Sakriani Sakti

173 papers and 1.4k indexed citations i.

About

Sakriani Sakti is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sakriani Sakti has authored 173 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Artificial Intelligence, 65 papers in Signal Processing and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sakriani Sakti’s work include Speech Recognition and Synthesis (104 papers), Natural Language Processing Techniques (70 papers) and Speech and Audio Processing (55 papers). Sakriani Sakti is often cited by papers focused on Speech Recognition and Synthesis (104 papers), Natural Language Processing Techniques (70 papers) and Speech and Audio Processing (55 papers). Sakriani Sakti collaborates with scholars based in Japan, Indonesia and United States. Sakriani Sakti's co-authors include Satoshi Nakamura, Andros Tjandra, Tomoki Toda, Graham Neubig, Graham Neubig, Michael Heck, Yusuke Oda, Yang Wu, Shinnosuke Takamichi and Fan Yang and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Sakriani Sakti i

Fields of papers citing papers by Sakriani Sakti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sakriani Sakti

Since Specialization
Citations

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

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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2025