Christine De Mol

43 papers and 4.6k indexed citations i.

About

Christine De Mol is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Christine De Mol has authored 43 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Mathematical Physics and 13 papers in Computational Mechanics. Recurrent topics in Christine De Mol’s work include Image and Signal Denoising Methods (15 papers), Inverse Problems in Mathematical Physics and Imaging (14 papers) and Sparse and Compressive Sensing Techniques (13 papers). Christine De Mol is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Inverse Problems in Mathematical Physics and Imaging (14 papers) and Sparse and Compressive Sensing Techniques (13 papers). Christine De Mol collaborates with scholars based in Belgium, Italy and United Kingdom. Christine De Mol's co-authors include Ingrid Daubechies, Michel Defrise, Domenico Giannone, M. Bertero, E. R. Pike, Lucrezia Reichlin, Ignace Loris, Lorenzo Rosasco, Ernesto De Vito and Alessandro Verri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Image Processing and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Christine De Mol i

Fields of papers citing papers by Christine De Mol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christine De Mol

Since Specialization
Citations

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