Zafer Cömert

5.0k total citations · 1 hit paper
78 papers, 3.5k citations indexed

About

Zafer Cömert is a scholar working on Biomedical Engineering, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Zafer Cömert has authored 78 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 20 papers in Artificial Intelligence and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Zafer Cömert's work include Non-Invasive Vital Sign Monitoring (19 papers), Neonatal and fetal brain pathology (17 papers) and Phonocardiography and Auscultation Techniques (14 papers). Zafer Cömert is often cited by papers focused on Non-Invasive Vital Sign Monitoring (19 papers), Neonatal and fetal brain pathology (17 papers) and Phonocardiography and Auscultation Techniques (14 papers). Zafer Cömert collaborates with scholars based in Türkiye, India and Azerbaijan. Zafer Cömert's co-authors include Mesut Toğaçar, Burhan Ergen, Adnan Fatıh Kocamaz, Kemal Polat, Majid Nour, Abdulkadir Şengür, Ümit Budak, Fatih Özyurt, Erdal Başaran and Musa Çıbuk and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Agronomy Journal.

In The Last Decade

Zafer Cömert

71 papers receiving 3.4k 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.

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

2020 414 citations Mesut Toğaçar, Burhan Ergen et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zafer Cömert Türkiye	31	1.5k	1.4k	858	540	459	78	3.5k
V. Rajinikanth India	34	1.5k 1.0×	1.6k 1.2×	1.4k 1.7×	985 1.8×	352 0.8×	190	4.4k
Marcin Grzegorzek Germany	31	1.3k 0.9×	727 0.5×	1.7k 1.9×	133 0.2×	110 0.2×	233	3.8k
Mesut Toğaçar Türkiye	22	1.2k 0.8×	1.2k 0.8×	761 0.9×	489 0.9×	188 0.4×	57	2.3k
Chen Li China	37	2.1k 1.4×	1.8k 1.3×	1.3k 1.5×	272 0.5×	283 0.6×	239	4.8k
Yan Xu China	33	1.4k 0.9×	915 0.7×	1.6k 1.9×	176 0.3×	139 0.3×	242	3.9k
Sudipta Roy India	31	572 0.4×	703 0.5×	632 0.7×	377 0.7×	204 0.4×	147	2.7k
Tawsifur Rahman Qatar	23	1.7k 1.1×	2.7k 1.9×	583 0.7×	197 0.4×	501 1.1×	43	3.8k
Burhan Ergen Türkiye	25	1.2k 0.8×	1.1k 0.8×	878 1.0×	477 0.9×	222 0.5×	90	2.6k
Aurélio Campilho Portugal	28	1.0k 0.7×	2.3k 1.7×	1.7k 1.9×	152 0.3×	360 0.8×	140	3.7k
Petia Radeva Spain	37	1.1k 0.7×	992 0.7×	1.9k 2.2×	67 0.1×	623 1.4×	270	4.7k

Countries citing papers authored by Zafer Cömert

Since Specialization

Citations

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

Fields of papers citing papers by Zafer Cömert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zafer Cömert

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

Cömert, Zafer, et al.. (2025). Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification. International Journal of Imaging Systems and Technology. 35(2). 2 indexed citations

Cömert, Zafer, et al.. (2025). MobileNet- and attention-based MLP-Mixer architecture for geographical-region recognition of a marine fish (Perciformes: Carangidae) using otolith images. Expert Systems with Applications. 291. 128585–128585.

Ekіncі, Murat, et al.. (2025). Enhanced Classification of Ear Disease Images Using Metaheuristic Feature Selection. DergiPark (Istanbul University). 8(1). 58–75. 1 indexed citations

Ekіncі, Murat, et al.. (2025). Enhancing intra-aural disease classification with attention-based deep learning models. Neural Computing and Applications. 37(9). 6601–6616. 2 indexed citations

Cömert, Zafer, et al.. (2023). DeepMaizeNet: A novel hybrid approach based on CBAM for implementing the doubled haploid technique. Agronomy Journal. 116(3). 861–870. 8 indexed citations

Budak, Ümit, Musa Çıbuk, Zafer Cömert, & Abdulkadir Şengür. (2021). Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism. Journal of Digital Imaging. 34(2). 263–272. 27 indexed citations

Alamoodi, A. H., et al.. (2021). A systematic review of automated pre-processing, feature extraction and classification of cardiotocography. PeerJ Computer Science. 7. e452–e452. 14 indexed citations

Alhudhaif, Adi, Zafer Cömert, & Kemal Polat. (2021). Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm. PeerJ Computer Science. 7. e405–e405. 22 indexed citations

Başaran, Erdal, Zafer Cömert, & Yüksel Çelik. (2021). Timpanik Membran Görüntü Özellikleri Kullanılarak Sınıflandırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 33(2). 441–453. 2 indexed citations

10.

Nour, Majid, Zafer Cömert, & Kemal Polat. (2020). A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization. Applied Soft Computing. 97. 106580–106580. 232 indexed citations

11.

Toğaçar, Mesut, Burhan Ergen, & Zafer Cömert. (2020). Detection of weather images by using spiking neural networks of deep learning models. Neural Computing and Applications. 33(11). 6147–6159. 32 indexed citations

12.

Budak, Ümit, Zafer Cömert, Zryan Najat Rashid, Abdulkadir Şengür, & Musa Çıbuk. (2019). Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. Applied Soft Computing. 85. 105765–105765. 125 indexed citations

13.

Cömert, Zafer, Abdulkadir Şengür, Ümit Budak, & Adnan Fatıh Kocamaz. (2019). Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Information Science and Systems. 7(1). 17–17. 49 indexed citations

14.

Budak, Ümit, Zafer Cömert, Musa Çıbuk, & Abdulkadir Şengür. (2019). DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images. Medical Hypotheses. 134. 109426–109426. 50 indexed citations

15.

Toğaçar, Mesut, Burhan Ergen, & Zafer Cömert. (2019). BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model. Medical Hypotheses. 134. 109531–109531. 218 indexed citations

16.

Toğaçar, Mesut, Burhan Ergen, & Zafer Cömert. (2019). Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks. Journal of Applied Biomedicine. 40(1). 23–39. 150 indexed citations

17.

Başaran, Erdal, Zafer Cömert, Abdulkadir Şengür, et al.. (2019). Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network. 1–4. 34 indexed citations

18.

Cömert, Zafer, et al.. (2018). Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment. Computers in Biology and Medicine. 99. 85–97. 69 indexed citations

19.

Cömert, Zafer & Adnan Fatıh Kocamaz. (2017). A novel software for comprehensive analysis of cardiotocography signals “CTG-OAS”. 1–6. 16 indexed citations

20.

Türker, Mehmet, et al.. (2016). Experimental Research on Properties of Naval Brass Castings. Practical Metallography. 53(1). 24–35. 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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