Ken Getz

406 citations
20 papers · 234 indexed · h-index 9

Impact in

Papers in

Ken Getz

18 papers receiving 217 citations

Peers

Ken Getz
Comparison fields: 5 of 84
  • Health Informatics 25
  • Public Health, Environmental and Occupational Health 84
  • Computational Theory and Mathematics 43
  • Health Information Management 12
  • Statistics, Probability and Uncertainty 18
Replace Scott Askin with:
Scott Askin Switzerland
Hui–Hsing Wong United States
G. Caleb Alexander United States
Hanzhe Zhang China
Jonas Häggström Canada
Nigel Hughes United Kingdom
Eugenia McPeek Hinz United States
Arturo López Pineda United States
Brian McCourt United States
Zhiheng Xu United States
Ken Getz relative to Scott Askin Switzerland Scott Askin's profile →
Citations per field
00.5×3.6×
Scott Askin · 1×
Citations per year

Countries citing papers authored by Ken Getz

Since Specialization
Citations

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

Fields of papers citing papers by Ken Getz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ken Getz, 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 Ken Getz Line = papers co-authored together Ken Getz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201987
2 200623
3 201220
4 201818
5 201814
6 201313
7 201813
8 201910
9 20249
10 20198
11
VBA Developer's Handbook
20015
12 19974
13 20073
14
Access 97 developer's handbook
19972
15
Access 2002 Enterprise Developer's Handbook
20012
16 20201
17 20211
18
Microsoft Access 95 developer's handbook
19941
19
Microsoft Access 2 Developer's Handbook
19940
20 20200

About Ken Getz

Ken Getz is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics, Pharmacology, Statistics and Probability and General Health Professions, having authored 20 papers that have together received 234 indexed citations. Recurring topics across this work include Ethics in Clinical Research (8 papers), Health and Medical Research Impacts (4 papers), Pharmaceutical industry and healthcare (4 papers), Pharmaceutical Economics and Policy (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods in Clinical Trials (3 papers), Meta-analysis and systematic reviews (2 papers) and Biomedical and Engineering Education (2 papers). The work is most often cited by research in Health Informatics (25 citations), Public Health, Environmental and Occupational Health (84 citations), Computational Theory and Mathematics (43 citations), Health Information Management (12 citations) and Statistics, Probability and Uncertainty (18 citations). Ken Getz has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Michael Wilkinson, R. Wilkins, Bruce A. Donzanti, Jeanne L. Speckman, Margaret M. Byrne, Jeremy Sugarman, Deborah Howe, Cindy Brothers, Richard W. Young and Craig Morgan. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Clinical Therapeutics, Academic Medicine, Expert Review of Clinical Pharmacology and Drug Information Journal.

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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