M. Keuls
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Advanced Statistical Methods and Models
- Plant Science top 10%
- Genetics and Plant Breeding
- Agricultural pest management studies
Papers in
-
- Genetics and Plant Breeding 6
- Greenhouse Technology and Climate Control 3
- Leaf Properties and Growth Measurement 2
- Agricultural pest management studies 1
- Plant Physiology and Cultivation Studies 1
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Frida Garretsen (4 shared papers)C.T. de Wit (1 shared paper)Gert Rietveld (1 shared paper)P. M. L. Tammes (1 shared paper)Nicolaas H. Kuiper (1 shared paper)
- Journals
- Euphytica (7 papers)Scientia Horticulturae (1 paper)Weed Research (1 paper)Statistica Neerlandica (3 papers)Socio-Environmental Systems Modeling (1 paper)
- Partner nations
- NetherlandsVietnamBelgium
In The Last Decade
M. Keuls
11 papers receiving 557 citations
M. Keuls's Hit Papers
Peers
Comparison fields: 5 of 146
- Statistics and Probability 103
- Plant Science 280
- Management Science and Operations Research 81
- Agronomy and Crop Science 57
- Horticulture 5
Countries citing papers authored by M. Keuls
This map shows the geographic impact of M. Keuls'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 M. Keuls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Keuls more than expected).
Fields of papers citing papers by M. Keuls
This network shows the impact of papers produced by M. Keuls. 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 M. Keuls. The network helps show where M. Keuls may publish in the future.
Co-authors
The 5 scholars most cited alongside M. Keuls, 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 | The use of the „studentized range” in connection with an analysis of variance Hit paper breakdown → | 1952 | 519 |
| 2 | 1978 | 46 | |
| 3 | 1982 | 40 | |
| 4 | 1977 | 27 | |
| 5 | 1963 | 17 | |
| 6 | 1955 | 9 | |
| 7 | 1986 | 9 | |
| 8 | 1984 | 6 | |
| 9 | 1967 | 2 | |
| 10 | Analysis of variance | 1983 | 2 |
| 11 | 1960 | 1 | |
| 12 | 1954 | 1 | |
| 13 | 1962 | 0 |
About M. Keuls
M. Keuls is a scholar working on Plant Science, Genetics, Nature and Landscape Conservation, Pollution and Animal Science and Zoology, having authored 13 papers that have together received 679 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (6 papers), Greenhouse Technology and Climate Control (3 papers), Leaf Properties and Growth Measurement (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Agricultural pest management studies (1 paper) and Plant Physiology and Cultivation Studies (1 paper). The work is most often cited by research in Statistics and Probability (103 citations), Plant Science (280 citations), Management Science and Operations Research (81 citations), Agronomy and Crop Science (57 citations) and Horticulture (5 citations). M. Keuls has collaborated with scholars based in Netherlands, Vietnam and Belgium. Frequent co-authors include Frida Garretsen, C.T. de Wit, Gert Rietveld, P. M. L. Tammes and Nicolaas H. Kuiper. Their work appears in journals such as Euphytica, Scientia Horticulturae, Weed Research, Statistica Neerlandica and Socio-Environmental Systems Modeling.
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.