Leda Sarı

15 papers and 126 indexed citations i.

About

Leda Sarı is a scholar working on Artificial Intelligence, Signal Processing and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Leda Sarı has authored 15 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Signal Processing and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Leda Sarı’s work include Speech Recognition and Synthesis (9 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (8 papers). Leda Sarı is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (8 papers). Leda Sarı collaborates with scholars based in United States, South Korea and Canada. Leda Sarı's co-authors include Mark Hasegawa‐Johnson, Samuel Thomas, Vi̇ktorya Avi̇yente, Yatharth Saraf, Jonathan Le Roux, Takaaki Hori, Lorenzo Torresani, Kritika Singh, Niko Moritz and Murat Saraçlar and has published in prestigious journals such as Physical Chemistry Chemical Physics, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Leda Sarı i

Fields of papers citing papers by Leda Sarı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leda Sarı

Since Specialization
Citations

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