Kemal Sönmez

3.1k total citations
61 papers, 1.4k citations indexed

About

Kemal Sönmez is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Kemal Sönmez has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 30 papers in Signal Processing and 11 papers in Molecular Biology. Recurrent topics in Kemal Sönmez's work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (23 papers) and Music and Audio Processing (15 papers). Kemal Sönmez is often cited by papers focused on Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (23 papers) and Music and Audio Processing (15 papers). Kemal Sönmez collaborates with scholars based in United States, Switzerland and Austria. Kemal Sönmez's co-authors include Elizabeth Shriberg, Larry Heck, M. Weintraub, Lawrence Toll, Luciana Ferrer, Andreas Stolcke, Sachin Kajarekar, Harry Bratt, Horacio Franco and Martin Graciarena and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Kemal Sönmez

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kemal Sönmez United States	22	783	616	214	134	113	61	1.4k
Nobuhiro Miki Japan	19	94 0.1×	130 0.2×	154 0.7×	124 0.9×	164 1.5×	108	1.2k
Qiong Li China	25	712 0.9×	375 0.6×	61 0.3×	23 0.2×	50 0.4×	172	1.9k
Gerold Baier Germany	26	78 0.1×	122 0.2×	283 1.3×	342 2.6×	52 0.5×	103	1.9k
Yuchun Tang China	25	426 0.5×	39 0.1×	299 1.4×	69 0.5×	29 0.3×	75	1.6k
Saket Navlakha United States	20	215 0.3×	82 0.1×	703 3.3×	126 0.9×	353 3.1×	51	2.1k
Thorsten Dickhaus Germany	18	134 0.2×	164 0.3×	219 1.0×	535 4.0×	9 0.1×	67	2.6k
Shinpei Hayashi Japan	21	120 0.2×	66 0.1×	732 3.4×	152 1.1×	39 0.3×	109	2.2k
Peihao Chen China	14	243 0.3×	129 0.2×	242 1.1×	23 0.2×	151 1.3×	24	1.1k
Robert E. Yantorno United States	14	172 0.2×	266 0.4×	203 0.9×	98 0.7×	15 0.1×	46	646
Ian C. Bruce Canada	27	149 0.2×	571 0.9×	485 2.3×	131 1.0×	4 0.0×	83	3.0k

Countries citing papers authored by Kemal Sönmez

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kemal Sönmez

This figure shows the co-authorship network connecting the top 25 collaborators of Kemal Sönmez. A scholar is included among the top collaborators of Kemal Sönmez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kemal Sönmez. Kemal Sönmez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Coyner, Aaron S., Jayashree Kalpathy–Cramer, Jimmy Chen, et al.. (2021). A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score. Investigative Ophthalmology & Visual Science. 62(8). 3265–3265. 1 indexed citations

Chen, Jimmy, Aaron S. Coyner, Susan Ostmo, et al.. (2021). Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity. Ophthalmology Retina. 5(10). 1027–1035. 40 indexed citations

Chen, Jimmy, Jamie E. Anderson, Aaron S. Coyner, et al.. (2021). Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment. SHILAP Revista de lepidopterología. 1(4). 100070–100070. 3 indexed citations

Coyner, Aaron S., J. Peter Campbell, Jayashree Kalpathy–Cramer, et al.. (2020). Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models. Investigative Ophthalmology & Visual Science. 61(7). 2166–2166. 2 indexed citations

Swan, Ryan, Sang Jin Kim, J. Peter Campbell, et al.. (2018). The Genetics of Retinopathy of Prematurity: A Model for Neovascular Retinal Disease. Ophthalmology Retina. 2(9). 949–962. 19 indexed citations

Fei, Suzanne S., Cathy D. Vocke, C. Ricketts, et al.. (2016). Patient-specific factors influence somatic variation patterns in von Hippel–Lindau disease renal tumours. Nature Communications. 7(1). 11588–11588. 18 indexed citations

Laderas, Ted, Laura M. Heiser, & Kemal Sönmez. (2015). A Network-Based Model of Oncogenic Collaboration for Prediction of Drug Sensitivity. Frontiers in Genetics. 6. 341–341. 4 indexed citations

Wilhelm, Clare, et al.. (2014). Understanding the addiction cycle: A complex biology with distinct contributions of genotype vs. sex at each stage. Neuroscience. 279. 168–186. 24 indexed citations

Lomniczi, Alejandro, Hollis Wright, Juan M. Castellano, Kemal Sönmez, & Sergio R. Ojeda. (2013). A system biology approach to identify regulatory pathways underlying the neuroendocrine control of female puberty in rats and nonhuman primates. Hormones and Behavior. 64(2). 175–186. 31 indexed citations

10.

Cohen, Aaron, et al.. (2013). Virk: an active learning-based system for bootstrapping knowledge base development in the neurosciences. Frontiers in Neuroinformatics. 7. 38–38. 6 indexed citations

11.

Wright, Hollis, Aaron Cohen, Kemal Sönmez, Gregory S. Yochum, & Shannon K. McWeeney. (2011). Occupancy Classification of Position Weight Matrix-Inferred Transcription Factor Binding Sites. PLoS ONE. 6(11). e26160–e26160. 3 indexed citations

12.

Whelan, Christopher W., Brian Roark, & Kemal Sönmez. (2010). Designing antimicrobial peptides with weighted finite-state transducers. PubMed. 5. 764–767. 4 indexed citations

13.

Ferrer, Luciana, Kemal Sönmez, & Elizabeth Shriberg. (2009). An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems. Journal of Machine Learning Research. 10(72). 2079–2114. 5 indexed citations

14.

Sönmez, Kemal, Ilan A. Kerman, Sharon Burke, et al.. (2009). Evolutionary Sequence Modeling for Discovery of Peptide Hormones. PLoS Computational Biology. 5(1). e1000258–e1000258. 94 indexed citations

15.

Stolcke, Andreas, E. Shriberg, Luciana Ferrer, et al.. (2007). Speech Recognition as Feature Extraction for Speaker Recognition. 1–5. 17 indexed citations

16.

Hasegawa‐Johnson, Mark, James Baker, Sarah Borys, et al.. (2006). Landmark-Based Speech Recognition: Report of the 2004 Johns Hopkins Summer Workshop. PubMed. 1(1415088). 213–216. 67 indexed citations

17.

Kajarekar, Sachin, Luciana Ferrer, Kemal Sönmez, et al.. (2004). Modeling NERFs for speaker recognition.. 51–56. 19 indexed citations

18.

Kajarekar, Sachin, Luciana Ferrer, Anand Venkataraman, et al.. (2004). Speaker recognition using prosodic and lexical features. 19–24. 21 indexed citations

19.

Adalı, Tülay, et al.. (2002). Partial likelihood for real-time signal processing. 6. 3561–3564. 1 indexed citations

20.

Stolcke, Andreas, et al.. (1999). Combining Words and Speech Prosody for Automatic Topic Segmentation. 10 indexed citations

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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