Nina Linder

53 papers and 1.8k indexed citations i.

About

Nina Linder is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Nina Linder has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Oncology. Recurrent topics in Nina Linder’s work include AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Cell Image Analysis Techniques (11 papers). Nina Linder is often cited by papers focused on AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Cell Image Analysis Techniques (11 papers). Nina Linder collaborates with scholars based in Finland, Sweden and Germany. Nina Linder's co-authors include Johan Lundin, Mikael Lundin, Riku Turkki, Kari O. Raivio, Caj Haglund, Stig Nordling, Panu E. Kovanen, Clare Verrill, Dmitrii Bychkov and Annikki Sarnesto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Nina Linder i

Fields of papers citing papers by Nina Linder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nina Linder

Since Specialization
Citations

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