Danyal Akarca

23 papers and 111 indexed citations i.

About

Danyal Akarca is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Danyal Akarca has authored 23 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Danyal Akarca’s work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Danyal Akarca is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Danyal Akarca collaborates with scholars based in United Kingdom, United States and Italy. Danyal Akarca's co-authors include Duncan E. Astle, Edward T. Bullmore, Mark H. Johnson, Joe Bathelt, Andrew Durnford, Silvana Mareva, Amy R. Johnson, Kate Baker, John Duncan and Eiko I. Fried and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Brain.

In The Last Decade

Co-authorship network of co-authors of Danyal Akarca i

Fields of papers citing papers by Danyal Akarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danyal Akarca

Since Specialization
Citations

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