Nihal Fatma Güler

16 papers and 321 indexed citations i.

About

Nihal Fatma Güler is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Nihal Fatma Güler has authored 16 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Nihal Fatma Güler’s work include Neural Networks and Applications (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Wireless Body Area Networks (3 papers). Nihal Fatma Güler is often cited by papers focused on Neural Networks and Applications (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Wireless Body Area Networks (3 papers). Nihal Fatma Güler collaborates with scholars based in Türkiye and United States. Nihal Fatma Güler's co-authors include Elif Derya Übeylï, Raşit Ahıska, İnan Güler, Fırat Hardalaç, M. Kemal Kıymık, Peter E. Clark and F. S. Manning and has published in prestigious journals such as Applied Thermal Engineering, Computers in Biology and Medicine and Journal of Medical Systems.

In The Last Decade

Co-authorship network of co-authors of Nihal Fatma Güler i

Fields of papers citing papers by Nihal Fatma Güler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nihal Fatma Güler

Since Specialization
Citations

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