Leda Sarı

890 citations
24 papers · 174 · h-index 9

Impact in

Papers in

    • Speech Recognition and Synthesis 14
    • Natural Language Processing Techniques 5
    • Topic Modeling 4
    • Speech and dialogue systems 3
    • Domain Adaptation and Few-Shot Learning 1
    • Music and Audio Processing 11
    • Speech and Audio Processing 10

Leda Sarı

21 papers receiving 164 citations

Peers

Leda Sarı
Comparison fields: 5 of 45
  • Signal Processing 101
  • Artificial Intelligence 104
  • Computer Vision and Pattern Recognition 31
  • Atmospheric Science 18
  • Industrial and Manufacturing Engineering 9
Replace Tianchen Zhao with:
Tianchen Zhao China
Timothy Li United States
Changbeom Shim South Korea
Paolo Bolzoni Germany
Shubhendu Trivedi United States
Alexander Robey United States
Steven Farrell United States
R. Di Sipio Italy
Nicklas Eiselt Germany
Fabrice Boudot France
Leda Sarı relative to Tianchen Zhao China Tianchen Zhao's profile →
Citations per field
00.5×7.8×
Tianchen Zhao · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Leda Sarı, 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 Leda Sarı Line = papers co-authored together Leda Sarı links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202129
2 200228
3 202018
4 202312
5 202111
6 201911
7 201510
8 202210
9 20209
10 20148
11 20206
12 20195
13 20164
14 20214
15 20152
16 20202
17 20201
18 20251
19 20241
20 20181

About Leda Sarı

Leda Sarı is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, General Health Professions and Health Information Management, having authored 24 papers that have together received 174 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Music and Audio Processing (11 papers), Speech and Audio Processing (10 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Speech and dialogue systems (3 papers), Phonetics and Phonology Research (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Signal Processing (101 citations), Artificial Intelligence (104 citations), Computer Vision and Pattern Recognition (31 citations), Atmospheric Science (18 citations) and Industrial and Manufacturing Engineering (9 citations). Leda Sarı has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Mark Hasegawa‐Johnson, Samuel Thomas, Vi̇ktorya Avi̇yente, Yatharth Saraf, Takaaki Hori, Lorenzo Torresani, Niko Moritz, Nayan Singhal, Jonathan Le Roux and Kritika Singh. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Physical Chemistry Chemical Physics, Speech Communication, Proceedings of the Human Factors and Ergonomics Society Annual Meeting and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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