Valérie R. Wajs

2 papers and 1.8k indexed citations i.

About

Valérie R. Wajs is a scholar working on Biomedical Engineering, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Valérie R. Wajs has authored 2 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biomedical Engineering, 2 papers in Computational Mechanics and 2 papers in Mathematical Physics. Recurrent topics in Valérie R. Wajs’s work include Sparse and Compressive Sensing Techniques (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Inverse Problems in Mathematical Physics and Imaging (2 papers). Valérie R. Wajs is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Inverse Problems in Mathematical Physics and Imaging (2 papers). Valérie R. Wajs collaborates with scholars based in France. Valérie R. Wajs's co-authors include Patrick L. Combettes, Jean‐Christophe Pesquet and Caroline Chaux and has published in prestigious journals such as Inverse Problems and Multiscale Modeling and Simulation.

In The Last Decade

Co-authorship network of co-authors of Valérie R. Wajs i

Fields of papers citing papers by Valérie R. Wajs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valérie R. Wajs. 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 Valérie R. Wajs. The network helps show where Valérie R. Wajs may publish in the future.

Countries citing papers authored by Valérie R. Wajs

Since Specialization
Citations

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