Kadim Taşdemi̇r

17 papers and 427 indexed citations i.

About

Kadim Taşdemi̇r is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Kadim Taşdemi̇r has authored 17 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Media Technology. Recurrent topics in Kadim Taşdemi̇r’s work include Advanced Clustering Algorithms Research (7 papers), Remote-Sensing Image Classification (7 papers) and Face and Expression Recognition (5 papers). Kadim Taşdemi̇r is often cited by papers focused on Advanced Clustering Algorithms Research (7 papers), Remote-Sensing Image Classification (7 papers) and Face and Expression Recognition (5 papers). Kadim Taşdemi̇r collaborates with scholars based in Türkiye, Italy and United States. Kadim Taşdemi̇r's co-authors include Erzsébet Merényi, Selçuk Reis, Selim Aksoy, İsmet Zeki Yalnız, Berna Örs, Habil Kalkan, W. H. Farrand, Gülşen Taşkın, Alp Ertürk and Esra Erten and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Kadim Taşdemi̇r i

Fields of papers citing papers by Kadim Taşdemi̇r

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kadim Taşdemi̇r

Since Specialization
Citations

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