Jon Rasbash

6.5k citations
52 papers · 4.7k indexed · 1 hit paper · h-index 32

Jon Rasbash

52 papers receiving 4.2k citations

Hit Papers

Partitioning Variation in Multilevel Models6802002202620102018200400600

Peers

Jon Rasbash
Comparison fields: 5 of 190
  • Statistics and Probability 779
  • Health 488
  • Clinical Psychology 625
  • Demography 341
  • Education 770
Replace Ita G. G. Kreft with:
Ita G. G. Kreft United States
Jacques A. Hagenaars Netherlands
Ian Plewis United Kingdom
Cora J. M. Maas Netherlands
Peter Lynn United Kingdom
Linda K. Muthén United States
Edith D. de Leeuw Netherlands
Mirjam Moerbeek Netherlands
George Leckie United Kingdom
Paul T. von Hippel United States
Jon Rasbash relative to Ita G. G. Kreft United States Ita G. G. Kreft's profile →
Citations per field
00.5×1.5×2.0×
Ita G. G. Kreft · 1×
Citations per year

Countries citing papers authored by Jon Rasbash

Since Specialization
Citations

This map shows the geographic impact of Jon Rasbash'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 Jon Rasbash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Rasbash more than expected).

Fields of papers citing papers by Jon Rasbash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Rasbash. 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 Jon Rasbash. The network helps show where Jon Rasbash may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jon Rasbash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Rasbash Line = papers co-authored together Jon Rasbash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201216
2 201140
3 201139
4 2010129
5 201022
6 200634
7 200640
8 200531
9 2005147
10 200531
11 20044
12 2002124
13 200190
14 20001
15 200051
16 19996
17 199560
18 1994200
19 19884
20 1988142

About Jon Rasbash

Jon Rasbash is a scholar working on Statistics and Probability, Demography, Experimental and Cognitive Psychology, Management Science and Operations Research and Discrete Mathematics and Combinatorics, having authored 52 papers that have together received 4.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Cognitive Abilities and Testing (7 papers), Family Dynamics and Relationships (7 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers), Statistical Methods and Inference (6 papers), Intergenerational Family Dynamics and Caregiving (5 papers), School Choice and Performance (4 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics and Probability (779 citations), Health (488 citations), Clinical Psychology (625 citations), Demography (341 citations) and Education (770 citations). Jon Rasbash has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Harvey Goldstein, William J. Browne, Jennifer M. Jenkins, Thomas G. O’Connor, Desmond L. Nuttall, Judy Dunn, M. J. R. Healy, David Holmes, Danny Pfeffermann and Robert J. Prosser. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Computational Statistics & Data Analysis, Statistical Modelling, Statistics in Medicine and Developmental Psychology.

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.

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