Mira Valkonen

8 papers and 104 indexed citations i.

About

Mira Valkonen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mira Valkonen has authored 8 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mira Valkonen’s work include AI in cancer detection (7 papers), Cell Image Analysis Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). Mira Valkonen is often cited by papers focused on AI in cancer detection (7 papers), Cell Image Analysis Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). Mira Valkonen collaborates with scholars based in Finland. Mira Valkonen's co-authors include Pekka Ruusuvuori, Matti Nykter, Leena Latonen, Kimmo Kartasalo, Kaisa Liimatainen, Jorma Isola, Teemu Tolonen, Tapio Visakorpi, Gunilla Högnäs and G. Steven Bova and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Mira Valkonen i

Fields of papers citing papers by Mira Valkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mira Valkonen

Since Specialization
Citations

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