Kali Barrett
Impact in
- Emergency Medicine top 5%
- Cardiac Arrest and Resuscitation
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 4
- Surgery 3
- Transplantation: Methods and Outcomes 3
- Co-authors
- Beate Sander (11 shared papers)David Naimark (8 shared papers)Stephen Mac (7 shared papers)Raphael Ximenes (7 shared papers)Yasín A. Khan (7 shared papers)Ruxandra Pinto (3 shared papers)Damon C. Scales (4 shared papers)Neil Hawkins (1 shared paper)
- Journals
- Critical Care (2 papers)The Journal of Heart and Lung Transplantation (2 papers)Critical Care Medicine (2 papers)Intensive Care Medicine (2 papers)BMJ Open (1 paper)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Kali Barrett
19 papers receiving 323 citations
Peers
Comparison fields: 5 of 53
- Emergency Medicine 80
- Modeling and Simulation 36
- Critical Care and Intensive Care Medicine 16
- Transplantation 7
- Emergency Medical Services 13
Countries citing papers authored by Kali Barrett
This map shows the geographic impact of Kali Barrett'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 Kali Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kali Barrett more than expected).
Fields of papers citing papers by Kali Barrett
This network shows the impact of papers produced by Kali Barrett. 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 Kali Barrett. The network helps show where Kali Barrett may publish in the future.
Co-authors
The 25 scholars most cited alongside Kali Barrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 70 | |
| 2 | 2020 | 68 | |
| 3 | 2009 | 32 | |
| 4 | 2012 | 30 | |
| 5 | 2018 | 26 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Kali Barrett
Kali Barrett is a scholar working on Modeling and Simulation, Surgery, Epidemiology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 21 papers that have together received 325 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Transplantation: Methods and Outcomes (3 papers), Sepsis Diagnosis and Treatment (3 papers), COVID-19 and healthcare impacts (2 papers), Cardiac Arrest and Resuscitation (2 papers), Tuberculosis Research and Epidemiology (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Emergency Medicine (80 citations), Modeling and Simulation (36 citations), Critical Care and Intensive Care Medicine (16 citations), Transplantation (7 citations) and Emergency Medical Services (13 citations). Kali Barrett has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Beate Sander, David Naimark, Stephen Mac, Raphael Ximenes, Yasín A. Khan, Ruxandra Pinto, Damon C. Scales, Neil Hawkins, Draga Jichici and Aziz S. Alali. Their work appears in journals such as Critical Care, The Journal of Heart and Lung Transplantation, Critical Care Medicine, Intensive Care Medicine and BMJ Open.
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.