J.-F. Gerbeau
- Computational Mechanics top 2%
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Numerical Analysis top 10%
- Co-authors
- Paola CausinFabio NobileSanjay PantIrène Vignon-ClémentelCristóbal BertoglioPhilippe MoireauDominique ChapelleNan Xiao
- Topics
- Advanced Numerical Methods in Computational Mathematics (2 papers)Hemodynamic Monitoring and Therapy (1 paper)Fluid Dynamics and Turbulent Flows (1 paper)
- Journals
- Computer Methods in Applied Mechanics and EngineeringBiomechanics and Modeling in MechanobiologyInternational Journal for Numerical Methods in Biomedical Engineering
- Partner nations
- FranceSouth AfricaItaly
In The Last Decade
J.-F. Gerbeau
4 papers receiving 728 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computational Mechanics 524
- Cardiology and Cardiovascular Medicine 134
- Biomedical Engineering 111
- Control and Systems Engineering 84
- Numerical Analysis 76
Countries citing papers authored by J.-F. Gerbeau
This map shows the geographic impact of J.-F. Gerbeau'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 J.-F. Gerbeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-F. Gerbeau more than expected).
Fields of papers citing papers by J.-F. Gerbeau
This network shows the impact of papers produced by J.-F. Gerbeau. 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 J.-F. Gerbeau. The network helps show where J.-F. Gerbeau may publish in the future.
Co-authorship network of co-authors of J.-F. Gerbeau
This figure shows the co-authorship network connecting the top 25 collaborators of J.-F. Gerbeau. A scholar is included among the top collaborators of J.-F. Gerbeau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.-F. Gerbeau. J.-F. Gerbeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 14 | |
| 3 | 60 | |
| 4 | Added-mass effect in the design of partitioned algorithms for fluid–structure problemsbreakdown → | 612 |
About J.-F. Gerbeau
J.-F. Gerbeau is a scholar working on Numerical Analysis, Computational Mechanics and Statistical and Nonlinear Physics, having authored 4 papers that have together received 764 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (2 papers), Hemodynamic Monitoring and Therapy (1 paper) and Fluid Dynamics and Turbulent Flows (1 paper). The work is most often cited by research in Computational Mechanics (524 citations), Numerical Analysis (76 citations) and Cardiology and Cardiovascular Medicine (134 citations). J.-F. Gerbeau has collaborated with scholars based in France, South Africa and Italy. Frequent co-authors include Paola Causin, Fabio Nobile, Sanjay Pant, Irène Vignon-Clémentel, Cristóbal Bertoglio, Philippe Moireau, Dominique Chapelle, Nan Xiao, C. Alberto Figueroa and Charles A. Taylor. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Biomechanics and Modeling in Mechanobiology and International Journal for Numerical Methods in Biomedical Engineering.
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.