Erkam Güreşen

5 papers and 600 indexed citations i.

About

Erkam Güreşen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Erkam Güreşen has authored 5 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 2 papers in Economics and Econometrics. Recurrent topics in Erkam Güreşen’s work include Neural Networks and Applications (2 papers), Market Dynamics and Volatility (1 paper) and Traffic Prediction and Management Techniques (1 paper). Erkam Güreşen is often cited by papers focused on Neural Networks and Applications (2 papers), Market Dynamics and Volatility (1 paper) and Traffic Prediction and Management Techniques (1 paper). Erkam Güreşen collaborates with scholars based in Türkiye and United States. Erkam Güreşen's co-authors include Gülgün Kayakutlu, Tuğrul Daim, Serkan Gümüş, Asil Oztekin and İsmail Önden and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Procedia Computer Science.

In The Last Decade

Co-authorship network of co-authors of Erkam Güreşen i

Fields of papers citing papers by Erkam Güreşen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erkam Güreşen

Since Specialization
Citations

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