Gilbert MacKenzie

2.0k citations
90 papers · 1.5k · h-index 20

Impact in

Papers in

Gilbert MacKenzie

80 papers receiving 1.3k citations

Peers

Gilbert MacKenzie
Comparison fields: 5 of 162
  • Statistics and Probability 229
  • Endocrine and Autonomic Systems 124
  • Emergency Medicine 105
  • Ophthalmology 99
  • Cardiology and Cardiovascular Medicine 175
Replace Sergey Tarima with:
Sergey Tarima United States
Earl L. Diamond United States
Kouhei Akazawa Japan
Ari Gnanasakthy United States
Radha Gopalan United States
Matheos Yosef United States
Gary Stevens United States
Yuan‐I Min United States
Chris McCabe United Kingdom
Gilbert MacKenzie relative to Sergey Tarima United States Sergey Tarima's profile →
Citations per field
00.5×6.2×
Sergey Tarima · 1×
Citations per year

Countries citing papers authored by Gilbert MacKenzie

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert MacKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971148
2 1982134
3 1988108
4 199666
5 198359
6 201455
7 200345
8 198442
9 198540
10 201139
11 198539
12 200938
13 200733
14 200030
15 200630
16 199829
17 198427
18 201127
19 198824
20 197320

About Gilbert MacKenzie

Gilbert MacKenzie is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Artificial Intelligence, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Statistical Methods and Bayesian Inference (18 papers), Cardiac electrophysiology and arrhythmias (8 papers), Genetic and phenotypic traits in livestock (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Statistical Distribution Estimation and Applications (4 papers) and Health disparities and outcomes (4 papers). The work is most often cited by research in Statistics and Probability (229 citations), Endocrine and Autonomic Systems (124 citations), Emergency Medicine (105 citations), Ophthalmology (99 citations) and Cardiology and Cardiovascular Medicine (175 citations). Gilbert MacKenzie has collaborated with scholars based in United Kingdom, Ireland and France. Frequent co-authors include P. Froggatt, J. D. Kalbfleisch, Ken Fullerton, R. W. Stout, Usha Chakravarthy, A.A.J. Adgey, Jianxin Pan, Jannette Elwood, Il Do Ha and A.A.J. Adgey. Their work appears in journals such as Statistics in Medicine, Journal of Epidemiology & Community Health, Statistical Modelling, International Journal of Epidemiology and Heart.

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.

Explore authors with similar magnitude of impact