Seibi Chiba

7.0k total citations · 1 hit paper
5 papers, 4.5k citations indexed

About

Seibi Chiba is a scholar working on Signal Processing, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Seibi Chiba has authored 5 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 3 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Seibi Chiba's work include Time Series Analysis and Forecasting (3 papers), Music and Audio Processing (2 papers) and Neural Networks and Applications (2 papers). Seibi Chiba is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Music and Audio Processing (2 papers) and Neural Networks and Applications (2 papers). Seibi Chiba collaborates with scholars based in Japan. Seibi Chiba's co-authors include Hiroaki Sakoe, Takao Watanabe, Tomoharu Iwata and Y. Kawakami and has published in prestigious journals such as Computer Speech & Language and IEEE Transactions on Acoustics Speech and Signal Processing.

In The Last Decade

Seibi Chiba

5 papers receiving 4.2k citations

Hit Papers

Dynamic programming algorithm optimization for spoken wor... 1978 2026 1994 2010 1978 1000 2.0k 3.0k 4.0k

Peers

Seibi Chiba
James Clifford United States
Felix A. Gers Switzerland
Tim Oates United States
Fred Cummins Ireland
Michael E. Tipping United Kingdom
Jan Koutník Switzerland
Seibi Chiba
Citations per year, relative to Seibi Chiba Seibi Chiba (= 1×) peers Hiroaki Sakoe

Countries citing papers authored by Seibi Chiba

Since Specialization
Citations

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

Fields of papers citing papers by Seibi Chiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seibi Chiba

This figure shows the co-authorship network connecting the top 25 collaborators of Seibi Chiba. A scholar is included among the top collaborators of Seibi Chiba 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 Seibi Chiba. Seibi Chiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Sakoe, Hiroaki, et al.. (2005). A microprocessor for speech recognition. 8. 503–506. 3 indexed citations
2.
Sakoe, Hiroaki, et al.. (2005). Connected digit speech recognition by using demi-word pair reference pattern (DWPR). 11. 1073–1076. 1 indexed citations
3.
Chiba, Seibi, et al.. (1987). A speaker-independent word-recognition system using multiple classification functions. Computer Speech & Language. 2(1). 13–26. 2 indexed citations
4.
Sakoe, Hiroaki & Seibi Chiba. (1978). Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics Speech and Signal Processing. 26(1). 43–49. 4268 indexed citations breakdown →
5.
Sakoe, Hiroaki & Seibi Chiba. (1971). A Dynamic Programming Approach to Continuous Speech Recognition. 259 indexed citations

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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