Michael K. Smith

831 citations
29 papers · 628 · h-index 11

Impact in

Papers in

Michael K. Smith

27 papers receiving 569 citations

Peers

Michael K. Smith
Comparison fields: 5 of 101
  • Statistics and Probability 234
  • Pediatrics, Perinatology and Child Health 114
  • Pharmacology 53
  • Pharmacology 42
  • Psychiatry and Mental health 48
Replace Daniela J. Conrado with:
Daniela J. Conrado United States
Kenneth G. Kowalski United States
Lutz O. Harnisch United States
PLS Chan United Kingdom
Jonathan P. R. Monteleone United States
Virginie Hivert France
Kristin E. Karlsson Sweden
Robyn R. Lim Canada
Shunsuke Ono Japan
JL Steimer Switzerland
Michael K. Smith relative to Daniela J. Conrado United States Daniela J. Conrado's profile →
Citations per field
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Daniela J. Conrado · 1×
Citations per year

Countries citing papers authored by Michael K. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013162
2 200291
3 199162
4 200056
5 200749
6 200640
7 201127
8 201527
9 200219
10 200617
11 201816
12 200710
13 20078
14
Community Forums: A Unique Approach to Community Service-Learning
20117
15 19816
16 20036
17 20176
18 20185
19 20073
20 19912

About Michael K. Smith

Michael K. Smith is a scholar working on Statistics and Probability, Information Systems and Management, Pediatrics, Perinatology and Child Health, Management Science and Operations Research and Education, having authored 29 papers that have together received 628 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Pharmaceutical studies and practices (3 papers), Educational Assessment and Pedagogy (3 papers), Statistical Methods and Bayesian Inference (3 papers), SAS software applications and methods (2 papers), Scientific Computing and Data Management (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Teacher Education and Assessments (2 papers). The work is most often cited by research in Statistics and Probability (234 citations), Pediatrics, Perinatology and Child Health (114 citations), Pharmacology (53 citations), Pharmacology (42 citations) and Psychiatry and Mental health (48 citations). Michael K. Smith has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Karl E. Peace, Peter Müller, Donald A. Berry, Michael Krams, Andrew P. Grieve, PLS Chan, Jing Dong, Wonkyung Byon, Haiqing Isaac Dai and Carol Cronenberger. Their work appears in journals such as Pharmaceutical Statistics, CPT Pharmacometrics & Systems Pharmacology, Phi Delta Kappan, Journal of the American Geriatrics Society and The Journal of Creative Behavior.

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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