Sumio Ohno

408 citations
49 papers · 263 · h-index 9

Impact in

Papers in

Sumio Ohno

41 papers receiving 229 citations

Peers

Sumio Ohno
Comparison fields: 5 of 23
  • Experimental and Cognitive Psychology 165
  • Signal Processing 117
  • Artificial Intelligence 193
  • Linguistics and Language 19
  • Computer Vision and Pattern Recognition 22
Replace Julie Carson-Berndsen with:
Julie Carson-Berndsen Ireland
Taniya Mishra United States
Judith M. Kessens Netherlands
Norbert Braunschweiler United Kingdom
Richard Winski Netherlands
Mahmood Bijankhan Iran
Albino Nogueiras Rodríguez Spain
Wojciech Majewski Poland
Thomas Portele Germany
Volker Strom United Kingdom
Sumio Ohno relative to Julie Carson-Berndsen Ireland Julie Carson-Berndsen's profile →
Citations per field
00.5×1.7×
Julie Carson-Berndsen · 1×
Citations per year

Countries citing papers authored by Sumio Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Sumio Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Sumio Ohno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sumio Ohno Line = papers co-authored together Sumio Ohno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200552
2 201229
3 199416
4 199515
5
A command-response model for F 0 contour generation in multilingual speech synthesis.
199813
6 200211
7 200511
8 20008
9 19958
10 20027
11 20037
12 20236
13 20115
14 20025
15 20005
16 19985
17 20005
18 20085
19 19975
20 19945

About Sumio Ohno

Sumio Ohno is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Computer Vision and Pattern Recognition and Social Psychology, having authored 49 papers that have together received 263 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Phonetics and Phonology Research (13 papers), Speech and Audio Processing (12 papers), Speech and dialogue systems (8 papers), Advanced Data Compression Techniques (5 papers), Emotion and Mood Recognition (5 papers), Natural Language Processing Techniques (3 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (165 citations), Signal Processing (117 citations), Artificial Intelligence (193 citations), Linguistics and Language (19 citations) and Computer Vision and Pattern Recognition (22 citations). Sumio Ohno has collaborated with scholars based in Japan and China. Frequent co-authors include Hiroya Fujisaki, Changfu Wang, Wentao Gu, Hiroshi Fujisaki, Hitoshi Iida, Jorge A. Gurlekian, Miguelina Guirao, Jinhua She, Takashi Yagi and Diamantino Freitas. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication, Language Resources and Evaluation, Asia Pacific Education Review and Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi.

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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