Michaël Mathot
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Process Chemistry and Technology top 10%
Papers in
-
- Sustainable Agricultural Systems Analysis 8
-
- Ruminant Nutrition and Digestive Physiology 4
- Livestock Farming and Management 1
- Co-authors
- Didier Stilmant (9 shared papers)Virginie Decruyenaere (4 shared papers)Viviane Planchón (3 shared papers)R. Lambert (3 shared papers)Jean‐Pierre Goffart (2 shared papers)Frédéric Debode (1 shared paper)Frédéric Dehareng (1 shared paper)Éric Froidmont (2 shared papers)
In The Last Decade
Michaël Mathot
13 papers receiving 345 citations
Peers
Comparison fields: 5 of 41
- Agronomy and Crop Science 112
- Process Chemistry and Technology 17
- Environmental Chemistry 57
- Environmental Engineering 63
- Soil Science 66
Countries citing papers authored by Michaël Mathot
This map shows the geographic impact of Michaël Mathot'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 Michaël Mathot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Mathot more than expected).
Fields of papers citing papers by Michaël Mathot
This network shows the impact of papers produced by Michaël Mathot. 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 Michaël Mathot. The network helps show where Michaël Mathot may publish in the future.
Co-authors
The 24 scholars most cited alongside Michaël Mathot, 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 | 2022 | 81 | |
| 2 | 2016 | 75 | |
| 3 | 2016 | 39 | |
| 4 | 2008 | 36 | |
| 5 | 2012 | 35 | |
| 6 | 2015 | 32 | |
| 7 | 2008 | 20 | |
| 8 | 2017 | 16 | |
| 9 | 2016 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2015 | 2 | |
| 13 | 2023 | 1 |
About Michaël Mathot
Michaël Mathot is a scholar working on Environmental Chemistry, Agronomy and Crop Science, Soil Science, Ecology and Environmental Engineering, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Sustainable Agricultural Systems Analysis (8 papers), Agriculture Sustainability and Environmental Impact (4 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Environmental Impact and Sustainability (2 papers), Nitrogen and Sulfur Effects on Brassica (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper) and Livestock Farming and Management (1 paper). The work is most often cited by research in Agronomy and Crop Science (112 citations), Process Chemistry and Technology (17 citations), Environmental Chemistry (57 citations), Environmental Engineering (63 citations) and Soil Science (66 citations). Michaël Mathot has collaborated with scholars based in Belgium, France and Italy. Frequent co-authors include Didier Stilmant, Virginie Decruyenaere, Viviane Planchón, R. Lambert, Jean‐Pierre Goffart, Frédéric Debode, Frédéric Dehareng, Éric Froidmont, Matthew H. Deighton and Amélie Vanlierde. Their work appears in journals such as European Journal of Agronomy, Agriculture Ecosystems & Environment, Journal of Animal Science, The International Journal of Life Cycle Assessment and Animals.
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.