Ümit Budak

56 total papers · 2.1k total citations
25 papers, 1.2k citations indexed

About

Ümit Budak is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ümit Budak has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Ümit Budak’s work include AI in cancer detection (6 papers), Retinal Imaging and Analysis (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ümit Budak is often cited by papers focused on AI in cancer detection (6 papers), Retinal Imaging and Analysis (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Ümit Budak collaborates with scholars based in Turkey, United States and India. Ümit Budak's co-authors include Abdulkadir Şengür, Yanhui Guo, Deniz Korkmaz, Hakan Açıkgöz, Musa Çıbuk, Ceyhun Yıldız, Zafer Cömert, Varun Bajaj, Erkan Denız and Yaman Akbulut and has published in prestigious journals such as Energy Conversion and Management, Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Ümit Budak

This figure shows the co-authorship network connecting the top 25 collaborators of Ümit Budak. A scholar is included among the top collaborators of Ümit Budak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ümit Budak. Ümit Budak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Ümit Budak

24 papers receiving 1.1k citations

Fields of papers citing papers by Ümit Budak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ümit Budak

Since Specialization
Citations

This map shows the geographic impact of Ümit Budak'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 Ümit Budak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ümit Budak 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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2026