Fatih Gedikli

5 papers and 178 indexed citations i.

About

Fatih Gedikli is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fatih Gedikli has authored 5 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fatih Gedikli’s work include Recommender Systems and Techniques (5 papers), Topic Modeling (2 papers) and Explainable Artificial Intelligence (XAI) (1 paper). Fatih Gedikli is often cited by papers focused on Recommender Systems and Techniques (5 papers), Topic Modeling (2 papers) and Explainable Artificial Intelligence (XAI) (1 paper). Fatih Gedikli collaborates with scholars based in Germany. Fatih Gedikli's co-authors include Dietmar Jannach and Mouzhi Ge and has published in prestigious journals such as International Journal of Human-Computer Studies, ACM Transactions on Intelligent Systems and Technology and i-com.

In The Last Decade

Co-authorship network of co-authors of Fatih Gedikli i

Fields of papers citing papers by Fatih Gedikli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fatih Gedikli

Since Specialization
Citations

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