Irene Gargantini

31 papers and 880 indexed citations i.

About

Irene Gargantini is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Irene Gargantini has authored 31 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Numerical Analysis and 7 papers in Computational Theory and Mathematics. Recurrent topics in Irene Gargantini’s work include Digital Image Processing Techniques (14 papers), Medical Image Segmentation Techniques (13 papers) and Iterative Methods for Nonlinear Equations (7 papers). Irene Gargantini is often cited by papers focused on Digital Image Processing Techniques (14 papers), Medical Image Segmentation Techniques (13 papers) and Iterative Methods for Nonlinear Equations (7 papers). Irene Gargantini collaborates with scholars based in Canada and Switzerland. Irene Gargantini's co-authors include Peter Henrici, Timothy R. Walsh, Maya Ramanath, G. Schrack, Lewis M. Brown, John A. Barron and Michael Bauer and has published in prestigious journals such as Communications of the ACM, Mathematics of Computation and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Irene Gargantini i

Fields of papers citing papers by Irene Gargantini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irene Gargantini

Since Specialization
Citations

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