Ali Caner Türkmen

8 papers and 115 indexed citations i.

About

Ali Caner Türkmen is a scholar working on Artificial Intelligence, Applied Mathematics and Molecular Biology. According to data from OpenAlex, Ali Caner Türkmen has authored 8 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Applied Mathematics and 2 papers in Molecular Biology. Recurrent topics in Ali Caner Türkmen’s work include Point processes and geometric inequalities (3 papers), Diffusion and Search Dynamics (2 papers) and Face and Expression Recognition (2 papers). Ali Caner Türkmen is often cited by papers focused on Point processes and geometric inequalities (3 papers), Diffusion and Search Dynamics (2 papers) and Face and Expression Recognition (2 papers). Ali Caner Türkmen collaborates with scholars based in Germany, Türkiye and United States. Ali Caner Türkmen's co-authors include Tim Januschowski, Oleksandr Shchur, Stephan Günnemann, Konstantinos Benidis, David Salinas, A. Alexandrov, Syama Sundar Rangapuram, Lorenzo Stella, Valentín Flunkert and Michael Bohlke‐Schneider and has published in prestigious journals such as PLoS ONE, Journal of Machine Learning Research and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Ali Caner Türkmen i

Fields of papers citing papers by Ali Caner Türkmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Caner Türkmen. 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 Ali Caner Türkmen. The network helps show where Ali Caner Türkmen may publish in the future.

Countries citing papers authored by Ali Caner Türkmen

Since Specialization
Citations

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