Selda Güney
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
- Biomedical Engineering top 10%
- Advanced Chemical Sensor Technologies
Papers in
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- Advanced Chemical Sensor Technologies 12
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- Digital Imaging for Blood Diseases 3
- Co-authors
- Çağatay Berke Erdaş (2 shared papers)Luis Fernández (1 shared paper)Santiago Marco (1 shared paper)A. Gutiérrez-Gálvez (1 shared paper)Berna Dengiz (7 shared papers)Ahmet Muhteşem Ağıldere (2 shared papers)Václav Uher (2 shared papers)Radim Bürget (1 shared paper)
In The Last Decade
Selda Güney
32 papers receiving 406 citations
Peers
Comparison fields: 5 of 87
- Bioengineering 53
- Biomedical Engineering 255
- Insect Science 61
- Analytical Chemistry 42
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Selda Güney
This map shows the geographic impact of Selda Güney'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 Selda Güney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selda Güney more than expected).
Fields of papers citing papers by Selda Güney
This network shows the impact of papers produced by Selda Güney. 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 Selda Güney. The network helps show where Selda Güney may publish in the future.
Co-authors
The 11 scholars most cited alongside Selda Güney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 68 | |
| 2 | 2016 | 58 | |
| 3 | 2015 | 51 | |
| 4 | 2021 | 34 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 18 | |
| 7 | 2013 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2013 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2011 | 5 |
About Selda Güney
Selda Güney is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Electrical and Electronic Engineering, having authored 38 papers that have together received 414 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (12 papers), COVID-19 diagnosis using AI (7 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Analytical Chemistry and Chromatography (3 papers), Digital Imaging for Blood Diseases (3 papers), Analytical Chemistry and Sensors (3 papers) and Meat and Animal Product Quality (3 papers). The work is most often cited by research in Bioengineering (53 citations), Biomedical Engineering (255 citations), Insect Science (61 citations), Analytical Chemistry (42 citations) and Computer Vision and Pattern Recognition (81 citations). Selda Güney has collaborated with scholars based in Türkiye, Czechia and Spain. Frequent co-authors include Çağatay Berke Erdaş, Luis Fernández, Santiago Marco, A. Gutiérrez-Gálvez, Berna Dengiz, Ahmet Muhteşem Ağıldere, Václav Uher, Radim Bürget, Ziya Telatar and Seniha Esen Yüksel. Their work appears in journals such as Neural Computing and Applications, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Sensors and Actuators B Chemical, Biomedical Signal Processing and Control and Computers and Electronics in Agriculture.
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.