Michael E. Brown

1.0k citations
31 papers · 693 indexed · h-index 14

Impact in

Papers in

    • Cardiac Valve Diseases and Treatments 5
    • Atrial Fibrillation Management and Outcomes 3
    • Cardiac electrophysiology and arrhythmias 2
    • Cardiac Structural Anomalies and Repair 3
    • Cardiac and Coronary Surgery Techniques 3

Michael E. Brown

29 papers receiving 643 citations

Peers

Michael E. Brown
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 378
  • Cognitive Neuroscience 74
  • Information Systems and Management 25
  • Surgery 134
  • Emergency Medicine 28
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Michael E. Brown relative to Terry Thompson Canada Terry Thompson's profile →
Citations per field
00.5×1.5×2.4×
Terry Thompson · 1×
Citations per year

Countries citing papers authored by Michael E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Brown. 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 Michael E. Brown. The network helps show where Michael E. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014198
2 200682
3 202048
4 199544
5 196943
6 201839
7 198735
8 200925
9 195923
10 199618
11 200717
12 199517
13 199316
14 199513
15 201513
16 200812
17 199410
18 20099
19 20096
20 20145

About Michael E. Brown

Michael E. Brown is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Cognitive Neuroscience and Molecular Biology, having authored 31 papers that have together received 693 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiac Structural Anomalies and Repair (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Vestibular and auditory disorders (3 papers), Cardiac and Coronary Surgery Techniques (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (378 citations), Cognitive Neuroscience (74 citations), Information Systems and Management (25 citations), Surgery (134 citations) and Emergency Medicine (28 citations). Michael E. Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gemin Ni, Jeffrey N. Rottman, Ivan K. Crosby, Mohammed Quader, Alan M. Speir, John A. Kern, Jeffrey Rich, Damien J. LaPar, Irving L. Kron and Edwin Fonner. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Neurophysiology, International Journal of Human-Computer Interaction, Artificial Organs and New England Journal of Medicine.

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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