Zafer Cömert

5.0k citations
78 papers · 3.5k indexed · 1 hit paper · h-index 31

Zafer Cömert

71 papers receiving 3.4k citations

Hit Papers

COVID-19 detection using deep learning models to exploit ...4142020202620222024100200300400

Peers

Zafer Cömert
Comparison fields: 5 of 161
  • Health Informatics 138
  • Neurology 540
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 858
Replace Mesut Toğaçar with:
Mesut Toğaçar Türkiye
Chen Li China
V. Rajinikanth India
Burhan Ergen Türkiye
Yan Xu China
Aristófanes Corrêa Silva Brazil
Anselmo Cardoso de Paiva Brazil
Sudipta Roy India
Yutong Xie China
Sarah Barman United Kingdom
Zafer Cömert relative to Mesut Toğaçar Türkiye Mesut Toğaçar's profile →
Citations per field
00.5×3.7×
Mesut Toğaçar · 1×
Citations per year

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

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

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20252
5 20238
6 202127
7 202114
8 202122
9 20212
10 2020232
11 202032
12 2019125
13 201949
14 201950
15 2019218
16 2019150
17 201934
18 201869
19 201716
20 20162

About Zafer Cömert

Zafer Cömert is a scholar working on Otorhinolaryngology, Signal Processing, Pediatrics, Perinatology and Child Health, Neurology and Health Informatics, having authored 78 papers that have together received 3.5k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (19 papers), Neonatal and fetal brain pathology (17 papers), Phonocardiography and Auscultation Techniques (14 papers), AI in cancer detection (10 papers), Ear Surgery and Otitis Media (10 papers), Speech and Audio Processing (8 papers), Digital Imaging for Blood Diseases (7 papers) and ECG Monitoring and Analysis (7 papers). The work is most often cited by research in Health Informatics (138 citations), Neurology (540 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (858 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, Measurement, 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026