Ömer Türk

419 total citations
24 papers, 268 citations indexed

About

Ömer Türk is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ömer Türk has authored 24 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Ömer Türk's work include EEG and Brain-Computer Interfaces (13 papers), AI in cancer detection (5 papers) and Functional Brain Connectivity Studies (5 papers). Ömer Türk is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), AI in cancer detection (5 papers) and Functional Brain Connectivity Studies (5 papers). Ömer Türk collaborates with scholars based in Türkiye, United States and Bulgaria. Ömer Türk's co-authors include Mehmet Siraç Özerdem, Emrullah Acar, Nevzat Tarhan, Türker Tekin Erguzel, Çağlar Uyulan, Barış Metin, Ömer Faruk Ertuğrul, Musa Yılmaz, Tahir Çetin Akıncı and Veysi Akpolat and has published in prestigious journals such as Computers and Electronics in Agriculture, Soft Computing and European Archives of Oto-Rhino-Laryngology.

In The Last Decade

Ömer Türk

20 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ömer Türk Türkiye 8 171 84 44 42 35 24 268
Chunfeng Yang China 8 164 1.0× 67 0.8× 40 0.9× 28 0.7× 39 1.1× 33 272
Baocan Zhang China 7 213 1.2× 86 1.0× 55 1.3× 36 0.9× 50 1.4× 13 281
Hengjin Ke China 9 266 1.6× 76 0.9× 34 0.8× 33 0.8× 62 1.8× 14 387
Junbiao Liu China 12 295 1.7× 128 1.5× 62 1.4× 25 0.6× 47 1.3× 24 410
Bijan Vosoughi Vahdat Iran 10 212 1.2× 119 1.4× 45 1.0× 34 0.8× 35 1.0× 45 409
Özlem Karabiber Cura Türkiye 9 201 1.2× 84 1.0× 30 0.7× 22 0.5× 61 1.7× 36 302
Duanpo Wu China 12 278 1.6× 100 1.2× 48 1.1× 26 0.6× 39 1.1× 39 379
Dinghan Hu China 10 252 1.5× 110 1.3× 43 1.0× 31 0.7× 40 1.1× 25 308
Ziad Sankari United States 5 345 2.0× 99 1.2× 55 1.3× 27 0.6× 89 2.5× 7 485

Countries citing papers authored by Ömer Türk

Since Specialization
Citations

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

Fields of papers citing papers by Ömer Türk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ömer Türk

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

All Works

20 of 20 papers shown
1.
Türk, Ömer, et al.. (2025). Automated Mucormycosis Diagnosis from Paranasal CT Using ResNet50 and ConvNeXt Small. Bioengineering. 12(8). 854–854.
2.
Uyulan, Çağlar, et al.. (2024). Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy. Clinical EEG and Neuroscience. 56(2). 119–130. 5 indexed citations
3.
Türk, Ömer, et al.. (2024). A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis. Technology in Cancer Research & Treatment. 23. 2234043185–2234043185.
4.
Acar, Emrullah, et al.. (2023). Identification of cotton and corn plant areas by employing deep transformer encoder approach and different time series satellite images: A case study in Diyarbakir, Turkey. Computers and Electronics in Agriculture. 209. 107838–107838. 8 indexed citations
5.
Türk, Ömer, et al.. (2023). Palmprint recognition system based on deep region of interest features with the aid of hybrid approach. Signal Image and Video Processing. 17(7). 3837–3845. 5 indexed citations
6.
Türk, Ömer, et al.. (2023). Can deep learning replace histopathological examinations in the differential diagnosis of cervical lymphadenopathy?. European Archives of Oto-Rhino-Laryngology. 281(1). 359–367. 4 indexed citations
7.
Türk, Ömer, et al.. (2023). Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture. Soft Computing. 28(9-10). 6607–6617. 2 indexed citations
8.
Metin, Barış, et al.. (2022). The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data. Clinical EEG and Neuroscience. 55(2). 167–175. 13 indexed citations
9.
Uyulan, Çağlar, et al.. (2022). A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data. Clinical EEG and Neuroscience. 54(2). 151–159. 13 indexed citations
10.
Türk, Ömer, et al.. (2022). Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images. Zeitschrift für Medizinische Physik. 34(2). 278–290. 15 indexed citations
11.
12.
Türk, Ömer. (2021). Classification ofelectroencephalogramrecords related to cursor movements with a hybrid method based on deep learning. International Journal of Imaging Systems and Technology. 31(4). 2322–2333. 2 indexed citations
13.
Türk, Ömer, et al.. (2020). Classification of Epilepsy Types from Electroencephalogram Time Series Using Continuous Wavelet Transform Scalogram–Based Convolutional Neural Network. Journal of Testing and Evaluation. 49(4). 2491–2506. 1 indexed citations
14.
15.
Türk, Ömer & Mehmet Siraç Özerdem. (2019). Epilepsy Detection by Using Scalogram Based Convolutional Neural Network from EEG Signals. Brain Sciences. 9(5). 115–115. 153 indexed citations
16.
17.
Türk, Ömer, et al.. (2017). Classification of mental task EEG records using Hjorth parameters. 1–4. 13 indexed citations
18.
Türk, Ömer & Mehmet Siraç Özerdem. (2017). Mental activity detection from EEG records using local binary pattern method. 1–4. 2 indexed citations
19.
Türk, Ömer, et al.. (2015). Determination of changes in EEG bands frequencies with PSD in eyes open/closed conditions. DergiPark (Istanbul University). 1 indexed citations
20.
Türk, Ömer, et al.. (2015). Gözler açık/kapalı durumunda EEG bantlarındaki frekans değişiminin Güç Spektral Yoğunluğu ile belirlenmesi. DÜMF Mühendislik Dergisi. 6(2). 131–138. 2 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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