M. G. Kenward
- Statistics and Probability top 0.5%
- Pediatrics, Perinatology and Child Health top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- General Health Professions top 10%
- Co-authors
- James R. CarpenterGeert MolenberghsGeert VerbekeAnastasios A. TsiatisGarrett M. FitzmauriceEmmanuel LesaffreHerbert ThijsGraham A.R. Johnston
- Topics
- Statistical Methods and Bayesian Inference (7 papers)Diabetes and associated disorders (5 papers)Diabetes Management and Research (4 papers)
- Partner nations
- United KingdomFinlandBelgium
In The Last Decade
M. G. Kenward
26 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Statistics and Probability 531
- Pediatrics, Perinatology and Child Health 187
- Artificial Intelligence 139
- Economics and Econometrics 130
- General Health Professions 111
Countries citing papers authored by M. G. Kenward
This map shows the geographic impact of M. G. Kenward'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. G. Kenward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. G. Kenward more than expected).
Fields of papers citing papers by M. G. Kenward
This network shows the impact of papers produced by M. G. Kenward. 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. G. Kenward. The network helps show where M. G. Kenward may publish in the future.
Co-authorship network of co-authors of M. G. Kenward
This figure shows the co-authorship network connecting the top 25 collaborators of M. G. Kenward. A scholar is included among the top collaborators of M. G. Kenward 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 M. G. Kenward. M. G. Kenward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Missing data methodology: Introduction and preliminaries | 2 |
| 3 | Multiple Imputation for handling missing data in social research | 4 |
| 4 | 20 | |
| 5 | 33 | |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 38 | |
| 10 | 2 | |
| 11 | 49 | |
| 12 | 8 | |
| 13 | Multiple-bias modelling for analysis of observational data - Discussion | 5 |
| 14 | 12 | |
| 15 | 48 | |
| 16 | 141 | |
| 17 | 75 | |
| 18 | Changes in cancer incidence in North Karelia, an area with a comprehensive preventive cardiovascular programme. | 5 |
| 19 | 10 | |
| 20 | 8 |
About M. G. Kenward
M. G. Kenward is a scholar working on Statistics and Probability, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Diabetes and associated disorders (5 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Statistics and Probability (531 citations), Pediatrics, Perinatology and Child Health (187 citations) and Health (72 citations). M. G. Kenward has collaborated with scholars based in United Kingdom, Finland and Belgium. Frequent co-authors include James R. Carpenter, Geert Molenberghs, Geert Verbeke, Anastasios A. Tsiatis, Garrett M. Fitzmaurice, Emmanuel Lesaffre, Herbert Thijs, Graham A.R. Johnston, P. J. Shirley and P. Duncombe. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and British Journal of Cancer.
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.