Michael K. Smith

983 citations
31 papers · 551 indexed · h-index 11

Impact in

Papers in

Michael K. Smith

27 papers receiving 513 citations

Peers

Michael K. Smith
Comparison fields: 5 of 137
  • Statistics and Probability 170
  • Statistics, Probability and Uncertainty 65
  • Management Science and Operations Research 78
  • Pharmacology 53
  • Psychiatry and Mental health 63
Replace Joakim Nyberg with:
Joakim Nyberg Sweden
R L Lalonde United States
Sandrine Micallef France
Kenneth G. Kowalski United States
Graham Wheeler United Kingdom
Brigitte Bloechl‐Daum Austria
Valérie Cosson Switzerland
Anup Amatya United States
Diane Potvin United States
Adeniyi J. Adewale United States
Michael K. Smith relative to Joakim Nyberg Sweden Joakim Nyberg's profile →
Citations per field
00.5×5.3×
Joakim Nyberg · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013152
2 199157
3 200053
4 200749
5 201139
6 200637
7 201833
8 201122
9 201022
10 200616
11 201814
12 20079
13
Community Forums: A Unique Approach to Community Service-Learning
20117
14 20176
15 20035
16 20184
17 20184
18 19814
19 20154
20 19913

About Michael K. Smith

Michael K. Smith is a scholar working on Statistics and Probability, Management Science and Operations Research, Oncology, Artificial Intelligence and Economics and Econometrics, having authored 31 papers that have together received 551 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Optimal Experimental Design Methods (3 papers), Computational Drug Discovery Methods (2 papers), Statistical Methods and Bayesian Inference (2 papers), Analytical Chemistry and Chromatography (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Statistics and Probability (170 citations), Statistics, Probability and Uncertainty (65 citations), Management Science and Operations Research (78 citations), Pharmacology (53 citations) and Psychiatry and Mental health (63 citations). Michael K. Smith has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Karl E. Peace, Andrew P. Grieve, P Chan, Ana Ruiz-Garcı́a, Kevin Sweeney, Jing Dong, Carol Cronenberger, Steve Riley, Haiqing Dai and Wonkyung Byon. Their work appears in journals such as Pharmaceutical Statistics, CPT Pharmacometrics & Systems Pharmacology, Phi Delta Kappan, British Journal of Clinical Pharmacology and Journal of Thoracic Oncology.

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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