Shoko Araki

324 total papers · 7.7k total citations
219 papers, 4.7k citations indexed

About

Shoko Araki is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Shoko Araki has authored 219 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Signal Processing, 105 papers in Computational Mechanics and 64 papers in Artificial Intelligence. Recurrent topics in Shoko Araki's work include Speech and Audio Processing (200 papers), Blind Source Separation Techniques (117 papers) and Advanced Adaptive Filtering Techniques (104 papers). Shoko Araki is often cited by papers focused on Speech and Audio Processing (200 papers), Blind Source Separation Techniques (117 papers) and Advanced Adaptive Filtering Techniques (104 papers). Shoko Araki collaborates with scholars based in Japan, United States and Germany. Shoko Araki's co-authors include Shoji Makino, Hiroshi Sawada, Ryo Mukai, Tomohiro Nakatani, Marc Delcroix, Keisuke Kinoshita, Nobutaka Ito, Hiroshi Saruwatari, Tsuyoki Nishikawa and Masakiyo Fujimoto and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and Electronics Letters.

In The Last Decade

Shoko Araki

202 papers receiving 4.3k citations

Author Peers

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

Author Last Decade Papers Cites
Shoko Araki 4.3k 2.3k 1.2k 332 224 219 4.7k
Scott Rickard 1.9k 0.4× 1.1k 0.5× 343 0.3× 221 0.7× 414 1.8× 93 2.8k
Hiroshi Sawada 3.3k 0.8× 2.0k 0.9× 689 0.6× 229 0.7× 299 1.3× 218 4.4k
Kiyohiro Shikano 5.2k 1.2× 1.1k 0.5× 4.9k 4.2× 394 1.2× 974 4.3× 417 7.4k
Hiroshi Saruwatari 4.2k 1.0× 2.0k 0.9× 1.8k 1.5× 390 1.2× 445 2.0× 486 4.9k
Emmanuel Vincent 6.3k 1.5× 2.4k 1.0× 2.3k 1.9× 769 2.3× 989 4.4× 231 8.3k
Bhiksha Raj 3.6k 0.8× 894 0.4× 2.8k 2.4× 399 1.2× 2.5k 11.0× 233 6.3k
Zheng‐Hua Tan 2.7k 0.6× 452 0.2× 2.2k 1.9× 406 1.2× 581 2.6× 212 3.9k
William A. Sethares 1.1k 0.3× 646 0.3× 558 0.5× 514 1.5× 662 3.0× 149 3.0k
Shoji Makino 4.5k 1.0× 2.9k 1.3× 613 0.5× 589 1.8× 319 1.4× 263 4.9k
Guy J. Brown 2.5k 0.6× 709 0.3× 842 0.7× 1.1k 3.3× 472 2.1× 120 3.3k

Countries citing papers authored by Shoko Araki

Since Specialization
Citations

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

Fields of papers citing papers by Shoko Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Araki

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026