Valentin De Bortoli

About

Valentin De Bortoli is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Valentin De Bortoli has authored 14 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 6 papers in Statistics and Probability. Recurrent topics in Valentin De Bortoli’s work include Markov Chains and Monte Carlo Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Valentin De Bortoli is often cited by papers focused on Markov Chains and Monte Carlo Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). Valentin De Bortoli collaborates with scholars based in France, United Kingdom and Italy. Valentin De Bortoli's co-authors include Alain Durmus, Marcelo Pereyra, Julie Delon, Andrés Almansa, Yu‐An Huang, Fugen Zhou, Jérôme Gilles, Marc Mézard, Giulio Biroli and Roland Badeau and has published in prestigious journals such as Nature Communications, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Statistical Science.

In The Last Decade

Co-authorship network of co-authors of Valentin De Bortoli i

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Fields of papers citing papers by Valentin De Bortoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin De Bortoli. 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 Valentin De Bortoli. The network helps show where Valentin De Bortoli may publish in the future.

Countries citing papers authored by Valentin De Bortoli

Since Specialization

Citations

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