Ida‐Maria Sintorn

40 papers and 846 indexed citations i.

About

Ida‐Maria Sintorn is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology. According to data from OpenAlex, Ida‐Maria Sintorn has authored 40 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Biophysics and 10 papers in Media Technology. Recurrent topics in Ida‐Maria Sintorn’s work include Cell Image Analysis Techniques (11 papers), Image Processing Techniques and Applications (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Ida‐Maria Sintorn is often cited by papers focused on Cell Image Analysis Techniques (11 papers), Image Processing Techniques and Applications (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Ida‐Maria Sintorn collaborates with scholars based in Sweden, Estonia and United Kingdom. Ida‐Maria Sintorn's co-authors include Carolina Wählby, G. Borgefors, Ewert Bengtsson, Fredrik Erlandsson, Gunilla Borgefors, Amit Suveer, Anindya Gupta, Ola Spjuth, Philip J. Harrison and Peter Grones and has published in prestigious journals such as PLoS ONE, Developmental Cell and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Co-authorship network of co-authors of Ida‐Maria Sintorn i

Fields of papers citing papers by Ida‐Maria Sintorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ida‐Maria Sintorn. 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 Ida‐Maria Sintorn. The network helps show where Ida‐Maria Sintorn may publish in the future.

Countries citing papers authored by Ida‐Maria Sintorn

Since Specialization
Citations

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