Michael K. Smith

24 papers receiving 520 citations

Peers

Michael K. Smith
Comparison fields: 5 of 126
  • Statistics and Probability 204
  • Management Science and Operations Research 104
  • Statistics, Probability and Uncertainty 54
  • Pharmacology 42
  • Psychiatry and Mental health 51
Replace Joakim Nyberg with:
Joakim Nyberg Sweden
Elodie L. Plan Sweden
Graham Wheeler United Kingdom
Kenneth G. Kowalski United States
Sandrine Micallef France
R L Lalonde United States
Matthew M. Hutmacher United States
H. Amy Xia United States
Jonathan Denne United States
Satrajit Roychoudhury United States
Michael K. Smith relative to Joakim Nyberg Sweden Joakim Nyberg's profile →
Citations per field
00.5×4.3×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013156
2 200290
3 199157
4 200054
5 200750
6 200640
7 201125
8 200617
9 201814
10 200710
11 20177
12 19817
13
Community Forums: A Unique Approach to Community Service-Learning
20117
14 20036
15 20185
16 19913
17 20073
18 20112
19 20212
20 20222

About Michael K. Smith

Michael K. Smith is a scholar working on Statistics and Probability, Management Science and Operations Research, Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 563 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Optimal Experimental Design Methods (4 papers), Network Packet Processing and Optimization (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods and Bayesian Inference (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Online and Blended Learning (1 paper). The work is most often cited by research in Statistics and Probability (204 citations), Management Science and Operations Research (104 citations), Statistics, Probability and Uncertainty (54 citations), Pharmacology (42 citations) and Psychiatry and Mental health (51 citations). Michael K. Smith has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Karl E. Peace, Michael Krams, Peter Müller, Ana Ruiz-Garcı́a, Wonkyung Byon, Haiqing Dai, Jing Dong, P Chan, Carol Cronenberger and Steve Riley. Their work appears in journals such as Pharmaceutical Statistics, Phi Delta Kappan, CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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