Avery Smith

631 citations
11 papers · 354 · 1 hit paper · h-index 4

Impact in

Papers in

Avery Smith

8 papers receiving 333 citations

Avery Smith's Hit Papers

Machine Learning and Health Care Disparities in Dermatology 2018 · 327 citations
3270+2+5Years since publication100200300

Peers

Avery Smith
Comparison fields: 5 of 86
  • Health Informatics 140
  • Health Information Management 22
  • Safety Research 32
  • Artificial Intelligence 120
  • Oncology 101
Replace Kelly Lo with:
Kelly Lo United States
Priya Manjaly United States
Jesutofunmi A. Omiye United States
Bryan Lim Australia
Tobias E. Sangers Netherlands
Janardhana Ponnatapura United States
Rushabh Doshi United States
Natalia Norori United Kingdom
Zherui Liu China
Avery Smith relative to Kelly Lo United States Kelly Lo's profile →
Citations per field
00.5×11×
Kelly Lo · 1×
Citations per year

Countries citing papers authored by Avery Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 10 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.

Border = papers with Avery Smith Line = papers co-authored together Avery Smith links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Machine Learning and Health Care Disparities in Dermatology
Hit paper breakdown →
2018327
2 202010
3 20188
4 20163
5 20162
6 20192
7 20211
8 20171
9 20160
10
A proactive approach.
20000
11 20150

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 11 papers that have together received 354 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), Child Nutrition and Feeding Issues (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Airway Management and Intubation Techniques (1 paper), Case Reports on Hematomas (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Health Informatics (140 citations), Health Information Management (22 citations), Safety Research (32 citations), Artificial Intelligence (120 citations) and Oncology (101 citations). Avery Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Adewole S. Adamson, Joseph M. Guileyardo, Carlos Corredor, Pradeep Madhivathanan, John S. Fordtran, Carol A. Santa Ana, Barry Cooper, Eric R. Fenstad, Deborah J. Levine and Howard Kaplan. Their work appears in journals such as CHEST Journal, Critical Care Medicine, JAMA Dermatology, 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.

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