İnan Güler

6.1k citations
157 papers · 4.3k indexed · h-index 32

Impact in

Papers in

İnan Güler

154 papers receiving 4.0k citations

Peers

İnan Güler
Comparison fields: 5 of 169
  • Signal Processing 1.2k
  • Cognitive Neuroscience 1.8k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Neurology 302
  • Computer Vision and Pattern Recognition 720
Replace Şengül Doğan with:
Şengül Doğan Türkiye
Türker Tuncer Türkiye
Francesco Carlo Morabito Italy
Oliver Faust Singapore
Varun Bajaj India
S. Vinitha Sree Singapore
Elif Derya Übeylï Türkiye
Kuanquan Wang China
Yuki Hagiwara Singapore
Sridhar Krishnan Canada
İnan Güler relative to Şengül Doğan Türkiye Şengül Doğan's profile →
Citations per field
00.5×10×20×30×35.2×
Şengül Doğan · 1×
Citations per year

Countries citing papers authored by İnan Güler

Since Specialization
Citations

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

Fields of papers citing papers by İnan Güler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside İnan Güler, 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 İnan Güler Line = papers co-authored together İnan Güler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform
20214
2 20159
3 201517
4 201212
5 20121
6
Kablosuz Algılayıcı Ağlarında Güvenlik: Sorunlar ve Çözümler
20102
7 20102
8 20102
9 20082
10
BOĞAZ ENFEKSİYONLARININ TEŞHİS VE TEDAVİSİNDE UZMAN SİSTEM KULLANIMI
20071
11 2007302
12 200440
13 20049
14 200431
15 200330
16 19982
17 19982
18 19972
19 19967
20 199528

About İnan Güler

İnan Güler is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing, Computer Vision and Pattern Recognition, Health Information Management and Cognitive Neuroscience, having authored 157 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (29 papers), EEG and Brain-Computer Interfaces (22 papers), Neural Networks and Applications (18 papers), ECG Monitoring and Analysis (17 papers), Cerebrovascular and Carotid Artery Diseases (17 papers), Blind Source Separation Techniques (16 papers), Image and Signal Denoising Methods (15 papers) and Non-Invasive Vital Sign Monitoring (11 papers). The work is most often cited by research in Signal Processing (1.2k citations), Cognitive Neuroscience (1.8k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Neurology (302 citations) and Computer Vision and Pattern Recognition (720 citations). İnan Güler has collaborated with scholars based in Türkiye, United States and Iran. Frequent co-authors include Elif Derya Übeylï, Ayşe Demi̇rhan, M. Kemal Kıymık, Mehmet Akın, Fırat Hardalaç, M Törü, Majid Meghdadı, Hüseyin Polat, Ali Hakan IŞIK and Ömer Faruk Bay. Their work appears in journals such as Journal of Medical Systems, Computers in Biology and Medicine, Expert Systems with Applications, Engineering Applications of Artificial Intelligence and Instrumentation Science & Technology.

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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