Benjamin J. Meyer

3.2k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Benjamin J. Meyer is a scholar working on Surgery, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Benjamin J. Meyer has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Benjamin J. Meyer's work include Pelvic and Acetabular Injuries (2 papers), Long-Term Effects of COVID-19 (2 papers) and COVID-19 and healthcare impacts (2 papers). Benjamin J. Meyer is often cited by papers focused on Pelvic and Acetabular Injuries (2 papers), Long-Term Effects of COVID-19 (2 papers) and COVID-19 and healthcare impacts (2 papers). Benjamin J. Meyer collaborates with scholars based in United States, Canada and Australia. Benjamin J. Meyer's co-authors include Daniel Brodie, Beth Hochman, Samuel D. Jacobson, Matthew R. Baldwin, Jan Claassen, LeRoy E. Rabbani, Max R. O’Donnell, Justin G. Aaron, Natalie Yip and Elizabeth M. Balough and has published in prestigious journals such as The Lancet, Journal of the American Geriatrics Society and IEEE Access.

In The Last Decade

Benjamin J. Meyer

9 papers receiving 1.5k citations

Hit Papers

Epidemiology, clinical course, and outcomes of critically... 2020 2026 2022 2024 2020 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin J. Meyer United States 7 941 626 306 292 216 9 1.5k
Jonathan Hastie United States 8 949 1.0× 622 1.0× 317 1.0× 294 1.0× 208 1.0× 19 1.6k
Sharukh Lokhandwala United States 7 1.1k 1.2× 686 1.1× 303 1.0× 282 1.0× 204 0.9× 12 1.7k
Beth Hochman United States 5 937 1.0× 618 1.0× 310 1.0× 290 1.0× 205 0.9× 13 1.5k
Natalie Yip United States 13 954 1.0× 632 1.0× 355 1.2× 390 1.3× 251 1.2× 20 1.7k
María Gabriela Acuña Chong Ecuador 3 1.1k 1.2× 685 1.1× 300 1.0× 263 0.9× 185 0.9× 5 1.6k
Lindy S. Klaff United States 5 1.1k 1.2× 676 1.1× 306 1.0× 295 1.0× 194 0.9× 6 1.6k
Shane O’Mahony Ireland 4 1.1k 1.2× 691 1.1× 332 1.1× 398 1.4× 264 1.2× 4 1.8k
John Salazar‐Schicchi United States 10 987 1.0× 617 1.0× 437 1.4× 377 1.3× 206 1.0× 17 1.8k
Anthony Gerbino United States 8 1.1k 1.2× 696 1.1× 341 1.1× 549 1.9× 271 1.3× 24 2.2k
Leonardo Italia Italy 9 1.2k 1.3× 748 1.2× 243 0.8× 123 0.4× 128 0.6× 11 1.7k

Countries citing papers authored by Benjamin J. Meyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benjamin J. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin J. Meyer. A scholar is included among the top collaborators of Benjamin J. Meyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin J. Meyer. Benjamin J. Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Meyer, Benjamin J., et al.. (2023). Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning. IEEE Access. 11. 50165–50179. 7 indexed citations
2.
Cummings, Matthew J., Matthew R. Baldwin, Darryl Abrams, et al.. (2020). Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. The Lancet. 395(10239). 1763–1770. 1406 indexed citations breakdown →
3.
Sun, He, et al.. (2020). Characteristics and Palliative Care Needs of COVID ‐19 Patients Receiving Comfort‐Directed Care. Journal of the American Geriatrics Society. 68(6). 1162–1164. 25 indexed citations
4.
Shyu, Jeffrey Y., Bharti Khurana, Jorge A. Soto, et al.. (2020). ACR Appropriateness Criteria® Major Blunt Trauma. Journal of the American College of Radiology. 17(5). S160–S174. 20 indexed citations
5.
Meyer, Benjamin J., et al.. (2018). VicoVR-Based Wireless Daily Activity Recognition and Assessment System for Stroke Rehabilitation. 50. 1117–1121. 12 indexed citations
6.
Brown, Douglas L., Annie T. Packard, Katherine E. Maturen, et al.. (2018). ACR Appropriateness Criteria ® First Trimester Vaginal Bleeding. Journal of the American College of Radiology. 15(5). S69–S77. 16 indexed citations
7.
Meyer, Benjamin J. & Tom Drummond. (2017). Improved semantic segmentation for robotic applications with hierarchical conditional random fields. Monash University Research Portal (Monash University). 5258–5265. 3 indexed citations
8.
Simpson, Lynn L., Nadia J. Khati, Kika M. Dudiak, et al.. (2016). ACR Appropriateness Criteria Assessment of Fetal Well-Being. Journal of the American College of Radiology. 13(12). 1483–1493. 6 indexed citations
9.
Bhosale, Priyadarshani R., Marcia C. Javitt, Mostafa Atri, et al.. (2015). ACR Appropriateness Criteria® Acute Pelvic Pain in the Reproductive Age Group. Ultrasound Quarterly. 32(2). 108–115. 48 indexed citations

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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