Cora J. M. Maas
- Applied Psychology top 1%
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 5
- Advanced Causal Inference Techniques 4
- Statistical Methods in Clinical Trials 4
- Social Psychology top 1%
- Clinical Psychology top 2%
- Child and Adolescent Psychosocial and Emotional Development 4
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- Workplace Health and Well-being 5
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- Family Support in Illness 4
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- Family Dynamics and Relationships 4
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- Early Childhood Education and Development 4
- Co-authors
- Joop J. HoxGerty Lensvelt‐MuldersP.G.M. van der HeijdenTom A. B. SnijdersL. TaalNancy E. E. Van LoeyA.W. FaberMarjolijn J. Sorbi
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Cora J. M. Maas
39 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Applied Psychology 398
- Statistics and Probability 628
- Experimental and Cognitive Psychology 754
- Social Psychology 1.1k
- Clinical Psychology 993
Countries citing papers authored by Cora J. M. Maas
This map shows the geographic impact of Cora J. M. Maas'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 Cora J. M. Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cora J. M. Maas more than expected).
Fields of papers citing papers by Cora J. M. Maas
This network shows the impact of papers produced by Cora J. M. Maas. 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 Cora J. M. Maas. The network helps show where Cora J. M. Maas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cora J. M. Maas, 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 | 2011 | 11 | |
| 2 | 2008 | 25 | |
| 3 | 2007 | 29 | |
| 4 | 2006 | 13 | |
| 5 | 2005 | 51 | |
| 6 | 2005 | 36 | |
| 7 | 2005 | 22 | |
| 8 | 2005 | 281 | |
| 9 | Sufficient Sample Sizes for Multilevel Modelingbreakdown → | 2005 | 2632 |
| 10 | 2005 | 48 | |
| 11 | Editorial introduction to special issue on "Multilevel and other types of random coefficients models" | 2004 | 1 |
| 12 | 2004 | 50 | |
| 13 | 2004 | 17 | |
| 14 | 2004 | 28 | |
| 15 | 2003 | 147 | |
| 16 | 2003 | 291 | |
| 17 | 2001 | 58 | |
| 18 | 2000 | 76 | |
| 19 | Life Experiences, Identity and Adolescent Soft Drug Use in the Netherlands. | 1999 | 3 |
| 20 | Leerkrachten, probleemleerlingen en ouders. Een verklaringsmodel voor de tijd- en aandachtverdeling van de leerkracht en de invloed van ouders | 1990 | 0 |
About Cora J. M. Maas
Cora J. M. Maas is a scholar working on Statistics and Probability, Clinical Psychology and Social Psychology, having authored 40 papers that have together received 5.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Workplace Health and Well-being (5 papers), Family Support in Illness (4 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Advanced Causal Inference Techniques (4 papers), Statistical Methods in Clinical Trials (4 papers), Family Dynamics and Relationships (4 papers) and Early Childhood Education and Development (4 papers). The work is most often cited by research in Applied Psychology (398 citations), Statistics and Probability (628 citations) and Experimental and Cognitive Psychology (754 citations). Cora J. M. Maas has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Joop J. Hox, Gerty Lensvelt‐Mulders, P.G.M. van der Heijden, Tom A. B. Snijders, L. Taal, Nancy E. E. Van Loey, A.W. Faber, Marjolijn J. Sorbi, Eamonn K. S. Hanson and Eline Lindeman. Their work appears in journals such as Diabetes Care, Stroke and Journal of Psychosomatic Research.
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.