Guy Vaksmann

2.6k citations
98 papers · 1.5k indexed · h-index 18

Guy Vaksmann

92 papers receiving 1.4k citations

Peers

Guy Vaksmann
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 951
  • Epidemiology 340
  • Genetics 104
  • Pulmonary and Respiratory Medicine 302
  • Surgery 402
Replace Angelica Bibiana Delogu with:
Angelica Bibiana Delogu Italy
M. Yasir Qureshi United States
Charles F. Wooley United States
Yousuf Mahomed United States
Ryozo Okada Japan
Claudio Ramaciotti United States
R Emanuel United States
Richard J. Czosek United States
Noel H. Fishman United States
Alessandro Rimini Italy
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Citations per field
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Angelica Bibiana Delogu · 1×
Citations per year

Countries citing papers authored by Guy Vaksmann

Since Specialization
Citations

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

Fields of papers citing papers by Guy Vaksmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20221
3 20210
4 20203
5 20202
6 201817
7 201568
8 201417
9 2007237
10 2005294
11 20041
12 20016
13 20011
14 19951
15 19948
16 199038
17 199052
18 198910
19 198820
20 198718

About Guy Vaksmann

Guy Vaksmann is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Emergency Medical Services, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (36 papers), Cardiac Arrhythmias and Treatments (26 papers), Cardiovascular Syncope and Autonomic Disorders (16 papers), Pulmonary Hypertension Research and Treatments (13 papers), Congenital Diaphragmatic Hernia Studies (10 papers), Cardiac pacing and defibrillation studies (9 papers), Coronary Artery Anomalies (9 papers) and Tracheal and airway disorders (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (951 citations), Epidemiology (340 citations), Genetics (104 citations), Pulmonary and Respiratory Medicine (302 citations) and Surgery (402 citations). Guy Vaksmann has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Christophe Meune, Henri-Marc Bécane, Denis Duboc, Guy Lerebours, Jean‐Yves Devaux, Charles Francart, Christian Rey, Bertrand Pierre, C. Bérard and Simon Weber. Their work appears in journals such as European Journal of Pediatrics, The American Journal of Cardiology, Pacing and Clinical Electrophysiology, Circulation and American Heart Journal.

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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