Xavier Siebert

35 papers receiving 382 citations

Peers

Xavier Siebert
Comparison fields: 5 of 106
  • Structural Biology 13
  • Computational Mathematics 4
  • Inorganic Chemistry 60
  • Computer Vision and Pattern Recognition 94
  • Signal Processing 34
Replace Talha Bin Masood with:
Talha Bin Masood Sweden
Katarína Furmanová Czechia
Jingyan Wang China
Sovan Biswas India
Ulrich Bauer Germany
Yung-Pin Chen United States
Andrew J. Ballard United States
N. Campbell United Kingdom
Norman W. Johnson United States
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Citations per field
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Citations per year

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).

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.

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.

Border = papers with Xavier Siebert Line = papers co-authored together Xavier Siebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202170
2 200543
3 201042
4 200331
5 200926
6 200224
7 200821
8 200818
9 202313
10 20148
11 20238
12
MEDIACYCLE: BROWSING AND PERFORMING WITH SOUND AND IMAGE LIBRARIES
20097
13 20127
14
Near-Convex Archetypal Analysis
20206
15 20056
16 20126
17
Browsing Sound and Music Libraries by Similarity
20106
18 20145
19 20105
20 20165

About Xavier Siebert

Xavier Siebert is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Molecular Biology and Control and Systems Engineering, having authored 38 papers that have together received 395 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Video Analysis and Summarization (7 papers), Music Technology and Sound Studies (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Human Motion and Animation (3 papers), Artificial Intelligence in Healthcare (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Structural Biology (13 citations), Computational Mathematics (4 citations), Inorganic Chemistry (60 citations), Computer Vision and Pattern Recognition (94 citations) and Signal Processing (34 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, Stéphane Dupont, Eduardo E. Chufán and Ninian J. Blackburn. Their work appears in journals such as Electronics, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Expert Systems with Applications, Journal of Virology and Biophysical Journal.

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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