Selda Güney

22 papers and 267 indexed citations i.

About

Selda Güney is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Selda Güney has authored 22 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Selda Güney’s work include Advanced Chemical Sensor Technologies (9 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and COVID-19 diagnosis using AI (3 papers). Selda Güney is often cited by papers focused on Advanced Chemical Sensor Technologies (9 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and COVID-19 diagnosis using AI (3 papers). Selda Güney collaborates with scholars based in Türkiye and Spain. Selda Güney's co-authors include A. Gutiérrez-Gálvez, Luis Fernández, Santiago Marco, Çağatay Berke Erdaş, Seniha Esen Yüksel, Ziya Telatar and Berna Dengiz and has published in prestigious journals such as Sensors and Actuators B Chemical, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Selda Güney i

Fields of papers citing papers by Selda Güney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Selda Güney

Since Specialization
Citations

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).

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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