Serveh Kamrava

1.0k citations

21 papers · 797 indexed · 1 hit paper · h-index 15

Co-authors: Pejman Tahmasebi Muhammad Sahimi Tao Bai Fadwa Eljack Mahmoud M. El‐Halwagi Kerron J. Gabriel Felipe P. J. de Barros Keyu Liu
Topics: Enhanced Oil Recovery Techniques (8 papers)Hydrocarbon exploration and reservoir analysis (4 papers)Advanced Neural Network Applications (3 papers)
Cited by: Ocean Engineering Environmental Engineering Mechanics of Materials
Journals: SHILAP Revista de lepidopterologíaActa Materialia Geophysical Research Letters
Partner nations: United States United Kingdom China

In The Last Decade

Serveh Kamrava

20 papers receiving 784 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.

Machine learning in geo- and environmental sciences: From small to large scale

2020 210 citations Pejman Tahmasebi, Serveh Kamrava et al. Advances in Water Resources profile →

Peers

Countries citing papers authored by Serveh Kamrava

Since Specialization

Citations

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

Fields of papers citing papers by Serveh Kamrava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serveh Kamrava

This figure shows the co-authorship network connecting the top 25 collaborators of Serveh Kamrava. A scholar is included among the top collaborators of Serveh Kamrava 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 Serveh Kamrava. Serveh Kamrava 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

#	Work	Indexed citations
1	Integrating molecular dynamics and machine learning to predict hydrogen–brine interfacial tension for subsurface storage 2026 ·International Journal of Hydrogen Energy ·(unknown),Serveh Kamrava	0
2	Inverse design of microstructures using conditional continuous normalizing flows 2025 ·Acta Materialia ·(unknown),Serveh Kamrava	5
3	Elastic constants from charge density distribution in FCC high-entropy alloys using CNN and DFT 2024 ·SHILAP Revista de lepidopterología ·(unknown),Ramin Soltanmohammadi,(unknown),J. FISCHER,Serveh Kamrava,Pejman Tahmasebi,Dilpuneet S. Aidhy	2
4	Estimation of internal states in a Li-ion battery using BiLSTM with Bayesian hyperparameter optimization 2023 ·Journal of Energy Storage ·(unknown),Serveh Kamrava	19
5	An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features 2023 ·Fuel ·Yuqi Wu,Senyou An,Pejman Tahmasebi,Keyu Liu,Chengyan Lin,Serveh Kamrava,(unknown),(unknown),Tao Zhang,Shuyu Sun,Samuel Krevor,Vahid Niasar	16
6	Modeling the physical properties of hydrate‐bearing sediments: Considering the effects of occurrence patterns 2023 ·Energy ·Yuqi Wu,Pejman Tahmasebi,Keyu Liu,Chengyan Lin,Serveh Kamrava,(unknown),(unknown),(unknown),(unknown),Senyou An	22
7	Effect of Wettability on Two-Phase Flow Through Granular Porous Media: Fluid Rupture and Mechanics of the Media 2023 ·Chemical Engineering Science ·(unknown),Serveh Kamrava,Muhammad Sahimi,Pejman Tahmasebi	16
8	Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook 2023 ·Energy & Fuels ·(unknown),Serveh Kamrava,Pejman Tahmasebi	15
9	End-to-end three-dimensional designing of complex disordered materials from limited data using machine learning 2022 ·Physical review. E ·Serveh Kamrava,(unknown)	8
10	Charge-density based convolutional neural networks for stacking fault energy prediction in concentrated alloys 2022 ·Materialia ·Gaurav Arora,Serveh Kamrava,Pejman Tahmasebi,Dilpuneet S. Aidhy	7
11	Estimating Dispersion Coefficient in Flow Through Heterogeneous Porous Media by a Deep Convolutional Neural Network 2021 ·Geophysical Research Letters ·Serveh Kamrava,(unknown),Felipe P. J. de Barros,Muhammad Sahimi	21
12	Simulating fluid flow in complex porous materials by integrating the governing equations with deep-layered machines 2021 ·npj Computational Materials ·Serveh Kamrava,Muhammad Sahimi,Pejman Tahmasebi	46
13	Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning 2021 ·Journal of Membrane Science ·Serveh Kamrava,Pejman Tahmasebi,Muhammad Sahimi	41
14	Quantifying accuracy of stochastic methods of reconstructing complex materials by deep learning 2020 ·Physical review. E ·Serveh Kamrava,Muhammad Sahimi,Pejman Tahmasebi	23
15	Machine learning in geo- and environmental sciences: From small to large scalebreakdown → 2020 ·Advances in Water Resources ·Pejman Tahmasebi,Serveh Kamrava,Tao Bai,Muhammad Sahimi	210
16	Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm 2019 ·Neural Networks ·Serveh Kamrava,Pejman Tahmasebi,Muhammad Sahimi	83
17	A pore-scale mathematical modeling of fluid-particle interactions: Thermo-hydro-mechanical coupling 2019 ·International journal of greenhouse gas control ·Pejman Tahmasebi,Serveh Kamrava	37
18	Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning 2019 ·Transport in Porous Media ·Serveh Kamrava,Pejman Tahmasebi,Muhammad Sahimi	137
19	Rapid multiscale modeling of flow in porous media 2018 ·Physical review. E ·Pejman Tahmasebi,Serveh Kamrava	46
20	A Multiscale Approach for Geologically and Flow Consistent Modeling 2018 ·Transport in Porous Media ·Pejman Tahmasebi,Serveh Kamrava	12

About Serveh Kamrava

Serveh Kamrava is a scholar working on Ocean Engineering, Metals and Alloys and Environmental Engineering, having authored 21 papers that have together received 797 indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (8 papers), Hydrocarbon exploration and reservoir analysis (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Ocean Engineering (341 citations), Environmental Engineering (177 citations) and Mechanics of Materials (231 citations). Serveh Kamrava has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Pejman Tahmasebi, Muhammad Sahimi, Tao Bai, Fadwa Eljack, Mahmoud M. El‐Halwagi, Kerron J. Gabriel, Felipe P. J. de Barros, Keyu Liu, Chengyan Lin and Yuqi Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Acta Materialia and Geophysical Research Letters.

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