Kiyoaki Aikawa

85 total papers · 486 total citations
42 papers, 355 citations indexed

About

Kiyoaki Aikawa is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kiyoaki Aikawa has authored 42 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kiyoaki Aikawa's work include Speech and dialogue systems (17 papers), Speech Recognition and Synthesis (16 papers) and Speech and Audio Processing (13 papers). Kiyoaki Aikawa is often cited by papers focused on Speech and dialogue systems (17 papers), Speech Recognition and Synthesis (16 papers) and Speech and Audio Processing (13 papers). Kiyoaki Aikawa collaborates with scholars based in Japan, United States and Indonesia. Kiyoaki Aikawa's co-authors include Mikio Nakano, Ryuichiro Higashinaka, Hideki Kawahara, Alain de Cheveigné, Minoru Tsuzaki, Hiromitsu Nishizaki, Tatsuya Kawahara, Tomoko Matsui, Noboru Miyazaki and Kohji Dohsaka and has published in prestigious journals such as The Journal of the Acoustical Society of America, Speech Communication and Language Resources and Evaluation.

In The Last Decade

Kiyoaki Aikawa

37 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Kiyoaki Aikawa	262	102	72	33	25	42	355
Aitzol Ezeiza	169 0.6×	60 0.6×	79 1.1×	48 1.5×	19 0.8×	23	351
Willemijn Heeren	130 0.5×	102 1.0×	71 1.0×	142 4.3×	19 0.8×	46	298
Eric Sanders	191 0.7×	69 0.7×	16 0.2×	74 2.2×	12 0.5×	47	345
Michelle Cohn	193 0.7×	46 0.5×	96 1.3×	161 4.9×	41 1.6×	39	361
Lennart Nord	154 0.6×	87 0.9×	69 1.0×	232 7.0×	36 1.4×	29	376
Jérôme Farinas	202 0.8×	154 1.5×	40 0.6×	81 2.5×	24 1.0×	35	340
Jeffrey Berry	150 0.6×	127 1.2×	73 1.0×	195 5.9×	18 0.7×	34	382
Tadahisa Kondo	116 0.4×	72 0.7×	121 1.7×	108 3.3×	7 0.3×	33	346
Jochen Weiner	241 0.9×	75 0.7×	46 0.6×	72 2.2×	7 0.3×	17	345
David Suendermann‐Oeft	274 1.0×	66 0.6×	28 0.4×	55 1.7×	3 0.1×	44	379

Countries citing papers authored by Kiyoaki Aikawa

Since Specialization

Citations

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

Fields of papers citing papers by Kiyoaki Aikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoaki Aikawa

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