Kamer Kaya

48 papers and 386 indexed citations i.

About

Kamer Kaya is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kamer Kaya has authored 48 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Kamer Kaya’s work include Cryptography and Data Security (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Graph Neural Networks (8 papers). Kamer Kaya is often cited by papers focused on Cryptography and Data Security (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Graph Neural Networks (8 papers). Kamer Kaya collaborates with scholars based in Türkiye, United States and France. Kamer Kaya's co-authors include Bora Uçar, Cevdet Aykanat, Ali Aydın Selçuk, Ümit V. Çatalyürek, Érik Saule, Iain Duff, Onur Küçüktunç, Ahmet Erdem Sarıyüce, Mehmet Deveci and Hüsnü Yenigün and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Software Engineering.

In The Last Decade

Co-authorship network of co-authors of Kamer Kaya i

Fields of papers citing papers by Kamer Kaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kamer Kaya

Since Specialization
Citations

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