Humar Kahramanlı

28 papers and 473 indexed citations i.

About

Humar Kahramanlı is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Humar Kahramanlı has authored 28 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Humar Kahramanlı’s work include Metaheuristic Optimization Algorithms Research (7 papers), Emotion and Mood Recognition (5 papers) and Face and Expression Recognition (4 papers). Humar Kahramanlı is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), Emotion and Mood Recognition (5 papers) and Face and Expression Recognition (4 papers). Humar Kahramanlı collaborates with scholars based in Türkiye and United States. Humar Kahramanlı's co-authors include Novruz Allahverdi, Kazım Çarman, İlhan Asiltürk, Hakan Işık, Murat Köklü, Omar M. Ahmed, Ahmet Akdemir and Şaban Gülcü and has published in prestigious journals such as Energy, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Humar Kahramanlı i

Fields of papers citing papers by Humar Kahramanlı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Humar Kahramanlı

Since Specialization
Citations

This map shows the geographic impact of Humar Kahramanlı'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 Humar Kahramanlı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Humar Kahramanlı 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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2025