Eric Darve

7.9k total citations · 2 hit papers
131 papers, 5.3k citations indexed

About

Eric Darve is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Eric Darve has authored 131 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Atomic and Molecular Physics, and Optics, 36 papers in Electrical and Electronic Engineering and 26 papers in Computational Mechanics. Recurrent topics in Eric Darve's work include Electromagnetic Scattering and Analysis (36 papers), Electromagnetic Simulation and Numerical Methods (22 papers) and Matrix Theory and Algorithms (19 papers). Eric Darve is often cited by papers focused on Electromagnetic Scattering and Analysis (36 papers), Electromagnetic Simulation and Numerical Methods (22 papers) and Matrix Theory and Algorithms (19 papers). Eric Darve collaborates with scholars based in United States, France and Japan. Eric Darve's co-authors include Andrew Pohorille, David Rodríguez‐Gómez, Kailai Xu, Eric S. G. Shaqfeh, David Saintillan, Sivaram Ambikasaran, William Fong, Daniel Zhengyu Huang, Erich Elsen and Daejoong Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Eric Darve

125 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Calculating free energies using average force

2001 839 citations Eric Darve et al. The Journal of Chemical Physics profile →
Adaptive biasing force method for scalar and vector free energy calculations

2008 680 citations Eric Darve et al. The Journal of Chemical Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Darve United States	32	1.6k	1.3k	979	841	687	131	5.3k
Jianfeng Lu United States	35	1.1k 0.7×	422 0.3×	720 0.7×	461 0.5×	901 1.3×	304	6.2k
Nikolai Lebedev United States	34	892 0.6×	1.6k 1.2×	1.0k 1.0×	432 0.5×	441 0.6×	84	6.3k
J.W. Eastwood United Kingdom	22	1.9k 1.2×	944 0.7×	1.9k 2.0×	1.1k 1.3×	1.5k 2.2×	59	8.7k
Weiqing Ren United States	25	998 0.6×	1.1k 0.9×	335 0.3×	401 0.5×	1.1k 1.6×	61	4.4k
Chao Yang United States	35	2.1k 1.3×	443 0.3×	972 1.0×	295 0.4×	1.5k 2.1×	168	6.3k
Peter Deuflhard Germany	40	547 0.3×	947 0.7×	755 0.8×	1.0k 1.2×	430 0.6×	165	6.7k
Marek Cieplak Poland	42	1.7k 1.1×	2.9k 2.3×	285 0.3×	765 0.9×	1.8k 2.6×	220	6.4k
Christian D. Lorenz United Kingdom	38	1.1k 0.7×	1.4k 1.0×	502 0.5×	969 1.2×	1.4k 2.0×	202	5.8k
R. W. Hockney United Kingdom	28	2.0k 1.3×	835 0.6×	2.1k 2.1×	1.1k 1.3×	1.6k 2.3×	80	9.1k
G. T. Barkema Netherlands	33	1.4k 0.9×	657 0.5×	881 0.9×	952 1.1×	2.2k 3.2×	149	5.4k

Countries citing papers authored by Eric Darve

Since Specialization

Citations

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

Fields of papers citing papers by Eric Darve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Darve

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Darve, Eric, et al.. (2024). Coincident learning for unsupervised anomaly detection of scientific instruments. Machine Learning Science and Technology. 5(3). 35036–35036. 1 indexed citations

Ratner, Daniel, et al.. (2024). Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. SHILAP Revista de lepidopterología. 295. 9033–9033. 1 indexed citations

Trask, Nathaniel, et al.. (2023). Probabilistic partition of unity networks for high‐dimensional regression problems. International Journal for Numerical Methods in Engineering. 124(10). 2215–2236.

Xu, Kailai & Eric Darve. (2021). ADCME MPI: Distributed Machine Learning for Computational Engineering.. National Conference on Artificial Intelligence. 1 indexed citations

Zhu, Weiqiang, Kailai Xu, Eric Darve, Biondo Biondi, & Gregory C. Beroza. (2021). Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification. Geophysics. 87(1). R93–R109. 68 indexed citations

Xu, Kailai, Daniel Zhengyu Huang, & Eric Darve. (2021). Learning constitutive relations using symmetric positive definite neural networks. Journal of Computational Physics. 428. 110072–110072. 120 indexed citations

Xu, Kailai, Alexandre M. Tartakovsky, Jeffrey Burghardt, & Eric Darve. (2021). Learning viscoelasticity models from indirect data using deep neural networks. Computer Methods in Applied Mechanics and Engineering. 387. 114124–114124. 44 indexed citations

Xu, Kailai & Eric Darve. (2021). Solving inverse problems in stochastic models using deep neural networks and adversarial training. Computer Methods in Applied Mechanics and Engineering. 384. 113976–113976. 21 indexed citations

Yang, Yinfei, et al.. (2021). A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5825–5832. 8 indexed citations

10.

Huang, Daniel Zhengyu, Kailai Xu, Charbel Farhat, & Eric Darve. (2020). Learning constitutive relations from indirect observations using deep neural networks. Journal of Computational Physics. 416. 109491–109491. 111 indexed citations

11.

Zhu, Weiqiang, Kailai Xu, Eric Darve, & Gregory C. Beroza. (2020). A General Approach to Seismic Inversion with Automatic Differentiation and Neural Networks. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

12.

Xu, Kailai & Eric Darve. (2020). Isogeometric collocation method for the fractional Laplacian in the 2D bounded domain. Computer Methods in Applied Mechanics and Engineering. 364. 112936–112936. 13 indexed citations

13.

Darve, Eric, et al.. (2019). Fast Low-Rank Kernel Matrix Factorization Using Skeletonized Interpolation. SIAM Journal on Scientific Computing. 41(3). A1652–A1680. 7 indexed citations

14.

Xu, Kailai, et al.. (2019). Time-lapse Full Waveform Inversion for Subsurface Flow Problems with Intelligent Automatic Differentiation. arXiv (Cornell University). 1 indexed citations

15.

Huang, Daniel Zhengyu, Kailai Xu, Charbel Farhat, & Eric Darve. (2019). Predictive Modeling with Learned Constitutive Laws from Indirect Observations. arXiv (Cornell University). 11 indexed citations

16.

Lee, Hee Sun, Surl-Hee Ahn, & Eric Darve. (2019). The multi-dimensional generalized Langevin equation for conformational motion of proteins. The Journal of Chemical Physics. 150(17). 174113–174113. 38 indexed citations

17.

Ahn, Surl-Hee, Jay W. Grate, & Eric Darve. (2018). Investigating the role of non-covalent interactions in conformation and assembly of triazine-based sequence-defined polymers. The Journal of Chemical Physics. 149(7). 72330–72330. 8 indexed citations

18.

Ahn, Surl-Hee, Jay W. Grate, & Eric Darve. (2017). Efficiently sampling conformations and pathways using the concurrent adaptive sampling (CAS) algorithm. The Journal of Chemical Physics. 147(7). 74115–74115. 8 indexed citations

19.

Darve, Eric, et al.. (2014). A Fast Sparse Solver for Finite-Element Matrices.. arXiv (Cornell University). 1 indexed citations

20.

Saintillan, David, Eric S. G. Shaqfeh, & Eric Darve. (2005). Hydrodynamic interactions in induced-charge electrophoresis of colloidal rod dispersions. Bulletin of the American Physical Society. 58. 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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