Şeyda Ertekin

About

Şeyda Ertekin is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Şeyda Ertekin has authored 24 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Şeyda Ertekin’s work include Energy Load and Power Forecasting (4 papers), Machine Learning and Data Classification (3 papers) and Stock Market Forecasting Methods (3 papers). Şeyda Ertekin is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Machine Learning and Data Classification (3 papers) and Stock Market Forecasting Methods (3 papers). Şeyda Ertekin collaborates with scholars based in United States and Türkiye. Şeyda Ertekin's co-authors include Cynthia Rudin, C. Lee Giles, Léon Bottou, Tyler H. McCormick, Uğur Halıcı, Ramin Moghaddass, Haym Hirsh, Ding Zhou, Rebecca J. Passonneau and Ding Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Şeyda Ertekin i

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Fields of papers citing papers by Şeyda Ertekin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Şeyda Ertekin

Since Specialization

Citations

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