Carlos Ferrera

1.5k citations
61 papers · 711 · h-index 13

Impact in

Papers in

Carlos Ferrera

51 papers receiving 697 citations

Peers

Carlos Ferrera
Comparison fields: 5 of 50
  • Epidemiology 430
  • Cardiology and Cardiovascular Medicine 203
  • Infectious Diseases 125
  • Public Health, Environmental and Occupational Health 123
  • Pulmonary and Respiratory Medicine 128
Replace Carlos D. Davila with:
Carlos D. Davila United States
Arkalgud Sampath Kumar India
Ricardo Ronderos Argentina
Catherine Graupner Spain
Jean Paul Rémadi France
Susan R. Hecht United States
Antonia Sambola Spain
Itzíar Gómez Spain
Michele Musci Germany
Joachim Laas Germany
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Citations per field
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Carlos D. Davila · 1×
Citations per year

Countries citing papers authored by Carlos Ferrera

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Ferrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017153
2 201288
3 202179
4 201242
5 201433
6 201424
7 201223
8 201823
9 201521
10 201717
11 201516
12 201516
13 201514
14 201611
15 202011
16 201910
17 202110
18 20199
19 20229
20 20178

About Carlos Ferrera

Carlos Ferrera is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Biomedical Engineering, having authored 61 papers that have together received 711 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (17 papers), Aortic Disease and Treatment Approaches (16 papers), Infective Endocarditis Diagnosis and Management (15 papers), Cardiac Structural Anomalies and Repair (12 papers), Mechanical Circulatory Support Devices (6 papers), Heart Failure Treatment and Management (4 papers), Aortic aneurysm repair treatments (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Epidemiology (430 citations), Cardiology and Cardiovascular Medicine (203 citations), Infectious Diseases (125 citations), Public Health, Environmental and Occupational Health (123 citations) and Pulmonary and Respiratory Medicine (128 citations). Carlos Ferrera has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include J. Alberto San Román, Isidre Vilacosta, Carmen Olmos, Cristina Fernández, Javier López, Cristina Sarriá, Luis Maroto, David Vivas, Ana Revilla and Daniel García‐Arribas. Their work appears in journals such as European Heart Journal, Journal of the American College of Cardiology, The American Journal of Cardiology, International Journal of Cardiology and Catheterization and Cardiovascular Interventions.

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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