Ali Dağ

23 papers and 533 indexed citations i.

About

Ali Dağ is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Ali Dağ has authored 23 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 5 papers in Economics and Econometrics. Recurrent topics in Ali Dağ’s work include Imbalanced Data Classification Techniques (6 papers), Healthcare Operations and Scheduling Optimization (3 papers) and Stock Market Forecasting Methods (3 papers). Ali Dağ is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Healthcare Operations and Scheduling Optimization (3 papers) and Stock Market Forecasting Methods (3 papers). Ali Dağ collaborates with scholars based in United States, Türkiye and Iran. Ali Dağ's co-authors include Asil Oztekin, Kazim Topuz, Babak Daneshvar Rouyendegh, Fadel M. Megahed, Mehmet Bayram Yildirim, Ferhat D. Zengul, Ammar Almehmi, Ugur Kursuncu, Dursun Delen and Mehmet Barut and has published in prestigious journals such as Journal of Business Research, Expert Systems with Applications and Journal of Management Information Systems.

In The Last Decade

Co-authorship network of co-authors of Ali Dağ i

Fields of papers citing papers by Ali Dağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ali Dağ

Since Specialization
Citations

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