Refik Soyer

88 papers and 1.4k indexed citations i.

About

Refik Soyer is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Refik Soyer has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 23 papers in Artificial Intelligence and 23 papers in Management Science and Operations Research. Recurrent topics in Refik Soyer’s work include Statistical Distribution Estimation and Applications (27 papers), Reliability and Maintenance Optimization (22 papers) and Software Reliability and Analysis Research (17 papers). Refik Soyer is often cited by papers focused on Statistical Distribution Estimation and Applications (27 papers), Reliability and Maintenance Optimization (22 papers) and Software Reliability and Analysis Research (17 papers). Refik Soyer collaborates with scholars based in United States, Italy and Türkiye. Refik Soyer's co-authors include Thomas A. Mazzuchi, Emmanuel A. Donkor, J. Alan Roberson, Ehsan S. Soofi, Nozer D. Singpurwalla, Alaattin Erkanli, Fabrizio Ruggeri, Süleyman Özekıcı, Nader Ebrahimi and Murat Tarimcilar and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Co-authorship network of co-authors of Refik Soyer i

Fields of papers citing papers by Refik Soyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Refik Soyer

Since Specialization
Citations

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