Michael Schomaker

4.5k citations
89 papers · 2.6k · 1 hit paper · h-index 26

Impact in

    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 2%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 19
    • HIV/AIDS drug development and treatment 8
    • Tuberculosis Research and Epidemiology 4
    • Advanced Causal Inference Techniques 9
    • Statistical Methods and Inference 8
    • Statistical Methods and Bayesian Inference 6

Michael Schomaker

81 papers receiving 2.5k citations

Michael Schomaker's Hit Papers

Bootstrap inference when using multiple imputation 2018 · 288 citations
2880+2+5Years since publication50100150200250

Peers

Michael Schomaker
Comparison fields: 5 of 179
  • Infectious Diseases 1.0k
  • Virology 213
  • Statistics and Probability 305
  • Emergency Medicine 172
  • Epidemiology 298
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Jane C. Lindsey United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Schomaker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schomaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013318
2
Bootstrap inference when using multiple imputation
Hit paper breakdown →
2018288
3 2016192
4 2012189
5 2013172
6 2014106
7 201894
8 201382
9 201772
10 201753
11 201252
12 200948
13 201347
14 201646
15 201433
16 201933
17 201531
18 201531
19 201329
20 201829

About Michael Schomaker

Michael Schomaker is a scholar working on Infectious Diseases, Statistics and Probability, Virology, Economics and Econometrics and Epidemiology, having authored 89 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (19 papers), Advanced Causal Inference Techniques (9 papers), HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (8 papers), Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Virology (213 citations), Statistics and Probability (305 citations), Emergency Medicine (172 citations) and Epidemiology (298 citations). Michael Schomaker has collaborated with scholars based in South Africa, United States and Germany. Frequent co-authors include Christian Heumann, Andrew Boulle, Matthias Egger, Miguel Ángel Luque-Fernández, Hans Prozesky, Robin Wood, Morna Cornell, Leigh F. Johnson, Matthew P. Fox and Christopher J. Hoffmann. Their work appears in journals such as Journal of the International AIDS Society, Statistics in Medicine, Tropical Medicine & International Health, JAIDS Journal of Acquired Immune Deficiency Syndromes and PLoS Medicine.

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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