Geert Haesaert
- Plant Science top 0.2%
- Cell Biology top 1%
- Food Science top 1%
- Ecology, Evolution, Behavior and Systematics top 1%
- Molecular Biology
- Co-authors
- Kris AudenaertSarah De SaegerSofie LandschootMonica HöfteBernard De BaetsMaarten AmeyeFranz BerthillerMia Eeckhout
- Topics
- Mycotoxins in Agriculture and Food (73 papers)Wheat and Barley Genetics and Pathology (46 papers)Plant Pathogens and Fungal Diseases (44 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
In The Last Decade
Geert Haesaert
209 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Plant Science 4.3k
- Cell Biology 1.1k
- Food Science 759
- Ecology, Evolution, Behavior and Systematics 698
- Molecular Biology 608
Countries citing papers authored by Geert Haesaert
This map shows the geographic impact of Geert Haesaert'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 Geert Haesaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert Haesaert more than expected).
Fields of papers citing papers by Geert Haesaert
This network shows the impact of papers produced by Geert Haesaert. 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 Geert Haesaert. The network helps show where Geert Haesaert may publish in the future.
Co-authorship network of co-authors of Geert Haesaert
This figure shows the co-authorship network connecting the top 25 collaborators of Geert Haesaert. A scholar is included among the top collaborators of Geert Haesaert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geert Haesaert. Geert Haesaert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 39 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | The application of microalgae as a slow-release fertilizer: tomato cultivation as a model | 1 |
| 16 | Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat | 1 |
| 17 | Monitoring wheat fields in Belgium to assess the role of aphids in the spread of Fusarium | 1 |
| 18 | An approach to developing a marker assisted selection system for tolerance to pre-harvest sprouting in triticale | 3 |
| 19 | The distribution of Fusarium mycotoxins in maize: preliminary results | 1 |
| 20 | Effects of selected commercial fungicides on late blight infection during the potato growing season | 2 |
About Geert Haesaert
Geert Haesaert is a scholar working on Plant Science, Agronomy and Crop Science and Cell Biology, having authored 219 papers that have together received 5.6k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (73 papers), Wheat and Barley Genetics and Pathology (46 papers) and Plant Pathogens and Fungal Diseases (44 papers). The work is most often cited by research in Plant Science (4.3k citations), Cell Biology (1.1k citations) and Food Science (759 citations). Geert Haesaert has collaborated with scholars based in Belgium, Tanzania and Germany. Frequent co-authors include Kris Audenaert, Sarah De Saeger, Sofie Landschoot, Monica Höfte, Bernard De Baets, Maarten Ameye, Franz Berthiller, Mia Eeckhout, Marthe De Boevre and Adriaan Vanheule. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.