Zafer Cömert

5.0k citations

78 papers · 3.6k · 1 hit paper · h-index 31

Impact in

Health Informatics top 1%
Neurology top 1%
- Brain Tumor Detection and Classification

Papers in

Biomedical Engineering 21
- Non-Invasive Vital Sign Monitoring 17
Artificial Intelligence 20
- AI in cancer detection 10

Co-authors: Mesut Toğaçar (22 shared papers)Burhan Ergen (17 shared papers)Adnan Fatıh Kocamaz (17 shared papers)Kemal Polat (6 shared papers)Majid Nour (2 shared papers)Abdulkadir Şengür (11 shared papers)Ümit Budak (11 shared papers)Fatih Özyurt (1 shared paper)
Journals: Neural Computing and Applications (5 papers)Applied Soft Computing (4 papers)PeerJ Computer Science (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Electronics (2 papers)
Partner nations: Türkiye India Azerbaijan

In The Last Decade

Zafer Cömert

73 papers receiving 3.5k citations

Zafer Cömert's Hit Papers

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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 · 420 citations

Peers

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-authors

The 25 scholars most cited alongside Zafer Cömert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zafer Cömert Line = papers co-authored together Zafer Cömert links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches Computers in Biology and Medicine ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert Hit paper breakdown →	2020	420
2	A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization Applied Soft Computing ·Majid Nour, Zafer Cömert, Kemal Polat	2020	237
3	BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model Medical Hypotheses ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert	2019	227
4	A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models IRBM ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert, Fatih Özyurt	2019	206
5	BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer Physica A Statistical Mechanics and its Applications ·Mesut Toğaçar, Kutsal Baran Özkurt, Burhan Ergen, Zafer Cömert	2019	201
6	Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks Journal of Applied Biomedicine ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert	2019	152
7	Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach Computers and Electronics in Agriculture ·Yahya Altuntaş, Zafer Cömert, Adnan Fatıh Kocamaz	2019	131
8	Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images Applied Soft Computing ·Ümit Budak, Zafer Cömert, Zryan Najat Rashid, Abdulkadir Şengür, Musa Çıbuk	2019	127
9	Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method Expert Systems with Applications ·Mesut Toğaçar, Zafer Cömert, Burhan Ergen	2020	106
10	Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks Chaos Solitons & Fractals ·Mesut Toğaçar, Zafer Cömert, Burhan Ergen	2021	105
11	Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models Measurement ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert	2019	103
12	Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods Applied Soft Computing ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert	2020	90
13	Computer-Aided Diagnosis System of Fetal Hypoxia Incorporating Recurrence Plot With Convolutional Neural Network Frontiers in Physiology ·Zhidong Zhao, Yang Zhang, Zafer Cömert, Yanjun Deng	2019	83
14	Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking Electronics ·Özgür Tonkal, Hüseyin Polat, Erdal Başaran, Zafer Cömert, Ramazan Kocaoğlu	2021	71
15	A Study of Artificial Neural Network Training Algorithms for Classification of Cardiotocography Signals DergiPark (Istanbul University) ·Zafer Cömert, Adnan Fatıh Kocamaz	2017	71
16	Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders Medical Hypotheses ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert	2019	70
17	Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models Measurement ·Mesut Toğaçar, Burhan Ergen, Zafer Cömert	2020	70
18	Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment Computers in Biology and Medicine ·Zafer Cömert, Adnan Fatıh Kocamaz, Subha Velappan	2018	69
19	Comparison of Machine Learning Techniques for Fetal Heart Rate Classification Acta Physica Polonica A ·Zafer Cömert, Adnan Fatıh Kocamaz	2017	69
20	Convolutional neural network approach for automatic tympanic membrane detection and classification Biomedical Signal Processing and Control ·Erdal Başaran, Zafer Cömert, Yüksel Çelik	2019	61

About Zafer Cömert

Zafer Cömert is a scholar working on Biomedical Engineering, Artificial Intelligence, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 78 papers that have together received 3.6k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (17 papers), Neonatal and fetal brain pathology (17 papers), Phonocardiography and Auscultation Techniques (12 papers), AI in cancer detection (10 papers), Ear Surgery and Otitis Media (10 papers), Digital Imaging for Blood Diseases (7 papers), Brain Tumor Detection and Classification (7 papers) and Nasal Surgery and Airway Studies (7 papers). The work is most often cited by research in Health Informatics (116 citations), Neurology (548 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (855 citations). Zafer Cömert has collaborated with scholars based in Türkiye, India and Azerbaijan. Frequent 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. Their work appears in journals such as Neural Computing and Applications, Applied Soft Computing, PeerJ Computer Science, Physica A Statistical Mechanics and its Applications and Electronics.

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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