Leda Sarı

809 citations
23 papers · 168 · h-index 9

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling

Papers in

    • Speech Recognition and Synthesis 13
    • Natural Language Processing Techniques 5
    • Topic Modeling 4
    • Speech and dialogue systems 3
    • Music and Audio Processing 11
    • Speech and Audio Processing 9

Leda Sarı

21 papers receiving 157 citations

Peers

Leda Sarı
Comparison fields: 5 of 46
  • Signal Processing 95
  • Artificial Intelligence 99
  • Computer Vision and Pattern Recognition 30
  • Atmospheric Science 19
  • Industrial and Manufacturing Engineering 9
Replace Tianchen Zhao with:
Tianchen Zhao China
Timothy Li United States
Paolo Bolzoni Germany
Alexander Robey United States
Nicklas Eiselt Germany
R. Di Sipio Italy
Fabrice Boudot France
Steven Farrell United States
Atul Kumar Srivastava India
D. Oliveira Damazio Brazil
Leda Sarı relative to Tianchen Zhao China Tianchen Zhao's profile →
Citations per field
00.5×7.3×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200228
2 202128
3 202017
4 201912
5 202110
6 202210
7 201510
8 20239
9 20148
10 20208
11 20206
12 20195
13 20214
14 20164
15 20202
16 20152
17 20251
18 20251
19 20241
20 20181

About Leda Sarı

Leda Sarı is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, General Health Professions and Health Information Management, having authored 23 papers that have together received 168 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Music and Audio Processing (11 papers), Speech and Audio Processing (9 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Speech and dialogue systems (3 papers), Molecular Spectroscopy and Structure (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Signal Processing (95 citations), Artificial Intelligence (99 citations), Computer Vision and Pattern Recognition (30 citations), Atmospheric Science (19 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, Murat Saraçlar, Nayan Singhal, Kritika Singh, Lorenzo Torresani, Jonathan Le Roux and Takaaki Hori. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Physical Chemistry Chemical Physics, Speech Communication, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Indonesian Journal of Science and Mathematics Education.

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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