İshak Paçal

41 papers and 922 indexed citations i.

About

İshak Paçal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, İshak Paçal has authored 41 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in İshak Paçal’s work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and COVID-19 diagnosis using AI (9 papers). İshak Paçal is often cited by papers focused on AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and COVID-19 diagnosis using AI (9 papers). İshak Paçal collaborates with scholars based in Türkiye, Saudi Arabia and Portugal. İshak Paçal's co-authors include Derviş Karaboğa, Bahriye Akay, Alper Baştürk, Ufuk Nalbantoğlu, Serhat Kılıçarslan, Ferhat D. Zengul, Ahmet Karaman, Ömer Çelik, A. Cunha and Özkan Ufuk Nalbantoğlu and has published in prestigious journals such as Brain Research, Scientific Reports and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of İshak Paçal i

Fields of papers citing papers by İshak Paçal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by İshak Paçal

Since Specialization
Citations

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