Xavier Siebert

19 papers and 264 indexed citations i.

About

Xavier Siebert is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xavier Siebert has authored 19 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Xavier Siebert’s work include Protein Structure and Dynamics (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Porphyrin Metabolism and Disorders (2 papers). Xavier Siebert is often cited by papers focused on Protein Structure and Dynamics (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Porphyrin Metabolism and Disorders (2 papers). Xavier Siebert collaborates with scholars based in Belgium, France and United States. Xavier Siebert's co-authors include L. Mario Amzel, Nicolas Gillis, Jorge Navaza, Betty Eipper, Sean T. Prigge, Richard E. Mains, Gerhard Hummer, Ninian J. Blackburn, Eduardo E. Chufán and Malika Ouldali and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Xavier Siebert i

Fields of papers citing papers by Xavier Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xavier Siebert

Since Specialization
Citations

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