Şaban Gülcü

13 papers and 332 indexed citations i.

About

Şaban Gülcü is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Şaban Gülcü has authored 13 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Şaban Gülcü’s work include Metaheuristic Optimization Algorithms Research (8 papers), Neural Networks and Applications (3 papers) and Machine Learning and ELM (2 papers). Şaban Gülcü is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Neural Networks and Applications (3 papers) and Machine Learning and ELM (2 papers). Şaban Gülcü collaborates with scholars based in Türkiye and Iran. Şaban Gülcü's co-authors include Halife Kodaz, Ömer Kaan Baykan, Mostafa Mahi, Emrah Madenci, Serpil Edebalı and Humar Kahramanlı and has published in prestigious journals such as Applied Soft Computing, Engineering Applications of Artificial Intelligence and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Şaban Gülcü i

Fields of papers citing papers by Şaban Gülcü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Şaban Gülcü

Since Specialization
Citations

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