Kenichi Kumatani

72 total papers · 895 total citations
39 papers, 487 citations indexed

About

Kenichi Kumatani is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Kenichi Kumatani has authored 39 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Signal Processing, 22 papers in Computational Mechanics and 16 papers in Artificial Intelligence. Recurrent topics in Kenichi Kumatani's work include Speech and Audio Processing (36 papers), Advanced Adaptive Filtering Techniques (22 papers) and Speech Recognition and Synthesis (15 papers). Kenichi Kumatani is often cited by papers focused on Speech and Audio Processing (36 papers), Advanced Adaptive Filtering Techniques (22 papers) and Speech Recognition and Synthesis (15 papers). Kenichi Kumatani collaborates with scholars based in United States, Germany and Switzerland. Kenichi Kumatani's co-authors include John McDonough, Bhiksha Raj, Dietrich Klakow, Nikko Ström, Minhua Wu, Weifeng Li, Philip N. Garner, Jill Fain Lehman, Matthias Wölfel and Tobias Gehrig and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing and IEICE Transactions on Information and Systems.

In The Last Decade

Kenichi Kumatani

36 papers receiving 429 citations

Author Peers

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

Author						Papers	Cites
Kenichi Kumatani	417	227	165	73	43	39	487
Yan-Hui Tu	412 1.0×	270 1.2×	120 0.7×	39 0.5×	25 0.6×	29	494
Afsaneh Asaei	366 0.9×	185 0.8×	160 1.0×	140 1.9×	57 1.3×	51	489
Masahito Togami	341 0.8×	95 0.4×	197 1.2×	56 0.8×	45 1.0×	75	460
E.B. George	401 1.0×	187 0.8×	120 0.7×	25 0.3×	153 3.6×	19	457
Buye Xu	338 0.8×	178 0.8×	146 0.9×	32 0.4×	20 0.5×	49	407
Ernst Warsitz	265 0.6×	109 0.5×	171 1.0×	75 1.0×	29 0.7×	19	416
Russell J. Niederjohn	326 0.8×	140 0.6×	127 0.8×	28 0.4×	45 1.0×	43	411
Abhijit Karmakar	174 0.4×	121 0.5×	87 0.5×	60 0.8×	183 4.3×	53	454
Volker Leutnant	491 1.2×	310 1.4×	163 1.0×	18 0.2×	34 0.8×	16	518
Christophe Beaugeant	437 1.0×	118 0.5×	312 1.9×	39 0.5×	47 1.1×	51	482

Countries citing papers authored by Kenichi Kumatani

Since Specialization

Citations

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

Fields of papers citing papers by Kenichi Kumatani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichi Kumatani

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