Brian Ayers

719 citations
55 papers · 438 indexed · h-index 12

Brian Ayers

51 papers receiving 434 citations

Peers

Brian Ayers
Comparison fields: 5 of 76
  • Emergency Medicine 152
  • Health Informatics 14
  • Surgery 266
  • Biomedical Engineering 256
  • Internal Medicine 18
Replace Katherine Wood with:
Katherine Wood United States
Avihu Z. Gazit United States
Megan McCullough United States
Nils Siegenthaler Switzerland
Samian Sulaiman United States
Laura Seese United States
Pierre Esnault France
Yiorgos Alexandros Cavayas Canada
Melvin C. Almodovar United States
Alejandro Lemor United States
Brian Ayers relative to Katherine Wood United States Katherine Wood's profile →
Citations per field
00.5×1.5×2.3×
Katherine Wood · 1×
Citations per year

Countries citing papers authored by Brian Ayers

Since Specialization
Citations

This map shows the geographic impact of Brian Ayers'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 Brian Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ayers more than expected).

Fields of papers citing papers by Brian Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Ayers. 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 Brian Ayers. The network helps show where Brian Ayers may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Brian Ayers, 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 Brian Ayers Line = papers co-authored together Brian Ayers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 202313
4 20226
5 20216
6 20204
7 202021
8 20203
9 201912
10 20192
11 20191
12 20193
13 20194
14 201936
15 201998
16 20193
17 20180
18 20170
19 199420
20 19877

About Brian Ayers

Brian Ayers is a scholar working on Emergency Medicine, Cardiology and Cardiovascular Medicine, Internal Medicine, Emergency Medical Services and Surgery, having authored 55 papers that have together received 438 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (25 papers), Cardiac Structural Anomalies and Repair (18 papers), Cardiac Arrest and Resuscitation (14 papers), Heart Failure Treatment and Management (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Central Venous Catheters and Hemodialysis (5 papers), Ultrasound in Clinical Applications (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Emergency Medicine (152 citations), Health Informatics (14 citations), Surgery (266 citations), Biomedical Engineering (256 citations) and Internal Medicine (18 citations). Brian Ayers has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Igor Gošev, Sunil Prasad, Katherine Wood, Bryan Barrus, Himabindu Vidula, Matthew Boutell, Jeffrey D. Alexis, Tüomas Sandholm, Peter A. Knight and Arman Kilic. Their work appears in journals such as The Journal of Heart and Lung Transplantation, The Annals of Thoracic Surgery, Journal of Vascular Surgery, Annals of Vascular Surgery and Interactive Cardiovascular and Thoracic Surgery.

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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