S. Gurbuz

526 total citations
11 papers, 370 citations indexed

About

S. Gurbuz is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Gurbuz has authored 11 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Gurbuz's work include Speech and Audio Processing (6 papers), Music and Audio Processing (4 papers) and Speech Recognition and Synthesis (2 papers). S. Gurbuz is often cited by papers focused on Speech and Audio Processing (6 papers), Music and Audio Processing (4 papers) and Speech Recognition and Synthesis (2 papers). S. Gurbuz collaborates with scholars based in United States, Japan and Türkiye. S. Gurbuz's co-authors include Zekeriya TÜFEKCİ, J.N. Gowdy, Jorge E. Caviedes, Eric Patterson, Gordon Cheng, Marcia Riley, Keisuke Kinoshita, M. Murugappan, Robert J. Schalkoff and Fatma Lati̇foğlu and has published in prestigious journals such as International Journal of Neuroscience, IYTE GCRIS Database (Izmir Institute of Technology) and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

S. Gurbuz

11 papers receiving 323 citations

Peers

S. Gurbuz

SP

CVPR

AI

MT

EEE

Erik Hjelmås United Kingdom

Bernhard Fröba Germany

Xiaozheng Zhang Australia

Giridharan Iyengar United States

Rudrabha Mukhopadhyay India

K. Gopalan United States

Mohammed Beladgham Algeria

Gabriele Sabatino Italy

K. Sobottka Switzerland

Ryoichi Komiya Malaysia

Erik Hjelmås United Kingdom

S. Gurbuz

98 ×0.4

SP

580 ×2.7

CVPR

46 ×0.7

AI

58 ×1.0

MT

23 ×0.8

EEE

Citations per year, relative to S. Gurbuz S. Gurbuz (= 1×) peers Erik Hjelmås

Countries citing papers authored by S. Gurbuz

Since Specialization

Citations

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

Fields of papers citing papers by S. Gurbuz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Gurbuz

This figure shows the co-authorship network connecting the top 25 collaborators of S. Gurbuz. A scholar is included among the top collaborators of S. Gurbuz 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 S. Gurbuz. S. Gurbuz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Lati̇foğlu, Fatma, et al.. (2025). EEG signal analysis for the classification of Alzheimer’s and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques. International Journal of Neuroscience. 136(3). 286–299. 1 indexed citations

2.

Gurbuz, S., et al.. (2024). Matematik Öğretmenlerinin Matematik Dersinde Yapay Zekâ Kullanımına Yönelik Yeterlilik Algıları (Mathematics Teachers Perceptions of Competence Regarding the Use of Artificial Intelligence in Mathematics Lessons). Turk Turizm Arastirmalari Dergisi. 2 indexed citations

3.

Gurbuz, S., et al.. (2006). Real-time stereo facial feature tracking: mimicking human mouth movement on a humanoid robot head. 1. 363–368. 5 indexed citations

4.

TÜFEKCİ, Zekeriya & S. Gurbuz. (2006). Noise Robust Speaker Verification Using Mel-Frequency Discrete Wavelet Coefficients and Parallel Model Compensation. IYTE GCRIS Database (Izmir Institute of Technology). 1. 657–660. 11 indexed citations

5.

Gurbuz, S., et al.. (2005). Biologically valid jaw movements for talking humanoid robots. 2. 781–793. 3 indexed citations

6.

Caviedes, Jorge E. & S. Gurbuz. (2003). No-reference sharpness metric based on local edge kurtosis. Proceedings - International Conference on Image Processing. 1. III–53. 113 indexed citations

7.

Patterson, Eric, S. Gurbuz, Zekeriya TÜFEKCİ, & J.N. Gowdy. (2002). CUAVE: A new audio-visual database for multimodal human-computer interface research. IEEE International Conference on Acoustics Speech and Signal Processing. II–2017. 199 indexed citations

8.

Gurbuz, S., Zekeriya TÜFEKCİ, Eric Patterson, & J.N. Gowdy. (2002). Application of affine-invariant Fourier descriptors to lipreading for audio-visual speech recognition. 1. 177–180. 26 indexed citations

9.

Gurbuz, S., Zekeriya TÜFEKCİ, Eric Patterson, & J.N. Gowdy. (2002). Independent information from visual features for multimodal speech recognition. 221–228. 1 indexed citations

10.

Gurbuz, S., J.N. Gowdy, & Zekeriya TÜFEKCİ. (2002). Speech spectrogram based model adaptation for speaker identification. 2. 110–115. 8 indexed citations

11.

Gurbuz, S., et al.. (2002). Surface blemish detection from passive imagery using learned fuzzy set concepts. 1. 310–314. 1 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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