Aydan M. Erkmen

About

Aydan M. Erkmen is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Aydan M. Erkmen has authored 54 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 14 papers in Mechanical Engineering. Recurrent topics in Aydan M. Erkmen’s work include Robot Manipulation and Learning (14 papers), Modular Robots and Swarm Intelligence (8 papers) and Neural Networks and Applications (8 papers). Aydan M. Erkmen is often cited by papers focused on Robot Manipulation and Learning (14 papers), Modular Robots and Swarm Intelligence (8 papers) and Neural Networks and Applications (8 papers). Aydan M. Erkmen collaborates with scholars based in Türkiye, United States and Japan. Aydan M. Erkmen's co-authors include İsmet Erkmen, Mehmet Sinan Beksaç, Burak Kantarcı, Fumitoshi Matsuno, R. Chatterjee, Tetsushi Kamegawa, H.E. Stephanou, Nazife Baykal, Selma Yörükan and A. Erman Tekkaya and has published in prestigious journals such as Sensors, Information Sciences and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Aydan M. Erkmen i

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Fields of papers citing papers by Aydan M. Erkmen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aydan M. Erkmen. 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 Aydan M. Erkmen. The network helps show where Aydan M. Erkmen may publish in the future.

Countries citing papers authored by Aydan M. Erkmen

Since Specialization

Citations

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