Abdülkadir Karacı

About

Abdülkadir Karacı is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Abdülkadir Karacı has authored 33 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Abdülkadir Karacı’s work include Gender and Technology in Education (5 papers), COVID-19 diagnosis using AI (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Abdülkadir Karacı is often cited by papers focused on Gender and Technology in Education (5 papers), COVID-19 diagnosis using AI (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Abdülkadir Karacı collaborates with scholars based in Türkiye. Abdülkadir Karacı's co-authors include Atila Çaǧlar, İlhami Demi̇r, Kemal Akyol, Osman Şimşek, Osman Özkaraca, Ahmet Duran Demir, Ethem Acar, Yasemin Çelik Altunoğlu and Mehmet Cengiz Baloğlu and has published in prestigious journals such as International Journal of Hydrogen Energy, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Abdülkadir Karacı i

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Fields of papers citing papers by Abdülkadir Karacı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abdülkadir Karacı

Since Specialization

Citations

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