Ülkühan Güler

995 citations
62 papers · 695 · h-index 16

Impact in

Papers in

Ülkühan Güler

55 papers receiving 664 citations

Peers

Ülkühan Güler
Comparison fields: 5 of 79
  • Bioengineering 69
  • Biomedical Engineering 314
  • Computer Vision and Pattern Recognition 135
  • Cellular and Molecular Neuroscience 98
  • Electrical and Electronic Engineering 288
Replace Mohammad Mahdi Ahmadi with:
Mohammad Mahdi Ahmadi Iran
Arindam Sanyal United States
Indrajit Chakrabarti India
A. Paasio Finland
B. Venkataramani India
Christopher M. Twigg United States
Shoushui Wei China
Ashish Ranjan India
Youchang Kim South Korea
Reza Lotfi Iran
Ülkühan Güler relative to Mohammad Mahdi Ahmadi Iran Mohammad Mahdi Ahmadi's profile →
Citations per field
00.5×1.5×2.2×
Mohammad Mahdi Ahmadi · 1×
Citations per year

Countries citing papers authored by Ülkühan Güler

Since Specialization
Citations

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

Fields of papers citing papers by Ülkühan Güler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201145
3 202044
4 201731
5 201129
6 202127
7 202026
8 201926
9 201026
10 202024
11 202023
12 202223
13 201921
14 201320
15 202316
16 202116
17 202114
18 201714
19 201913
20 201112

About Ülkühan Güler

Ülkühan Güler is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 695 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (22 papers), Analytical Chemistry and Sensors (14 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Neuroscience and Neural Engineering (9 papers), Wireless Power Transfer Systems (8 papers), Energy Harvesting in Wireless Networks (8 papers), Chaos-based Image/Signal Encryption (7 papers) and CCD and CMOS Imaging Sensors (7 papers). The work is most often cited by research in Bioengineering (69 citations), Biomedical Engineering (314 citations), Computer Vision and Pattern Recognition (135 citations), Cellular and Molecular Neuroscience (98 citations) and Electrical and Electronic Engineering (288 citations). Ülkühan Güler has collaborated with scholars based in United States, Türkiye and Italy. Frequent co-authors include Maysam Ghovanloo, Salih Ergün, Devdip Sen, Günhan Dündar, Yaoyao Jia, Kunihiro Asada, Yan Gong, Arthur Weber, Tevhide Ozkaya‐Ahmadov and Bige Deniz Unluturk. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, Electronics, IEEE Circuits and Systems Magazine, IEEE Access and IEEE Transactions on Circuits & Systems II Express Briefs.

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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