Görkem Serbes

1.9k total citations · 1 hit paper
65 papers, 1.2k citations indexed

About

Görkem Serbes is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Görkem Serbes has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 22 papers in Computer Vision and Pattern Recognition and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Görkem Serbes's work include Image and Signal Denoising Methods (21 papers), Phonocardiography and Auscultation Techniques (18 papers) and Music and Audio Processing (13 papers). Görkem Serbes is often cited by papers focused on Image and Signal Denoising Methods (21 papers), Phonocardiography and Auscultation Techniques (18 papers) and Music and Audio Processing (13 papers). Görkem Serbes collaborates with scholars based in Türkiye, Australia and Greece. Görkem Serbes's co-authors include Nizamettin Aydın, C. Okan Sakar, Betül Erdoğdu Şakar, Yasemin P. Kahya, Hamza Osman İlhan, Hünkar Can Tunç, Melih Tütüncü, Ayşegül Gündüz, Hülya Apaydın and Tarkan Aydın and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Görkem Serbes

57 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform

2018 352 citations C. Okan Sakar, Görkem Serbes et al. Applied Soft Computing profile →

Peers

Görkem Serbes

PRM

PHYSI

CVPR

Abdelilah Jilbab Morocco

Ahmed Hammouch Morocco

Betül Erdoğdu Şakar Türkiye

Fernando Andreotti United Kingdom

Vladimir Despotović Serbia

Kuang Chua Chua Singapore

Mohammad Pooyan Iran

Delaram Jarchi United Kingdom

Fatih Demir Türkiye

Rui Pedro Paiva Portugal

Abdelilah Jilbab Morocco

Görkem Serbes

249 ×0.6

139 ×0.4

PRM

371 ×1.1

PHYSI

366 ×1.6

60 ×0.4

CVPR

Citations per year, relative to Görkem Serbes Görkem Serbes (= 1×) peers Abdelilah Jilbab

Countries citing papers authored by Görkem Serbes

Since Specialization

Citations

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

Fields of papers citing papers by Görkem Serbes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Görkem Serbes

This figure shows the co-authorship network connecting the top 25 collaborators of Görkem Serbes. A scholar is included among the top collaborators of Görkem Serbes 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 Görkem Serbes. Görkem Serbes 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

İlhan, Hamza Osman, et al.. (2025). End-to-end CNN-based detection of permanent first molars and prediction of root development stages from panoramic radiographs. Scientific Reports. 15(1). 38814–38814.

Serbes, Görkem, et al.. (2025). Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios. Advanced Intelligent Systems. 7(12). 1 indexed citations

Aydın, Nizamettin, et al.. (2025). Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies. Advanced Intelligent Systems. 7(12). 1 indexed citations

İlhan, Hamza Osman, et al.. (2025). Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification. Advanced Intelligent Systems. 8(2).

Aydın, Nizamettin, et al.. (2025). A comprehensive approach for high intensity blood flow signal classification using multi-scale spectrogram fusion and tunable Q-factor wavelet analysis. Biomedical Signal Processing and Control. 109. 107991–107991. 2 indexed citations

Serbes, Görkem, et al.. (2025). Unveiling knee morphology with SHAP: shaping personalized medicine through explainable AI. The Knee. 56. 415–430.

Serbes, Görkem, et al.. (2024). Detection of Wheeze Sounds in Respiratory Disorders: A Deep Learning Approach. DergiPark (Istanbul University). 8(1). 20–32. 1 indexed citations

Serbes, Görkem, et al.. (2024). Deep learning-driven feature engineering for lung disease classification through electrical impedance tomography imaging. Biomedical Signal Processing and Control. 100. 107124–107124. 4 indexed citations

İlhan, Hamza Osman, et al.. (2023). The Evaluation of Nature-Inspired Optimization Techniques for Contrast Enhancement in Images: A Novel Software Tool. Traitement du signal. 40(4). 1305–1318. 1 indexed citations

10.

Tunç, Hünkar Can, C. Okan Sakar, Hülya Apaydın, et al.. (2020). Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting. Medical & Biological Engineering & Computing. 58(11). 2757–2773. 36 indexed citations

11.

İlhan, Hamza Osman, et al.. (2020). A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods. Medical & Biological Engineering & Computing. 58(5). 1047–1068. 55 indexed citations

12.

İlhan, Hamza Osman, Görkem Serbes, & Nizamettin Aydın. (2020). Automated sperm morphology analysis approach using a directional masking technique. Computers in Biology and Medicine. 122. 103845–103845. 28 indexed citations

13.

Rocha, Bruno, Dimitris Filos, Luís Mendes, et al.. (2019). An open access database for the evaluation of respiratory sound classification algorithms. Physiological Measurement. 40(3). 35001–35001. 172 indexed citations

14.

Ulukaya, Sezer, Görkem Serbes, & Yasemin P. Kahya. (2018). Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique. Computers in Biology and Medicine. 104. 175–182. 18 indexed citations

15.

Ulukaya, Sezer, et al.. (2016). A lung sound classification system based on the rational dilation wavelet transform. PubMed. 2016. 3745–3748. 16 indexed citations

16.

Serbes, Görkem, Betül Erdoğdu Şakar, Halil Özcan Gülçür, & Nizamettin Aydın. (2015). An emboli detection system based on Dual Tree Complex Wavelet Transform and ensemble learning. Applied Soft Computing. 37. 87–94. 23 indexed citations

17.

Şakar, Betül Erdoğdu, C. Okan Sakar, Görkem Serbes, & Olcay Kurşun. (2015). Determination of the optimal threshold value that can be discriminated by dysphonia measurements for unified Parkinson's Disease rating scale. 1–4. 7 indexed citations

18.

Serbes, Görkem, Halil Özcan Gülçür, & Nizamettin Aydın. (2014). Directional dual-tree complex wavelet packet transforms for processing quadrature signals. Medical & Biological Engineering & Computing. 54(2-3). 295–313. 12 indexed citations

19.

Serbes, Görkem & Nizamettin Aydın. (2011). Denoising embolic doppler signals using modified complex discrete wavelet transform. 566–569. 1 indexed citations

20.

Serbes, Görkem & Nizamettin Aydın. (2010). Denoising embolic Doppler ultrasound signals using Dual Tree Complex Discrete Wavelet Transform. PubMed. 2010. 1840–1843. 8 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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