Gabriele Steidl

42 papers and 463 indexed citations i.

About

Gabriele Steidl is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Gabriele Steidl has authored 42 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Theory and Mathematics and 11 papers in Computational Mechanics. Recurrent topics in Gabriele Steidl’s work include Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (7 papers) and Mathematical Analysis and Transform Methods (5 papers). Gabriele Steidl is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (7 papers) and Mathematical Analysis and Transform Methods (5 papers). Gabriele Steidl collaborates with scholars based in Germany, France and Italy. Gabriele Steidl's co-authors include Daniel Potts, Manfred Tasche, Stephan Dahlke, Gerd Teschke, Joachim Weickert, Mila Nikolova, Daniel J. Strauß, Tanja Teuber, Pavel Mrázek⋆ and Sebastian Neumayer and has published in prestigious journals such as IEEE Transactions on Image Processing, Mathematics of Computation and Journal of Materials Processing Technology.

In The Last Decade

Co-authorship network of co-authors of Gabriele Steidl i

Fields of papers citing papers by Gabriele Steidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriele Steidl

Since Specialization
Citations

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