Diyar Qader Zeebaree

About

Diyar Qader Zeebaree is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Diyar Qader Zeebaree has authored 12 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Diyar Qader Zeebaree’s work include AI in cancer detection (3 papers), Machine Learning and ELM (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). Diyar Qader Zeebaree is often cited by papers focused on AI in cancer detection (3 papers), Machine Learning and ELM (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). Diyar Qader Zeebaree collaborates with scholars based in Iraq, Malaysia and China. Diyar Qader Zeebaree's co-authors include Dilovan Asaad Zebari, Adnan Mohsin Abdulazeez, Adnan Mohsin Abdulazeez, Mazin Abed Mohammed, Habibollah Haron, Dheyaa Ahmed Ibrahim, Rytis Maskeliūnas, Robertas Damaševičius, Subhi R. M. Zeebaree and Rizgar R. Zebari and has published in prestigious journals such as Applied Sciences, Heliyon and Biomedical Signal Processing and Control.

In The Last Decade

Co-authorship network of co-authors of Diyar Qader Zeebaree i

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Fields of papers citing papers by Diyar Qader Zeebaree

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diyar Qader Zeebaree. 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 Diyar Qader Zeebaree. The network helps show where Diyar Qader Zeebaree may publish in the future.

Countries citing papers authored by Diyar Qader Zeebaree

Since Specialization

Citations

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