Maxime Moreaud
Impact in
- Analytical Chemistry top 10%
Papers in
-
- Machine Learning in Materials Science 6
- Catalytic Processes in Materials Science 6
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- Advanced Chemical Sensor Technologies 6
- Co-authors
- Dominique Jeulin (13 shared papers)Vincent Souchon (10 shared papers)Aleksandra Lelević (9 shared papers)Chantal Lorentz (9 shared papers)Loïc Sorbier (17 shared papers)C. Geantet (8 shared papers)Anne‐Sophie Gay (4 shared papers)Pascal Raybaud (3 shared papers)
- Journals
- Image Analysis & Stereology (7 papers)Journal of Microscopy (5 papers)Journal of Separation Science (3 papers)Microscopy and Microanalysis (3 papers)Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles (2 papers)
- Partner nations
- FranceCanadaSwitzerland
In The Last Decade
Maxime Moreaud
55 papers receiving 558 citations
Peers
Comparison fields: 5 of 84
- Analytical Chemistry 50
- Catalysis 35
- Spectroscopy 78
- Industrial and Manufacturing Engineering 38
- Materials Chemistry 202
Countries citing papers authored by Maxime Moreaud
This map shows the geographic impact of Maxime Moreaud'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 Maxime Moreaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Moreaud more than expected).
Fields of papers citing papers by Maxime Moreaud
This network shows the impact of papers produced by Maxime Moreaud. 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 Maxime Moreaud. The network helps show where Maxime Moreaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Moreaud, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2020 | 39 | |
| 3 | 2022 | 36 | |
| 4 | 2008 | 34 | |
| 5 | 2019 | 33 | |
| 6 | 2015 | 24 | |
| 7 | 2011 | 24 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2013 | 19 | |
| 11 | 2014 | 18 | |
| 12 | 2011 | 15 | |
| 13 | 2021 | 11 | |
| 14 | 2017 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2015 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 8 |
About Maxime Moreaud
Maxime Moreaud is a scholar working on Materials Chemistry, Biomedical Engineering, Computer Vision and Pattern Recognition, Spectroscopy and Mechanical Engineering, having authored 59 papers that have together received 568 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (10 papers), Theoretical and Computational Physics (7 papers), Enhanced Oil Recovery Techniques (7 papers), Advanced Chemical Sensor Technologies (6 papers), Machine Learning in Materials Science (6 papers), Medical Image Segmentation Techniques (6 papers), Catalytic Processes in Materials Science (6 papers) and Electron and X-Ray Spectroscopy Techniques (5 papers). The work is most often cited by research in Analytical Chemistry (50 citations), Catalysis (35 citations), Spectroscopy (78 citations), Industrial and Manufacturing Engineering (38 citations) and Materials Chemistry (202 citations). Maxime Moreaud has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Dominique Jeulin, Vincent Souchon, Aleksandra Lelević, Chantal Lorentz, Loïc Sorbier, C. Geantet, Anne‐Sophie Gay, Pascal Raybaud, Laurent Duval and Ovidiu Ersen. Their work appears in journals such as Image Analysis & Stereology, Journal of Microscopy, Journal of Separation Science, Microscopy and Microanalysis and Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles.
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.