Masaru Noda

115 total papers · 733 total citations
58 papers, 516 citations indexed

About

Masaru Noda is a scholar working on Control and Systems Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Masaru Noda has authored 58 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 14 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Masaru Noda's work include Fault Detection and Control Systems (23 papers), Advanced Control Systems Optimization (12 papers) and Process Optimization and Integration (12 papers). Masaru Noda is often cited by papers focused on Fault Detection and Control Systems (23 papers), Advanced Control Systems Optimization (12 papers) and Process Optimization and Integration (12 papers). Masaru Noda collaborates with scholars based in Japan, Switzerland and Germany. Masaru Noda's co-authors include Shinji Hasebe, Iori Hashimoto, Osamu Tonomura, Manabu Kano, Shotaro Tanaka, Hirokazu Nishitani, Naoki Yoshihara, Xiwei Liu, Yasunori Kikuchi and Masahiko Hirao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Chemical Physics Letters.

In The Last Decade

Masaru Noda

54 papers receiving 498 citations

Author Peers

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

Author						Papers	Cites
Masaru Noda	215	141	110	80	67	58	516
Lemma Dendena Tufa	351 1.6×	218 1.5×	129 1.2×	39 0.5×	29 0.4×	44	580
Tamás Varga	101 0.5×	85 0.6×	125 1.1×	124 1.6×	57 0.9×	69	518
Xavier Joulia	362 1.7×	137 1.0×	137 1.2×	95 1.2×	21 0.3×	37	523
Amir Saeed Shirani	76 0.4×	123 0.9×	138 1.3×	105 1.3×	23 0.3×	43	468
Na Yu	220 1.0×	93 0.7×	60 0.5×	17 0.2×	31 0.5×	32	609
Katarzyna Bizon	54 0.3×	118 0.8×	79 0.7×	38 0.5×	22 0.3×	55	448
Rui Wang	139 0.6×	359 2.5×	169 1.5×	83 1.0×	10 0.1×	36	581
Lingyu Zhu	218 1.0×	136 1.0×	126 1.1×	138 1.7×	9 0.1×	47	542
O.A. Asbjørnsen	301 1.4×	49 0.3×	78 0.7×	55 0.7×	18 0.3×	39	571
Jianping Li	243 1.1×	171 1.2×	121 1.1×	90 1.1×	10 0.1×	25	478

Countries citing papers authored by Masaru Noda

Since Specialization

Citations

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

Fields of papers citing papers by Masaru Noda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Noda

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