Cem Direkoğlu

33 papers and 663 indexed citations i.

About

Cem Direkoğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Cem Direkoğlu has authored 33 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Cem Direkoğlu’s work include Medical Image Segmentation Techniques (9 papers), Video Surveillance and Tracking Methods (9 papers) and Image Retrieval and Classification Techniques (6 papers). Cem Direkoğlu is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Video Surveillance and Tracking Methods (9 papers) and Image Retrieval and Classification Techniques (6 papers). Cem Direkoğlu collaborates with scholars based in Türkiye, Cyprus and Ireland. Cem Direkoğlu's co-authors include Melike Şah, Ali Işın, Mark Nixon, Noel E. O’Connor, Masashi Unoki, Rozenn Dahyot, Murat Fahrioğlu, David J. Hurley, Suzanne Little and Marcos Nieto and has published in prestigious journals such as IEEE Access, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Cem Direkoğlu i

Fields of papers citing papers by Cem Direkoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cem Direkoğlu

Since Specialization
Citations

This map shows the geographic impact of Cem Direkoğlu'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 Cem Direkoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cem Direkoğlu 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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2025