Thomas Bürger
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
- Spectroscopy 23
- Advanced Proteomics Techniques and Applications 23
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- Hand Gesture Recognition Systems 13
- Co-authors
- Christophe Bruley (8 shared papers)Laurent Gatto (5 shared papers)Myriam Ferro (4 shared papers)Cosmin Lazar (3 shared papers)Sébastien Destercke (6 shared papers)Yohann Couté (10 shared papers)Samuel Wieczorek (6 shared papers)Quentin Giai Gianetto (4 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Bioinformatics (3 papers)Molecular & Cellular Proteomics (3 papers)PROTEOMICS (3 papers)Pattern Recognition (2 papers)
- Partner nations
- FranceTürkiyeUnited Kingdom
In The Last Decade
Thomas Bürger
70 papers receiving 1.5k citations
Thomas Bürger's Hit Papers
Peers
Comparison fields: 5 of 132
- Spectroscopy 433
- Human-Computer Interaction 99
- Management Science and Operations Research 165
- Molecular Biology 382
- Aging 8
Countries citing papers authored by Thomas Bürger
This map shows the geographic impact of Thomas Bürger'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 Thomas Bürger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Bürger more than expected).
Fields of papers citing papers by Thomas Bürger
This network shows the impact of papers produced by Thomas Bürger. 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 Thomas Bürger. The network helps show where Thomas Bürger may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Bürger, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies Hit paper breakdown → | 2016 | 338 |
| 2 | 2016 | 229 | |
| 3 | 2012 | 90 | |
| 4 | 2014 | 84 | |
| 5 | 2014 | 82 | |
| 6 | 2017 | 71 | |
| 7 | 2015 | 57 | |
| 8 | 2014 | 43 | |
| 9 | 2020 | 42 | |
| 10 | 2008 | 37 | |
| 11 | 2008 | 34 | |
| 12 | 2014 | 33 | |
| 13 | 2014 | 25 | |
| 14 | 2015 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2006 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2005 | 15 | |
| 19 | 2019 | 13 | |
| 20 | 2013 | 12 |
About Thomas Bürger
Thomas Bürger is a scholar working on Spectroscopy, Human-Computer Interaction, Management Science and Operations Research, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (23 papers), Hand Gesture Recognition Systems (13 papers), Multi-Criteria Decision Making (12 papers), Bioinformatics and Genomic Networks (4 papers), Handwritten Text Recognition Techniques (4 papers), Context-Aware Activity Recognition Systems (3 papers), Speech and Audio Processing (3 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Spectroscopy (433 citations), Human-Computer Interaction (99 citations), Management Science and Operations Research (165 citations), Molecular Biology (382 citations) and Aging (8 citations). Thomas Bürger has collaborated with scholars based in France, Türkiye and United Kingdom. Frequent co-authors include Christophe Bruley, Laurent Gatto, Myriam Ferro, Cosmin Lazar, Sébastien Destercke, Yohann Couté, Samuel Wieczorek, Quentin Giai Gianetto, Alice Caplier and Florence Combes. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, Molecular & Cellular Proteomics, PROTEOMICS and Pattern Recognition.
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.