Roland Assaraf

1.2k total citations
20 papers, 713 citations indexed

About

Roland Assaraf is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Roland Assaraf has authored 20 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 10 papers in Condensed Matter Physics and 2 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Roland Assaraf's work include Advanced Chemical Physics Studies (11 papers), Physics of Superconductivity and Magnetism (7 papers) and Quantum, superfluid, helium dynamics (7 papers). Roland Assaraf is often cited by papers focused on Advanced Chemical Physics Studies (11 papers), Physics of Superconductivity and Magnetism (7 papers) and Quantum, superfluid, helium dynamics (7 papers). Roland Assaraf collaborates with scholars based in France, Italy and United States. Roland Assaraf's co-authors include Michel Caffarel, P. Azaria, P. Lecheminant, Julien Toulouse, Emmanuel Giner, Barthélémy Pradines, Benjamin Rotenberg, Saverio Moroni, Daniel Borgis and Rodolphe Vuilleumier and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Roland Assaraf

20 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roland Assaraf France 12 567 188 187 72 50 20 713
E. Curotto United States 16 521 0.9× 144 0.8× 63 0.3× 54 0.8× 36 0.7× 51 635
Matthew R. Hermes United States 21 697 1.2× 243 1.3× 103 0.6× 230 3.2× 31 0.6× 55 1.1k
Deidre Cleland Australia 11 539 1.0× 252 1.3× 157 0.8× 115 1.6× 16 0.3× 16 737
Stuart M. Rothstein Canada 18 633 1.1× 179 1.0× 61 0.3× 109 1.5× 22 0.4× 71 851
Gergely Barcza Hungary 15 653 1.2× 315 1.7× 155 0.8× 155 2.2× 55 1.1× 36 958
Jun Shen United States 21 941 1.7× 387 2.1× 61 0.3× 166 2.3× 20 0.4× 50 1.2k
Emmanuel Giner France 15 594 1.0× 233 1.2× 64 0.3× 115 1.6× 31 0.6× 52 788
Thomas Kloss France 16 255 0.4× 189 1.0× 253 1.4× 38 0.5× 38 0.8× 35 740
B. L. Hammond United States 14 825 1.5× 219 1.2× 99 0.5× 125 1.7× 25 0.5× 19 995
Hiroyasu Koizumi Japan 17 795 1.4× 166 0.9× 449 2.4× 125 1.7× 85 1.7× 57 1.2k

Countries citing papers authored by Roland Assaraf

Since Specialization
Citations

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

Fields of papers citing papers by Roland Assaraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Assaraf

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

All Works

20 of 20 papers shown
1.
Toulouse, Julien, et al.. (2022). Systematic lowering of the scaling of Monte Carlo calculations by partitioning andsubsampling. arXiv (Cornell University). 1 indexed citations
2.
Assaraf, Roland, et al.. (2021). Stochastic Effective Core Potentials, toward Efficient Quantum Monte Carlo Simulations of Molecules with Large Atomic Numbers. Journal of Chemical Theory and Computation. 17(3). 1380–1389. 4 indexed citations
3.
Garniron, Yann, Thomas Applencourt, Anouar Benali, et al.. (2019). Quantum Package 2.0: An Open-Source Determinant-Driven Suite of Programs. Journal of Chemical Theory and Computation. 15(6). 3591–3609. 110 indexed citations
4.
Giner, Emmanuel, et al.. (2018). Curing basis-set convergence of wave-function theory using density-functional theory: A systematically improvable approach. The Journal of Chemical Physics. 149(19). 194301–194301. 37 indexed citations
5.
Assaraf, Roland, Saverio Moroni, & Claudia Filippi. (2017). Optimizing the Energy with Quantum Monte Carlo: A Lower Numerical Scaling for Jastrow–Slater Expansions. Journal of Chemical Theory and Computation. 13(11). 5273–5281. 32 indexed citations
6.
Coccia, Emanuele, Roland Assaraf, Eleonora Luppi, & Julien Toulouse. (2017). Ab initio lifetime correction to scattering states for time-dependent electronic-structure calculations with incomplete basis sets. The Journal of Chemical Physics. 147(1). 14106–14106. 22 indexed citations
7.
Giner, Emmanuel, Roland Assaraf, & Julien Toulouse. (2016). Quantum Monte Carlo with reoptimised perturbatively selected configuration-interaction wave functions. Molecular Physics. 114(7-8). 910–920. 21 indexed citations
8.
Assaraf, Roland, Benjamin Jourdain, Tony Lelièvre, & R. Roux. (2015). Computation of sensitivities for the invariant measure of a parameter\n dependent diffusion. arXiv (Cornell University). 6 indexed citations
9.
10.
11.
Borgis, Daniel, Roland Assaraf, Benjamin Rotenberg, & Rodolphe Vuilleumier. (2013). Computation of pair distribution functions and three-dimensional densities with a reduced variance principle. Molecular Physics. 111(22-23). 3486–3492. 42 indexed citations
12.
Assaraf, Roland, et al.. (2011). Chaotic versus Nonchaotic Stochastic Dynamics in Monte Carlo Simulations: A Route for Accurate Energy Differences inN-Body Systems. Physical Review Letters. 106(15). 150601–150601. 11 indexed citations
13.
Assaraf, Roland, et al.. (2007). The fermion Monte Carlo revisited. Journal of Physics A Mathematical and Theoretical. 40(6). 1181–1214. 10 indexed citations
14.
Assaraf, Roland, P. Azaria, E. Boulat, Michel Caffarel, & P. Lecheminant. (2004). Dynamical Symmetry Enlargement versus Spin-Charge Decoupling in the One-Dimensional SU(4) Hubbard Model. Physical Review Letters. 93(1). 32 indexed citations
15.
Assaraf, Roland & Michel Caffarel. (2003). Zero-variance zero-bias principle for observables in quantum Monte Carlo: Application to forces. The Journal of Chemical Physics. 119(20). 10536–10552. 90 indexed citations
16.
Assaraf, Roland, et al.. (2000). Diffusion Monte Carlo methods with a fixed number of walkers. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(4). 4566–4575. 55 indexed citations
17.
Assaraf, Roland & Michel Caffarel. (2000). Computing forces with quantum Monte Carlo. The Journal of Chemical Physics. 113(10). 4028–4034. 72 indexed citations
18.
Assaraf, Roland & Michel Caffarel. (1999). Zero-Variance Principle for Monte Carlo Algorithms. Physical Review Letters. 83(23). 4682–4685. 81 indexed citations
19.
Assaraf, Roland, P. Azaria, Michel Caffarel, & P. Lecheminant. (1999). Metal-insulator transition in the one-dimensionalSU(N)Hubbard model. Physical review. B, Condensed matter. 60(4). 2299–2318. 80 indexed citations
20.
Assaraf, Roland, P. Azaria, Michel Caffarel, & P. Lecheminant. (1999). Metal-insulator transition in the one-dimensional SUÑNÖ Hubbard model. 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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