Avery Smith
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
Papers in
- Surgery 4
- Case Reports on Hematomas 1
-
- Pneumothorax, Barotrauma, Emphysema 1
- Co-authors
- Adewole S. Adamson (1 shared paper)Pradeep Madhivathanan (1 shared paper)Carlos Corredor (1 shared paper)Joseph M. Guileyardo (6 shared papers)Carol A. Santa Ana (2 shared papers)John S. Fordtran (2 shared papers)Barry Cooper (1 shared paper)Eric R. Fenstad (1 shared paper)
- Journals
- JAMA Dermatology (1 paper)CHEST Journal (1 paper)Critical Care Medicine (1 paper)BJA Education (1 paper)Baylor University Medical Center Proceedings (5 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Avery Smith
8 papers receiving 382 citations
Avery Smith's Hit Papers
Peers
Comparison fields: 5 of 84
- Health Informatics 146
- Health Information Management 23
- Safety Research 36
- Oncology 99
- Artificial Intelligence 117
Countries citing papers authored by Avery Smith
This map shows the geographic impact of Avery 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 Avery Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avery Smith more than expected).
Fields of papers citing papers by Avery Smith
This network shows the impact of papers produced by Avery 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 Avery Smith. The network helps show where Avery Smith may publish in the future.
Co-authors
The 12 scholars most cited alongside Avery Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Machine Learning and Health Care Disparities in Dermatology Hit paper breakdown → | 2018 | 372 |
| 2 | 2020 | 14 | |
| 3 | 2018 | 10 | |
| 4 | 2016 | 3 | |
| 5 | 2016 | 2 | |
| 6 | 2019 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2016 | 0 | |
| 10 | 2018 | 0 | |
| 11 | A proactive approach. | 2000 | 0 |
| 12 | 2015 | 0 |
About Avery Smith
Avery Smith is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 12 papers that have together received 405 indexed citations. Recurring topics across this work include Pericarditis and Cardiac Tamponade (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Pneumothorax, Barotrauma, Emphysema (1 paper), Case Reports on Hematomas (1 paper), Liver Disease and Transplantation (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Health Informatics (146 citations), Health Information Management (23 citations), Safety Research (36 citations), Oncology (99 citations) and Artificial Intelligence (117 citations). Avery Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Adewole S. Adamson, Pradeep Madhivathanan, Carlos Corredor, Joseph M. Guileyardo, Carol A. Santa Ana, John S. Fordtran, Barry Cooper, Eric R. Fenstad, Deborah J. Levine and Srinath Chinnakotla. Their work appears in journals such as JAMA Dermatology, CHEST Journal, Critical Care Medicine, BJA Education and Baylor University Medical Center Proceedings.
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.