Pierre A. Gremaud

760 total citations
39 papers, 487 citations indexed

About

Pierre A. Gremaud is a scholar working on Computational Mechanics, Cardiology and Cardiovascular Medicine and Mechanics of Materials. According to data from OpenAlex, Pierre A. Gremaud has authored 39 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Mechanics of Materials. Recurrent topics in Pierre A. Gremaud's work include Granular flow and fluidized beds (11 papers), Cardiovascular Health and Disease Prevention (7 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Pierre A. Gremaud is often cited by papers focused on Granular flow and fluidized beds (11 papers), Cardiovascular Health and Disease Prevention (7 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Pierre A. Gremaud collaborates with scholars based in United States, Denmark and United Kingdom. Pierre A. Gremaud's co-authors include John Matthews, Mette S. Olufsen, Vera Novak, Guillaume Vernières, Peng Zhao, David G. Schaeffer, Fuyou Liang, Michael Shearer, T. Barker and J. M. N. T. Gray and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Pierre A. Gremaud

39 papers receiving 470 citations

Peers

Pierre A. Gremaud

CCM

PRM

MMPL

SURGE

Pasquale Claudio Africa Italy

Émilie Marchandise Belgium

C.E. Hann New Zealand

Alberto Gambaruto United Kingdom

M. A. Martínez Spain

Hyoungsu Baek United States

J.P. Halleux Italy

Romain Aubry United States

Stefano Perna Italy

Pasquale Claudio Africa Italy

Pierre A. Gremaud

87 ×0.5

347 ×2.7

CCM

22 ×0.3

PRM

11 ×0.2

MMPL

39 ×0.7

SURGE

Citations per year, relative to Pierre A. Gremaud Pierre A. Gremaud (= 1×) peers Pasquale Claudio Africa

Countries citing papers authored by Pierre A. Gremaud

Since Specialization

Citations

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

Fields of papers citing papers by Pierre A. Gremaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre A. Gremaud. 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 Pierre A. Gremaud. The network helps show where Pierre A. Gremaud may publish in the future.

Co-authorship network of co-authors of Pierre A. Gremaud

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre A. Gremaud. A scholar is included among the top collaborators of Pierre A. Gremaud 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 Pierre A. Gremaud. Pierre A. Gremaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Alexanderian, Alen, et al.. (2024). VARIANCE-BASED SENSITIVITY OF BAYESIAN INVERSE PROBLEMS TO THE PRIOR DISTRIBUTION. International Journal for Uncertainty Quantification. 15(2). 65–90. 1 indexed citations

Alexanderian, Alen, et al.. (2024). EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS. International Journal for Uncertainty Quantification. 14(4). 83–103. 1 indexed citations

Gamboa, Fabrice, Pierre A. Gremaud, Thierry Klein, & Agnès Lagnoux. (2022). Global sensitivity analysis: A novel generation of mighty estimators based on rank statistics. Bernoulli. 28(4). 18 indexed citations

Alexanderian, Alen, et al.. (2022). GLOBAL SENSITIVITY ANALYSIS OF RARE EVENT PROBABILITIES USING SUBSET SIMULATION AND POLYNOMIAL CHAOS EXPANSIONS. International Journal for Uncertainty Quantification. 13(1). 53–67. 3 indexed citations

Hart, Joseph P., et al.. (2021). Classification of orthostatic intolerance through data analytics. Medical & Biological Engineering & Computing. 59(3). 621–632. 2 indexed citations

Brady‐Nicholls, Renee, Pierre A. Gremaud, Hien Tran, et al.. (2019). Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models. Journal of Mathematical Biology. 79(3). 987–1014. 8 indexed citations

Schaeffer, David G., et al.. (2019). Constitutive relations for compressible granular flow in the inertial regime. Journal of Fluid Mechanics. 874. 926–951. 54 indexed citations

Gremaud, Pierre A., et al.. (2019). Global Sensitivity Analysis of High-Dimensional Neuroscience Models: An Example of Neurovascular Coupling. Bulletin of Mathematical Biology. 81(6). 1805–1828. 7 indexed citations

Liang, Fuyou, et al.. (2016). Comparison of the Windkessel model and structured-tree model applied to prescribe outflow boundary conditions for a one-dimensional arterial tree model. Journal of Biomechanics. 49(9). 1583–1592. 43 indexed citations

10.

Novak, Vera, et al.. (2016). Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study. PLoS ONE. 11(11). e0165536–e0165536. 3 indexed citations

11.

Collins, James B. & Pierre A. Gremaud. (2016). Analysis of a domain decomposition method for linear transport problems on networks. Applied Numerical Mathematics. 109. 61–72. 1 indexed citations

12.

Gremaud, Pierre A., et al.. (2009). Modeling cerebral blood flow and regulation. PubMed. 2009. 5470–5473. 8 indexed citations

13.

Shearer, Michael, et al.. (2009). Periodic motion of a mass-spring system. IMA Journal of Applied Mathematics. 74(6). 807–826. 1 indexed citations

14.

Gremaud, Pierre A., et al.. (2008). Blood Flow in the Circle of Willis: Modeling and Calibration. Multiscale Modeling and Simulation. 7(2). 888–909. 95 indexed citations

15.

Wambaugh, John F., Robert Behringer, John Matthews, & Pierre A. Gremaud. (2007). Response to perturbations for granular flow in a hopper. Physical Review E. 76(5). 51303–51303. 5 indexed citations

16.

Gremaud, Pierre A., John Matthews, & David G. Schaeffer. (2006). On the computation of steady hopper flows III: Model comparisons. Journal of Computational Physics. 219(1). 443–454. 9 indexed citations

17.

Gremaud, Pierre A., et al.. (2006). Computational Study of Fast Methods for the Eikonal Equation. SIAM Journal on Scientific Computing. 27(6). 1803–1816. 49 indexed citations

18.

Schaeffer, David G., John Matthews, & Pierre A. Gremaud. (2004). Secondary Circulation in Granular Flow Through Nonaxisymmetric Hoppers. SIAM Journal on Applied Mathematics. 64(2). 583–600. 7 indexed citations

19.

Gremaud, Pierre A., et al.. (2003). Numerical simulation of aerated powder consolidation. International Journal of Non-Linear Mechanics. 38(8). 1185–1194. 2 indexed citations

20.

Kelley, C. T., et al.. (2001). On a Powder Consolidation Problem. SIAM Journal on Applied Mathematics. 62(1). 1–20. 1 indexed citations

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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