Xavier Siebert

41 papers receiving 424 citations

Peers

Xavier Siebert
Comparison fields: 5 of 78
  • Structural Biology 23
  • Computational Mathematics 4
  • Inorganic Chemistry 65
  • Computer Vision and Pattern Recognition 93
  • Artificial Intelligence 74
Replace Doyeon Kim with:
Doyeon Kim South Korea
Shiwei Li China
Christopher T. Symons United States
Julie Bernauer France
Zhuoran Qiao United States
Michael Hanselmann Germany
Rafael Vescovi United States
Robin A. Richardson United Kingdom
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 200544
3 201042
4 200330
5 200927
6 200224
7 200821
8 202320
9 200818
10 202310
11 20148
12
MEDIACYCLE: BROWSING AND PERFORMING WITH SOUND AND IMAGE LIBRARIES
20097
13 20127
14 20197
15 20056
16
Browsing Sound and Music Libraries by Similarity
20106
17 20106
18 20106
19 20126
20
Near-Convex Archetypal Analysis
20206

About Xavier Siebert

Xavier Siebert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Physical Therapy, Sports Therapy and Rehabilitation and Inorganic Chemistry, having authored 44 papers that have together received 441 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (4 papers), Video Analysis and Summarization (4 papers), Interactive and Immersive Displays (4 papers), Balance, Gait, and Falls Prevention (3 papers), Protein Structure and Dynamics (3 papers), Metal-Catalyzed Oxygenation Mechanisms (3 papers), Obstructive Sleep Apnea Research (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Structural Biology (23 citations), Computational Mathematics (4 citations), Inorganic Chemistry (65 citations), Computer Vision and Pattern Recognition (93 citations) and Artificial Intelligence (74 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, Sean T. Prigge, Betty A. Eipper, Gerhard Hummer, Sidi Ahmed Mahmoudi, Stéphane Dupont and Eduardo E. Chufán. Their work appears in journals such as Journal of the American Chemical Society, Electronics, Expert Systems with Applications, Proteins Structure Function and Bioinformatics and Biophysical Chemistry.

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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