Kemal Sönmez
- Signal Processing top 1%
- Speech and Audio Processing 23
- Music and Audio Processing 15
- Blind Source Separation Techniques 5
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 24
- Neural Networks and Applications 6
- Reproductive Medicine top 10%
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- Neonatal and fetal brain pathology 6
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- Retinopathy of Prematurity Studies 6
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- Machine Learning in Bioinformatics 4
- Co-authors
- Elizabeth ShribergLarry HeckM. WeintraubLawrence TollLuciana FerrerAndreas StolckeSachin KajarekarHarry Bratt
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Kemal Sönmez
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Signal Processing 616
- Artificial Intelligence 783
- Endocrine and Autonomic Systems 113
- Reproductive Medicine 76
- Experimental and Cognitive Psychology 99
Countries citing papers authored by Kemal Sönmez
This map shows the geographic impact of Kemal Sönmez'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 Kemal Sönmez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kemal Sönmez more than expected).
Fields of papers citing papers by Kemal Sönmez
This network shows the impact of papers produced by Kemal Sönmez. 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 Kemal Sönmez. The network helps show where Kemal Sönmez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kemal Sönmez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score | 2021 | 1 |
| 2 | 2021 | 40 | |
| 3 | 2021 | 3 | |
| 4 | Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models | 2020 | 2 |
| 5 | 2018 | 19 | |
| 6 | 2016 | 18 | |
| 7 | 2015 | 4 | |
| 8 | 2014 | 24 | |
| 9 | 2013 | 31 | |
| 10 | 2013 | 6 | |
| 11 | 2011 | 3 | |
| 12 | 2010 | 4 | |
| 13 | An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems | 2009 | 5 |
| 14 | 2009 | 94 | |
| 15 | 2007 | 17 | |
| 16 | 2006 | 67 | |
| 17 | Modeling NERFs for speaker recognition. | 2004 | 19 |
| 18 | 2004 | 21 | |
| 19 | 2002 | 1 | |
| 20 | Combining Words and Speech Prosody for Automatic Topic Segmentation | 1999 | 10 |
About Kemal Sönmez
Kemal Sönmez is a scholar working on Signal Processing, Artificial Intelligence and Biological Psychiatry, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (23 papers), Music and Audio Processing (15 papers), Neonatal and fetal brain pathology (6 papers), Neural Networks and Applications (6 papers), Retinopathy of Prematurity Studies (6 papers), Blind Source Separation Techniques (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Signal Processing (616 citations), Artificial Intelligence (783 citations) and Endocrine and Autonomic Systems (113 citations). Kemal Sönmez has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Elizabeth Shriberg, Larry Heck, M. Weintraub, Lawrence Toll, Luciana Ferrer, Andreas Stolcke, Sachin Kajarekar, Harry Bratt, Horacio Franco and Martin Graciarena. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.
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.