Mario Luzi

1.3k citations
33 papers · 775 · h-index 11

Impact in

Papers in

Mario Luzi

25 papers receiving 715 citations

Peers

Mario Luzi
Comparison fields: 5 of 49
  • Cardiology and Cardiovascular Medicine 634
  • Cellular and Molecular Neuroscience 65
  • Internal Medicine 10
  • Health Informatics 4
  • Neurology 33
Replace Eugen Palma with:
Eugen Palma United States
Judith A. Mackall United States
Pasquale Notarstefano Italy
Gumpanart Veerakul Thailand
P Zecchi Italy
Hariharan Raju United Kingdom
Sébastien P.J. Krul Netherlands
Ramarao S. Lankipalli United States
Danilo Ricciardi Italy
Toshihisa Miyazaki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mario Luzi

Since Specialization
Citations

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

Fields of papers citing papers by Mario Luzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004294
2 2011159
3 201766
4 201558
5 199452
6 201422
7 201717
8 201913
9 200813
10 201713
11 202011
12 199510
13 20079
14 20157
15 20067
16 20136
17 20204
18 20084
19 20183
20 20172

About Mario Luzi

Mario Luzi is a scholar working on Cardiology and Cardiovascular Medicine, General Arts and Humanities, Artificial Intelligence, Cellular and Molecular Neuroscience and Neurology, having authored 33 papers that have together received 775 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (16 papers), Cardiac Arrhythmias and Treatments (8 papers), Italian Literature and Culture (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Linguistic Studies and Language Acquisition (4 papers), Neurological disorders and treatments (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (634 citations), Cellular and Molecular Neuroscience (65 citations), Internal Medicine (10 citations), Health Informatics (4 citations) and Neurology (33 citations). Mario Luzi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giovanni Luca Botto, Lorella Gianfranchi, Massimo Calzolari, N Baldi, R Baroffio, Paola Marchi, Paoló Alboni, Vitantonio Russo, Alberto Solano and Germano Gaggioli. Their work appears in journals such as EP Europace, International Journal of Cardiology, Heart Rhythm, European Heart Journal and Pacing and Clinical Electrophysiology.

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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