David Mortara

1.6k citations
55 papers · 1.1k · h-index 16

Impact in

Papers in

David Mortara

53 papers receiving 1.1k citations

Peers

David Mortara
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 784
  • Nuclear and High Energy Physics 122
  • Cognitive Neuroscience 103
  • Biomedical Engineering 162
  • Health Informatics 4
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Countries citing papers authored by David Mortara

Since Specialization
Citations

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

Fields of papers citing papers by David Mortara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990218
2 1981185
3 1997141
4 202155
5 198045
6 196844
7 201342
8 201737
9 197833
10
A Deep Learning Approach to Examine Ischemic ST Changes in Ambulatory ECG Recordings.
201827
11 196823
12 201822
13 201721
14 196819
15 200916
16 201416
17 201914
18 197113
19 198812
20
Validation of a novel method for non-invasive blood potassium quantification from the ECG
201211

About David Mortara

David Mortara is a scholar working on Cardiology and Cardiovascular Medicine, Nuclear and High Energy Physics, Surgery, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), ECG Monitoring and Analysis (16 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Non-Invasive Vital Sign Monitoring (6 papers), Healthcare Technology and Patient Monitoring (6 papers), Cardiac Arrhythmias and Treatments (6 papers), Particle physics theoretical and experimental studies (6 papers) and Cardiac pacing and defibrillation studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (784 citations), Nuclear and High Energy Physics (122 citations), Cognitive Neuroscience (103 citations), Biomedical Engineering (162 citations) and Health Informatics (4 citations). David Mortara has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include A Castellanos, John J. Rozanski, Robert J. Myerburg, Peter W. Macfarlane, James J. Bailey, Amit Berson, C. Zywietz, Arthur Garson, Leo G. Horan and Carlo Napolitano. Their work appears in journals such as Physical Review Letters, Annals of Noninvasive Electrocardiology, Circulation, Pacing and Clinical Electrophysiology 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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