Marc Garbey

3.0k citations
129 papers · 2.0k · h-index 22

Impact in

Papers in

    • Advanced Numerical Methods in Computational Mathematics 22
    • Computational Fluid Dynamics and Aerodynamics 13
    • Coronary Interventions and Diagnostics 14

Marc Garbey

125 papers receiving 1.9k citations

Peers

Marc Garbey
Comparison fields: 5 of 152
  • Numerical Analysis 170
  • Cardiology and Cardiovascular Medicine 375
  • Computational Mechanics 357
  • Radiology, Nuclear Medicine and Imaging 302
  • Biomedical Engineering 593
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Citations per field
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Citations per year

Countries citing papers authored by Marc Garbey

Since Specialization
Citations

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

Fields of papers citing papers by Marc Garbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007295
2 2017168
3 2007135
4 199763
5 200955
6 200548
7 202045
8 201644
9 200543
10 200440
11 200238
12 201935
13 199833
14 200232
15 199629
16 199629
17 199327
18 199724
19 200823
20 201323

About Marc Garbey

Marc Garbey is a scholar working on Computational Mechanics, Surgery, Numerical Analysis, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (22 papers), Differential Equations and Numerical Methods (15 papers), Numerical methods for differential equations (14 papers), Coronary Interventions and Diagnostics (14 papers), Computational Fluid Dynamics and Aerodynamics (13 papers), Matrix Theory and Algorithms (7 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Healthcare Operations and Scheduling Optimization (7 papers). The work is most often cited by research in Numerical Analysis (170 citations), Cardiology and Cardiovascular Medicine (375 citations), Computational Mechanics (357 citations), Radiology, Nuclear Medicine and Imaging (302 citations) and Biomedical Engineering (593 citations). Marc Garbey has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Ioannis Pavlidis, Nanfei Sun, Arcangelo Merla, Scott A. Berceli, Ahmet Omurtag, Hans G. Kaper, Roger Tran‐Son‐Tay, Damien Tromeur-Dervout, Barbara L. Bass and Minki Hwang. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing, Parallel Computing, Ecological Modelling and International Journal for Numerical Methods in Fluids.

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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