Brian Gow

17 papers receiving 1.4k citations

Brian Gow's Hit Papers

MIMIC-IV, a freely accessible electronic health record dataset 2023 · 1.1k citations
1.1k0+1+2Years since publication2505007501000

Peers

Brian Gow
Comparison fields: 5 of 129
  • Health Informatics 94
  • Physical Therapy, Sports Therapy and Rehabilitation 182
  • Critical Care and Intensive Care Medicine 154
  • Health Information Management 106
  • Nephrology 153
Replace Paula Dhiman with:
Paula Dhiman United Kingdom
Clinton A. Brawner United States
Ulf Ekelund Sweden
Rema Ramakrishnan United Kingdom
Lucinda Archer United Kingdom
Thalia S. Field Canada
Rose Wharton United Kingdom
Jonathan K. Ehrman United States
Andrew M. Naidech United States
Brian Gow relative to Paula Dhiman United Kingdom Paula Dhiman's profile →
Citations per field
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Paula Dhiman · 1×
Citations per year

Countries citing papers authored by Brian Gow

Since Specialization
Citations

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

Fields of papers citing papers by Brian Gow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
MIMIC-IV, a freely accessible electronic health record dataset
Hit paper breakdown →
20231072
2 201577
3 201467
4 201858
5 201544
6 201527
7 201920
8 201718
9 202114
10 201811
11 201910
12 201210
13 20128
14 20235
15 20141
16 20171
17 20191
18 20240

About Brian Gow

Brian Gow is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Psychiatry and Mental health, Complementary and alternative medicine, Rehabilitation and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (8 papers), Cerebral Palsy and Movement Disorders (6 papers), Stroke Rehabilitation and Recovery (4 papers), Musculoskeletal pain and rehabilitation (2 papers), Mental Health Research Topics (2 papers), Neuroscience and Neural Engineering (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Health Informatics (94 citations), Physical Therapy, Sports Therapy and Rehabilitation (182 citations), Critical Care and Intensive Care Medicine (154 citations), Health Information Management (106 citations) and Nephrology (153 citations). Brian Gow has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Sicheng Hao, Lucas Bulgarelli, Roger G. Mark, Steven Horng, Ayad Shammout, Li-wei H. Lehman, Benjamin Moody, Leo Anthony Celi, Tom Pollard and Alistair E. W. Johnson. Their work appears in journals such as The Journal of Alternative and Complementary Medicine, PLoS ONE, Global Advances in Health and Medicine, Archives of Physical Medicine and Rehabilitation and Scientific Reports.

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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