Vedat Topuz

About

Vedat Topuz is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vedat Topuz has authored 16 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vedat Topuz’s work include Fuzzy Logic and Control Systems (4 papers), Color Science and Applications (3 papers) and Advanced Control Systems Optimization (3 papers). Vedat Topuz is often cited by papers focused on Fuzzy Logic and Control Systems (4 papers), Color Science and Applications (3 papers) and Advanced Control Systems Optimization (3 papers). Vedat Topuz collaborates with scholars based in Türkiye. Vedat Topuz's co-authors include Ayça Ak, İpek Midi, Bülent Oral, Muhammet Ünal, Yavuz Erdem, Mehmet Akalın, Hasan Çelik, Bahar Sennaroğlu and Ali Buldu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Energy and Buildings.

In The Last Decade

Co-authorship network of co-authors of Vedat Topuz i

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Fields of papers citing papers by Vedat Topuz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vedat Topuz

Since Specialization

Citations

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