Eric Darve
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- Electromagnetic Scattering and Analysis 36
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 10
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- Model Reduction and Neural Networks 10
- Computational Mathematics top 5%
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics 11
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- Electromagnetic Simulation and Numerical Methods 22
- Electromagnetic Compatibility and Measurements 11
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- Matrix Theory and Algorithms 19
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- Protein Structure and Dynamics 9
- Co-authors
- Andrew PohorilleDavid Rodríguez‐GómezKailai XuEric S. G. ShaqfehDavid SaintillanSivaram AmbikasaranWilliam FongDaniel Zhengyu Huang
- Cited by
- Atomic and Molecular Physics, and OpticsHardware and ArchitectureStatistical and Nonlinear Physics
- Journals
- Journal of Computational Physics (17 papers)International Journal for Numerical Methods in Engineering (8 papers)The Journal of Chemical Physics (8 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Eric Darve
125 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Atomic and Molecular Physics, and Optics 1.6k
- Hardware and Architecture 305
- Statistical and Nonlinear Physics 534
- Computational Mathematics 23
- Computational Mechanics 671
Countries citing papers authored by Eric Darve
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
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
The 25 scholars most cited alongside Eric Darve, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 120 | |
| 5 | 2021 | 44 | |
| 6 | 2021 | 21 | |
| 7 | ADCME MPI: Distributed Machine Learning for Computational Engineering. | 2021 | 1 |
| 8 | 2021 | 68 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 111 | |
| 11 | 2020 | 13 | |
| 12 | A General Approach to Seismic Inversion with Automatic Differentiation and Neural Networks | 2020 | 1 |
| 13 | 2019 | 38 | |
| 14 | Time-lapse Full Waveform Inversion for Subsurface Flow Problems with Intelligent Automatic Differentiation | 2019 | 1 |
| 15 | Predictive Modeling with Learned Constitutive Laws from Indirect Observations | 2019 | 11 |
| 16 | 2019 | 7 | |
| 17 | 2018 | 8 | |
| 18 | 2017 | 8 | |
| 19 | A Fast Sparse Solver for Finite-Element Matrices. | 2014 | 1 |
| 20 | 2009 | 103 |
About Eric Darve
Eric Darve is a scholar working on Atomic and Molecular Physics, and Optics, Hardware and Architecture and Computational Theory and Mathematics, having authored 131 papers that have together received 5.3k indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (36 papers), Electromagnetic Simulation and Numerical Methods (22 papers), Matrix Theory and Algorithms (19 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Electromagnetic Compatibility and Measurements (11 papers), Model Reduction and Neural Networks (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Hardware and Architecture (305 citations) and Statistical and Nonlinear Physics (534 citations). Eric Darve has collaborated with scholars based in United States, Japan and France. Frequent 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. Their work appears in journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering, The Journal of Chemical Physics, SIAM Journal on Scientific Computing and Advances in Water Resources.
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.