Mike Kenward

452 citations
14 papers · 326 · h-index 9

Impact in

Papers in

Mike Kenward

11 papers receiving 310 citations

Peers

Mike Kenward
Comparison fields: 5 of 70
  • Obstetrics and Gynecology 69
  • Public Health, Environmental and Occupational Health 187
  • Pharmacy 26
  • Pediatrics, Perinatology and Child Health 71
  • Statistics and Probability 21
Replace Fatemeh Hosseini with:
Fatemeh Hosseini Iran
Hugo Martínez‐Rojano Mexico
Sumudu Nimali Seneviratne Sri Lanka
Ashok M Mehendale India
Yanina Sguassero Argentina
Alessandra Consales Italy
A. Pinol Switzerland
Amy L. Lovell New Zealand
Carolina Santos Mello Brazil
Deborah Marino United States
Mike Kenward relative to Fatemeh Hosseini Iran Fatemeh Hosseini's profile →
Citations per field
00.5×6.5×
Fatemeh Hosseini · 1×
Citations per year

Countries citing papers authored by Mike Kenward

Since Specialization
Citations

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

Fields of papers citing papers by Mike Kenward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mike Kenward, 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 Mike Kenward Line = papers co-authored together Mike Kenward links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200188
2 200978
3 201241
4 200423
5 200921
6 200820
7 200819
8 201018
9 200015
10
Exploring the Impact of Missing Data in Multiple Regression
20151
11 20051
12 20111
13
Discussion of two important missing data issues
20040
14 19960

About Mike Kenward

Mike Kenward is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 326 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (6 papers), Pancreatic function and diabetes (2 papers), Obesity, Physical Activity, Diet (2 papers), Gestational Diabetes Research and Management (2 papers), Advanced Causal Inference Techniques (2 papers), Diabetes and associated disorders (2 papers) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Obstetrics and Gynecology (69 citations), Public Health, Environmental and Occupational Health (187 citations), Pharmacy (26 citations), Pediatrics, Perinatology and Child Health (71 citations) and Statistics and Probability (21 citations). Mike Kenward has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Sean Hewitt, Naeem Durrani, Mark Rowland, Nasir Mohammed, Riitta Veijola, Ulla Uusitalo, Suvi Μ. Virtanen, Mikael Knip, Marja‐Leena Ovaskainen and Carina Kronberg‐Kippilä. Their work appears in journals such as Public Health Nutrition, BMJ Open, Pediatric Diabetes, Pharmaceutical Statistics and American Journal of Clinical Nutrition.

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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