Kamer Kaya

3 papers and 43 indexed citations i.

About

Kamer Kaya is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Kamer Kaya has authored 3 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Epidemiology. Recurrent topics in Kamer Kaya’s work include Graph Theory and Algorithms (1 paper), Advanced Graph Neural Networks (1 paper) and Influenza Virus Research Studies (1 paper). Kamer Kaya is often cited by papers focused on Graph Theory and Algorithms (1 paper), Advanced Graph Neural Networks (1 paper) and Influenza Virus Research Studies (1 paper). Kamer Kaya collaborates with scholars based in United States, Türkiye and Qatar. Kamer Kaya's co-authors include Ümit V. Çatalyürek, Izzet F. Senturk, Ahmet Erdem Sarıyüce, Laura W. Pomeroy and Qutaibah Malluhi and has published in prestigious journals such as Future Generation Computer Systems, Cladistics and Journal of Parallel and Distributed Computing.

In The Last Decade

Fields of papers citing papers by Kamer Kaya

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kamer Kaya. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025