Michael K. Smith

983 total citations
31 papers, 551 citations indexed

About

Michael K. Smith is a scholar working on Statistics and Probability, Management Science and Operations Research and Oncology. According to data from OpenAlex, Michael K. Smith has authored 31 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Management Science and Operations Research and 4 papers in Oncology. Recurrent topics in Michael K. Smith's work include Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Optimal Experimental Design Methods (3 papers). Michael K. Smith is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Optimal Experimental Design Methods (3 papers). Michael K. Smith collaborates with scholars based in United States, United Kingdom and Switzerland. Michael K. Smith's co-authors include Karl E. Peace, Andrew P. Grieve, P Chan, Kevin Sweeney, Jing Dong, Carol Cronenberger, Steve Riley, Haiqing Dai, Wonkyung Byon and Ana Ruiz-Garcı́a and has published in prestigious journals such as European Journal of Cancer, Journal of Statistical Software and British Journal of Clinical Pharmacology.

In The Last Decade

Michael K. Smith

27 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael K. Smith United States 11 170 85 78 65 63 31 551
Graham Wheeler United Kingdom 10 278 1.6× 164 1.9× 109 1.4× 80 1.2× 29 0.5× 31 847
R L Lalonde United States 8 226 1.3× 139 1.6× 26 0.3× 23 0.4× 22 0.3× 10 668
Joakim Nyberg Sweden 13 191 1.1× 37 0.4× 85 1.1× 19 0.3× 12 0.2× 45 570
Kenneth G. Kowalski United States 11 159 0.9× 56 0.7× 28 0.4× 9 0.1× 37 0.6× 24 526
Sandrine Micallef France 10 292 1.7× 111 1.3× 32 0.4× 47 0.7× 15 0.2× 24 678
Sandro Gsteiger Switzerland 13 348 2.0× 136 1.6× 98 1.3× 64 1.0× 13 0.2× 26 654
Lu Cui United States 15 538 3.2× 170 2.0× 314 4.0× 110 1.7× 36 0.6× 40 958
Jonathan Denne United States 15 401 2.4× 91 1.1× 149 1.9× 57 0.9× 560 8.9× 30 1.3k
Anup Amatya United States 15 150 0.9× 57 0.7× 18 0.2× 60 0.9× 20 0.3× 49 698
Brigitte Bloechl‐Daum Austria 8 116 0.7× 294 3.5× 14 0.2× 28 0.4× 30 0.5× 8 939

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-authorship network of co-authors of Michael K. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Smith. A scholar is included among the top collaborators of Michael K. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael K. Smith. Michael K. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smith, Michael K.. (2022). Reflecting on Andy Grieve's influence and innovation: A personal perspective. Pharmaceutical Statistics. 21(4). 702–705.
2.
Owen, Dwight H., Lai Wei, Mikhail M. Dikov, et al.. (2022). 585 Phase 1 dose escalation trial of the selective A2B adenosine receptor antagonist PBF-1129 in patients with metastatic non-small cell lung cancer (mNSCLC). Regular and Young Investigator Award Abstracts. A612–A612. 1 indexed citations
3.
Smith, Michael K., Kaori Ito, E. Niclas Jonsson, et al.. (2018). PharmTeX: a LaTeX-Based Open-Source Platform for Automated Reporting Workflow. The AAPS Journal. 20(3). 52–52. 4 indexed citations
4.
Hill, Jordan, et al.. (2018). Safety of dose-reduced pemetrexed in patients with renal insufficiency. Journal of Oncology Pharmacy Practice. 25(5). 1125–1129. 4 indexed citations
5.
Mukherjee, Arnab, Anasuya Hazra, Michael K. Smith, et al.. (2018). Exposure–response characterization of tofacitinib efficacy in moderate to severe ulcerative colitis: Results from a dose‐ranging phase 2 trial. British Journal of Clinical Pharmacology. 84(6). 1136–1145. 33 indexed citations
6.
Larizza, Cristiana, et al.. (2018). Complex Bayesian Modeling Workflows Encoding and Execution Made Easy With a Novel WinBUGS Plugin of the Drug Disease Model Resources Interoperability Framework. CPT Pharmacometrics & Systems Pharmacology. 7(5). 298–308. 1 indexed citations
7.
Wilkins, Justin, P Chan, Michael K. Smith, et al.. (2017). Thoughtflow: Standards and Tools for Provenance Capture and Workflow Definition to Support Model‐Informed Drug Discovery and Development. CPT Pharmacometrics & Systems Pharmacology. 6(5). 285–292. 6 indexed citations
8.
Byon, Wonkyung, Michael K. Smith, P Chan, et al.. (2013). Establishing Best Practices and Guidance in Population Modeling: An Experience With an Internal Population Pharmacokinetic Analysis Guidance. CPT Pharmacometrics & Systems Pharmacology. 2(7). 1–8. 152 indexed citations
9.
Smith, Michael K., et al.. (2011). Community Forums: A Unique Approach to Community Service-Learning. Canadian Journal of Education / Revue canadienne de l éducation. 34(1). 282–307. 7 indexed citations
11.
Smith, Michael K. & Andrea Marshall. (2010). Importance of protocols for simulation studies in clinical drug development. Statistical Methods in Medical Research. 20(6). 613–622. 22 indexed citations
12.
Whitehead, Anne, John Whitehead, Susan Todd, Yinghui Zhou, & Michael K. Smith. (2007). Fitting models for the joint action of two drugs using SAS(R). Pharmaceutical Statistics. 7(4). 272–284. 9 indexed citations
13.
Smith, Michael K., Ieuan Jones, Mark Morris, Andrew P. Grieve, & Keith Tan. (2006). Implementation of a Bayesian adaptive design in a proof of concept study. Pharmaceutical Statistics. 5(1). 39–50. 37 indexed citations
14.
Smith, Michael K. & Scott Marshall. (2006). A Bayesian Design and Analysis for Dose-Response Using Informative Prior Information. Journal of Biopharmaceutical Statistics. 16(5). 695–709. 16 indexed citations
15.
Miceli, J., et al.. (2000). The effects of ketoconazole on ziprasidone pharmacokinetics —a placebo‐controlled crossover study in healthy volunteers. British Journal of Clinical Pharmacology. 49(S1). 71–76. 53 indexed citations
16.
Smith, Michael K.. (1994). Repugnant Is to Aversion: A Look at ETX and the New SAT I.. Phi Delta Kappan. 75(10). 752. 1 indexed citations
17.
Smith, Michael K. & Karl E. Peace. (1991). Statistical Issues in Drug Research and Development.. Journal of the Royal Statistical Society Series C (Applied Statistics). 40(1). 185–185. 57 indexed citations
18.
Smith, Michael K., et al.. (1981). A verified encrypted packet interface. ACM SIGSOFT Software Engineering Notes. 6(3). 13–16. 4 indexed citations
19.
Smith, Michael K., et al.. (1981). A verified encrypted packet interface. ACM SIGSOFT Software Engineering Notes. 6(3). 13–16. 1 indexed citations
20.
Smith, Michael K.. (1981). Knowledge-based contextual reference resolution for text understanding.

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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