Patrick Forré
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
- Chromatography in Natural Products
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- Analytical Chemistry and Chromatography
Papers in
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- Analytical Chemistry and Chromatography 5
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- Microfluidic and Capillary Electrophoresis Applications 3
- Co-authors
- Bernd Ensing (6 shared papers)Bob W.J. Pirok (5 shared papers)Marco Federici (1 shared paper)Nate Kushman (1 shared paper)Anjan Dutta (1 shared paper)Zeynep Akata (1 shared paper)Saer Samanipour (2 shared papers)Max Welling (3 shared papers)
- Journals
- Journal of Chromatography A (3 papers)Journal für die reine und angewandte Mathematik (Crelles Journal) (2 papers)Optics Express (1 paper)Analytica Chimica Acta (1 paper)Astronomy and Computing (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Patrick Forré
18 papers receiving 197 citations
Peers
Comparison fields: 5 of 62
- Analytical Chemistry 38
- Spectroscopy 58
- Computer Vision and Pattern Recognition 46
- Artificial Intelligence 55
- Geometry and Topology 12
Countries citing papers authored by Patrick Forré
This map shows the geographic impact of Patrick Forré'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 Patrick Forré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Forré more than expected).
Fields of papers citing papers by Patrick Forré
This network shows the impact of papers produced by Patrick Forré. 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 Patrick Forré. The network helps show where Patrick Forré may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Forré, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2022 | 30 | |
| 3 | 2023 | 28 | |
| 4 | 2021 | 23 | |
| 5 | Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models. | 2021 | 11 |
| 6 | 2023 | 10 | |
| 7 | 2011 | 10 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2013 | 2 | |
| 14 | 2024 | 2 | |
| 15 | LPF: Real-time detection of transient sources in radio data streams | 2021 | 1 |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | Argmax Flows: Learning Categorical Distributions with Normalizing Flows | 2020 | 1 |
| 19 | 2023 | 0 |
About Patrick Forré
Patrick Forré is a scholar working on Spectroscopy, Biomedical Engineering, Artificial Intelligence, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 202 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (5 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Radio Astronomy Observations and Technology (2 papers), Commutative Algebra and Its Applications (2 papers), Polynomial and algebraic computation (2 papers), Algebraic Geometry and Number Theory (2 papers), Graph theory and applications (1 paper) and Wildlife Ecology and Conservation (1 paper). The work is most often cited by research in Analytical Chemistry (38 citations), Spectroscopy (58 citations), Computer Vision and Pattern Recognition (46 citations), Artificial Intelligence (55 citations) and Geometry and Topology (12 citations). Patrick Forré has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Bernd Ensing, Bob W.J. Pirok, Marco Federici, Nate Kushman, Anjan Dutta, Zeynep Akata, Saer Samanipour, Max Welling, Dwight R. Stoll and Govert W. Somsen. Their work appears in journals such as Journal of Chromatography A, Journal für die reine und angewandte Mathematik (Crelles Journal), Optics Express, Analytica Chimica Acta and Astronomy and Computing.
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.