Z. Maekawa

34 total papers · 719 total citations
21 papers, 504 citations indexed

About

Z. Maekawa is a scholar working on Speech and Hearing, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Z. Maekawa has authored 21 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Speech and Hearing, 11 papers in Biomedical Engineering and 5 papers in Cognitive Neuroscience. Recurrent topics in Z. Maekawa's work include Noise Effects and Management (13 papers), Acoustic Wave Phenomena Research (11 papers) and Hearing Loss and Rehabilitation (5 papers). Z. Maekawa is often cited by papers focused on Noise Effects and Management (13 papers), Acoustic Wave Phenomena Research (11 papers) and Hearing Loss and Rehabilitation (5 papers). Z. Maekawa collaborates with scholars based in Japan, Türkiye and Austria. Z. Maekawa's co-authors include P. R. Lord, Masato Morimoto, Selma Kurra, Yukio Ando, Kyoji Fujiwara, Jens Holger Rindel, Masayuki Morimoto, Hideki Tachibana, Yoshio Yamasaki and Kazuhiro Iida and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration and Applied Acoustics.

In The Last Decade

Z. Maekawa

17 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Z. Maekawa	350	260	117	100	95	21	504
Felix Langfeldt	492 1.4×	267 1.0×	163 1.4×	127 1.3×	79 0.8×	20	557
Benoît Gauvreau	253 0.7×	265 1.0×	69 0.6×	67 0.7×	118 1.2×	43	476
Javier Redondo	397 1.1×	129 0.5×	106 0.9×	91 0.9×	39 0.4×	52	537
Chen Shao	362 1.0×	208 0.8×	211 1.8×	29 0.3×	76 0.8×	16	492
Fergus R. Fricke	247 0.7×	209 0.8×	117 1.0×	152 1.5×	43 0.5×	54	600
Yasushi Miki	546 1.6×	218 0.8×	170 1.5×	44 0.4×	126 1.3×	9	593
W. Gleine	485 1.4×	263 1.0×	160 1.4×	125 1.3×	79 0.8×	18	562
Peter Møller Juhl	270 0.8×	94 0.4×	103 0.9×	95 0.9×	36 0.4×	45	563
Franck Poisson	166 0.5×	121 0.5×	207 1.8×	47 0.5×	100 1.1×	37	514
Walter W. Soroka	328 0.9×	88 0.3×	179 1.5×	44 0.4×	51 0.5×	17	459

Countries citing papers authored by Z. Maekawa

Since Specialization

Citations

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

Fields of papers citing papers by Z. Maekawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z. Maekawa

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