Benjamin J. Meyer
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
- Surgery 3
- Pelvic and Acetabular Injuries 2
-
- Context-Aware Activity Recognition Systems 1
- Human Pose and Action Recognition 1
- Co-authors
- Max R. O’Donnell (1 shared paper)Samuel D. Jacobson (1 shared paper)Justin G. Aaron (1 shared paper)John Salazar‐Schicchi (1 shared paper)Darryl Abrams (1 shared paper)LeRoy E. Rabbani (1 shared paper)Elizabeth M. Balough (1 shared paper)Jan Claassen (1 shared paper)
- Journals
- Journal of the American College of Radiology (3 papers)Journal of the American Geriatrics Society (1 paper)IEEE Access (1 paper)The Lancet (1 paper)Ultrasound Quarterly (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Benjamin J. Meyer
9 papers receiving 1.5k citations
Benjamin J. Meyer's Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 680
- Neurology 364
- Critical Care and Intensive Care Medicine 101
- Emergency Medicine 64
- Modeling and Simulation 34
Countries citing papers authored by Benjamin J. Meyer
This map shows the geographic impact of Benjamin J. Meyer'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 Benjamin J. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Meyer more than expected).
Fields of papers citing papers by Benjamin J. Meyer
This network shows the impact of papers produced by Benjamin J. Meyer. 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 Benjamin J. Meyer. The network helps show where Benjamin J. Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin J. Meyer, 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 | Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study Hit paper breakdown → | 2020 | 1417 |
| 2 | 2015 | 48 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 23 | |
| 5 | 2018 | 17 | |
| 6 | 2018 | 12 | |
| 7 | 2023 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2017 | 3 |
About Benjamin J. Meyer
Benjamin J. Meyer is a scholar working on Surgery, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health, Artificial Intelligence and Emergency Medicine, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pelvic and Acetabular Injuries (2 papers), Intensive Care Unit Cognitive Disorders (1 paper), COVID-19 and healthcare impacts (1 paper), Reproductive Health and Contraception (1 paper), Context-Aware Activity Recognition Systems (1 paper), Machine Learning in Healthcare (1 paper), Human Pose and Action Recognition (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Infectious Diseases (680 citations), Neurology (364 citations), Critical Care and Intensive Care Medicine (101 citations), Emergency Medicine (64 citations) and Modeling and Simulation (34 citations). Benjamin J. Meyer has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Max R. O’Donnell, Samuel D. Jacobson, Justin G. Aaron, John Salazar‐Schicchi, Darryl Abrams, LeRoy E. Rabbani, Elizabeth M. Balough, Jan Claassen, Beth Hochman and Jonathan Hastie. Their work appears in journals such as Journal of the American College of Radiology, Journal of the American Geriatrics Society, IEEE Access, The Lancet and Ultrasound Quarterly.
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.