Xavier Siebert
Impact in
- Structural Biology top 10%
Papers in
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- Music Technology and Sound Studies 5
- Video Analysis and Summarization 5
- Advanced Neural Network Applications 2
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- Music and Audio Processing 8
- Co-authors
- L. Mario Amzel (4 shared papers)Nicolas Gillis (1 shared paper)Jorge Navaza (3 shared papers)Richard E. Mains (2 shared papers)Betty Eipper (2 shared papers)Sean T. Prigge (2 shared papers)Gerhard Hummer (1 shared paper)Ninian J. Blackburn (1 shared paper)
- Journals
- Electronics (2 papers)Journal of the American Chemical Society (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Machine Learning (1 paper)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Xavier Siebert
27 papers receiving 315 citations
Peers
Comparison fields: 5 of 101
- Structural Biology 13
- Computational Mathematics 3
- Inorganic Chemistry 56
- Computer Vision and Pattern Recognition 70
- Health Informatics 3
Countries citing papers authored by Xavier Siebert
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).
Fields of papers citing papers by Xavier Siebert
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.
Co-authors
The 25 scholars most cited alongside Xavier Siebert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2005 | 41 | |
| 3 | 2010 | 38 | |
| 4 | 2003 | 29 | |
| 5 | 2009 | 24 | |
| 6 | 2002 | 24 | |
| 7 | 2008 | 21 | |
| 8 | 2008 | 17 | |
| 9 | 2023 | 8 | |
| 10 | MEDIACYCLE: BROWSING AND PERFORMING WITH SOUND AND IMAGE LIBRARIES | 2009 | 7 |
| 11 | 2005 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2016 | 5 | |
| 15 | Browsing Sound and Music Libraries by Similarity | 2010 | 5 |
| 16 | 2010 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2007 | 2 | |
| 20 | 2014 | 2 |
About Xavier Siebert
Xavier Siebert is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, Artificial Intelligence and Control and Systems Engineering, having authored 31 papers that have together received 324 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Music Technology and Sound Studies (5 papers), Video Analysis and Summarization (5 papers), Protein Structure and Dynamics (3 papers), Human Motion and Animation (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Structural Biology (13 citations), Computational Mathematics (3 citations), Inorganic Chemistry (56 citations), Computer Vision and Pattern Recognition (70 citations) and Health Informatics (3 citations). Xavier Siebert has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include L. Mario Amzel, Nicolas Gillis, Jorge Navaza, Richard E. Mains, Betty Eipper, Sean T. Prigge, Gerhard Hummer, Ninian J. Blackburn, Stéphane Dupont and Eduardo E. Chufán. Their work appears in journals such as Electronics, Journal of the American Chemical Society, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Proteins Structure Function and Bioinformatics and Machine Learning.
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.