed

About

Naoki Masuyama is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naoki Masuyama has authored 61 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 25 papers in Computational Theory and Mathematics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naoki Masuyama's work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (19 papers). Naoki Masuyama is often cited by papers focused on Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (19 papers). Naoki Masuyama collaborates with scholars based in Japan, China and Malaysia. Naoki Masuyama's co-authors include Yusuke Nojima, Hisao Ishibuchi, Yiping Liu, Chu Kiong Loo, Gary G. Yen, Manjeevan Seera, Takashi Matsumoto, Zongying Liu, Kitsuchart Pasupa and Yuyan Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Naoki Masuyama

53 papers receiving 620 citations

Author Peers

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

Author						Papers	Cites
Naoki Masuyama	494	350	68	59	45	61	630
Wilfried Brauer	303 0.6×	225 0.6×	52 0.8×	33 0.6×	47 1.0×	44	706
Matt Webster	344 0.7×	197 0.6×	44 0.6×	11 0.2×	44 1.0×	40	719
Lixin Ding	324 0.7×	172 0.5×	101 1.5×	41 0.7×	62 1.4×	64	593
Ronggui Wang	348 0.7×	152 0.4×	243 3.6×	56 0.9×	32 0.7×	59	691
Dan E. Tamir	267 0.5×	103 0.3×	67 1.0×	245 4.2×	66 1.5×	56	607
Sonia Cafieri	104 0.2×	129 0.4×	40 0.6×	29 0.5×	90 2.0×	47	653
Bernhard Moser	352 0.7×	172 0.5×	118 1.7×	88 1.5×	97 2.2×	56	666
Ashraf Salem	117 0.2×	145 0.4×	54 0.8×	18 0.3×	54 1.2×	92	660
Ebru Aydın Göl	188 0.4×	334 1.0×	88 1.3×	20 0.3×	186 4.1×	35	609
Hao Wang	478 1.0×	71 0.2×	191 2.8×	33 0.6×	17 0.4×	64	778

Countries citing papers authored by Naoki Masuyama

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Masuyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Masuyama

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact