Maarten Cruyff
- Statistics and Probability top 1%
- Sociology and Political Science top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Artificial Intelligence
- Co-authors
- P.G.M. van der HeijdenHans C. van HouwelingenDenis RibeaudJosine Junger-TasUlf BöckenholtArdo van den HoutRami BustamiGodfríed Engbersen
- Topics
- Survey Sampling and Estimation Techniques (16 papers)Census and Population Estimation (15 papers)Statistical Methods and Bayesian Inference (8 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Maarten Cruyff
34 papers receiving 550 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 286
- Sociology and Political Science 191
- Epidemiology 187
- Endocrinology, Diabetes and Metabolism 80
- Artificial Intelligence 76
Countries citing papers authored by Maarten Cruyff
This map shows the geographic impact of Maarten Cruyff'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 Maarten Cruyff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Cruyff more than expected).
Fields of papers citing papers by Maarten Cruyff
This network shows the impact of papers produced by Maarten Cruyff. 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 Maarten Cruyff. The network helps show where Maarten Cruyff may publish in the future.
Co-authorship network of co-authors of Maarten Cruyff
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Cruyff. A scholar is included among the top collaborators of Maarten Cruyff 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 Maarten Cruyff. Maarten Cruyff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 52 | |
| 8 | 13 | |
| 9 | 49 | |
| 10 | 1 | |
| 11 | Wider applications for dual and multiple system estimation | 0 |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 23 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | A log-lineair randomized-response model to account for cheating. | 1 |
| 20 | 70 |
About Maarten Cruyff
Maarten Cruyff is a scholar working on Statistics and Probability, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 586 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (16 papers), Census and Population Estimation (15 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (286 citations), Epidemiology (187 citations) and Endocrinology, Diabetes and Metabolism (80 citations). Maarten Cruyff has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include P.G.M. van der Heijden, Hans C. van Houwelingen, Denis Ribeaud, Josine Junger-Tas, Ulf Böckenholt, Ardo van den Hout, Rami Bustami, Godfríed Engbersen, Andrea Petróczi and Olivier de Hon. Their work appears in journals such as PLoS ONE, Conservation Biology and Sports Medicine.
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.