Marc Ovadia

1.3k citations
31 papers · 623 · h-index 14

Impact in

Papers in

Marc Ovadia

30 papers receiving 592 citations

Peers

Marc Ovadia
Comparison fields: 5 of 95
  • Modeling and Simulation 94
  • Cardiology and Cardiovascular Medicine 207
  • Numerical Analysis 41
  • Electrochemistry 30
  • Cellular and Molecular Neuroscience 74
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Hun H. Sun United States
Thomas M. Gallie United States
Macarena Trujillo Spain
C. Viganotti Italy
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Sumanth Swaminathan United States
Eoin Hyde United Kingdom
M.N. Morrow United States
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Citations per field
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Citations per year

Countries citing papers authored by Marc Ovadia

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ovadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Ovadia, 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 Marc Ovadia Line = papers co-authored together Marc Ovadia 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 2008154
2 200370
3 200635
4 200932
5 200729
6 199429
7 199428
8 201028
9 201022
10 199820
11 200219
12 197119
13 200018
14 200013
15 199512
16 200012
17 199411
18 200611
19 20009
20 20059

About Marc Ovadia

Marc Ovadia is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Electrochemistry, Electrical and Electronic Engineering and Molecular Biology, having authored 31 papers that have together received 623 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Cardiac Arrhythmias and Treatments (8 papers), Electrochemical Analysis and Applications (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cardiac pacing and defibrillation studies (4 papers), Analytical Chemistry and Sensors (4 papers), Conducting polymers and applications (3 papers) and Electrical and Bioimpedance Tomography (3 papers). The work is most often cited by research in Modeling and Simulation (94 citations), Cardiology and Cardiovascular Medicine (207 citations), Numerical Analysis (41 citations), Electrochemistry (30 citations) and Cellular and Molecular Neuroscience (74 citations). Marc Ovadia has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Richard L. Magin, Bettina F. Cuneo, Janette F. Strasburger, Ronald T. Wakai, Hui Zhao, Gregory M. Marcus, Jeffrey R. Schneider, Alisa Niksch, Peter J. Stoward and Mark H. Schoenfisch. Their work appears in journals such as Pacing and Clinical Electrophysiology, The American Journal of Cardiology, Electroanalysis, Chemical Physics Letters and The Journal of Maternal-Fetal & Neonatal 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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