Thomas Lampert
Impact in
- Health Informatics top 10%
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Blind Source Separation Techniques 5
- Time Series Analysis and Forecasting 4
-
- Anomaly Detection Techniques and Applications 3
- AI in cancer detection 3
- Co-authors
- Simon O’Keefe (6 shared papers)Pierre Gançarski (8 shared papers)André Stumpf (2 shared papers)Cédric Wemmert (3 shared papers)Friedrich Feuerhake (3 shared papers)Juan José Escobar (3 shared papers)Beatriz Prieto (3 shared papers)A. F. Díaz (2 shared papers)
- Journals
- Pattern Recognition (3 papers)Machine Learning (2 papers)Artificial Intelligence in Medicine (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Thomas Lampert
28 papers receiving 320 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 16
- Signal Processing 80
- Developmental Biology 13
- Artificial Intelligence 106
- Oceanography 39
Countries citing papers authored by Thomas Lampert
This map shows the geographic impact of Thomas Lampert'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 Lampert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lampert more than expected).
Fields of papers citing papers by Thomas Lampert
This network shows the impact of papers produced by Thomas Lampert. 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 Lampert. The network helps show where Thomas Lampert may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Lampert, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 64 | |
| 2 | 2016 | 55 | |
| 3 | 2018 | 21 | |
| 4 | 2022 | 20 | |
| 5 | 2012 | 19 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2011 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2012 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2009 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Thomas Lampert
Thomas Lampert is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Analytical Chemistry and Surgery, having authored 30 papers that have together received 331 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (3 papers), AI in cancer detection (3 papers), Cell Image Analysis Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Surgical Simulation and Training (2 papers). The work is most often cited by research in Health Informatics (16 citations), Signal Processing (80 citations), Developmental Biology (13 citations), Artificial Intelligence (106 citations) and Oceanography (39 citations). Thomas Lampert has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Simon O’Keefe, Pierre Gançarski, André Stumpf, Cédric Wemmert, Friedrich Feuerhake, Juan José Escobar, Beatriz Prieto, A. F. Díaz, Christel Vrain and Thi-Bich-Hanh Dao. Their work appears in journals such as Pattern Recognition, Machine Learning, Artificial Intelligence in Medicine, IEEE Transactions on Image Processing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.