Michael Spratt

7.8k citations
5 papers · 5.6k indexed · 1 hit paper · h-index 5

Impact in

Papers in

Michael Spratt

5 papers receiving 5.5k citations

Hit Papers

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls 2009 · 5.0k citations
5.0k200920262014202010002.0k3.0k4.0k5.0k

Peers

Michael Spratt
Comparison fields: 5 of 184
  • Statistics and Probability 416
  • Health 373
  • Obstetrics and Gynecology 290
  • Public Health, Environmental and Occupational Health 951
  • Pediatrics, Perinatology and Child Health 632
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Bruce Levin United States
Mark S. Gilthorpe United Kingdom
Katie Harron United Kingdom
Theis Lange Denmark
Antonio Ciampi Canada
Mirjam J. Knol Netherlands
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Krishnan Bhaskaran United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michael Spratt

Since Specialization
Citations

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

Fields of papers citing papers by Michael Spratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Michael Spratt, 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 Michael Spratt Line = papers co-authored together Michael Spratt links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Michael Spratt

Michael Spratt is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Health, Clinical Psychology and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 5.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Statistical Methods in Epidemiology (1 paper), Reliability and Agreement in Measurement (1 paper), Statistical Methods and Inference (1 paper), Statistical Methods in Clinical Trials (1 paper), Migration, Health and Trauma (1 paper), Family Caregiving in Mental Illness (1 paper) and Survey Methodology and Nonresponse (1 paper). The work is most often cited by research in Statistics and Probability (416 citations), Health (373 citations), Obstetrics and Gynecology (290 citations), Public Health, Environmental and Occupational Health (951 citations) and Pediatrics, Perinatology and Child Health (632 citations). Michael Spratt has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include James R. Carpenter, Jonathan A C Sterne, John B. Carlin, Patrick Royston, Michael G. Kenward, Angela Wood, Ian R. White, Kate Tilling, Jon Heron and John Yarnell. Their work appears in journals such as Hypertension, Journal of Clinical Epidemiology, Journal of Neuropsychiatry, American Journal of Epidemiology and BMJ.

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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