Hadi Hajibeygi

5.0k total citations · 4 hit papers
115 papers, 3.8k citations indexed

About

Hadi Hajibeygi is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, Hadi Hajibeygi has authored 115 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computational Theory and Mathematics, 57 papers in Computational Mechanics and 49 papers in Mechanics of Materials. Recurrent topics in Hadi Hajibeygi's work include Advanced Mathematical Modeling in Engineering (58 papers), Advanced Numerical Methods in Computational Mathematics (53 papers) and Composite Material Mechanics (34 papers). Hadi Hajibeygi is often cited by papers focused on Advanced Mathematical Modeling in Engineering (58 papers), Advanced Numerical Methods in Computational Mathematics (53 papers) and Composite Material Mechanics (34 papers). Hadi Hajibeygi collaborates with scholars based in Netherlands, United States and Switzerland. Hadi Hajibeygi's co-authors include Patrick Jenny, M. Ţene, Maartje Boon, Hamdi A. Tchelepi, Mohammed Al Kobaisi, R. Farajzadeh, Sebastian B.M. Bosma, Martin J. Blunt, C. Vuik and Kayvan Sadeghy and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Hadi Hajibeygi

108 papers receiving 3.7k citations

Hit Papers

Subsurface carbon dioxide and hydrogen storage for a... 2021 2026 2022 2024 2023 2021 2021 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hadi Hajibeygi Netherlands 33 1.5k 1.5k 1.4k 1.3k 1.2k 115 3.8k
Joshua A. White United States 27 973 0.6× 839 0.6× 929 0.7× 671 0.5× 299 0.2× 77 2.7k
Jihoon Kim United States 21 842 0.6× 445 0.3× 793 0.6× 492 0.4× 219 0.2× 82 2.0k
Denis Voskov United States 27 747 0.5× 881 0.6× 886 0.6× 373 0.3× 272 0.2× 158 2.3k
Matthew T. Balhoff United States 38 1.6k 1.1× 953 0.6× 1.9k 1.3× 643 0.5× 157 0.1× 144 4.1k
Maša Prodanović United States 35 1.9k 1.2× 773 0.5× 1.5k 1.1× 678 0.5× 108 0.1× 151 3.9k
R. Lenormand France 25 1.6k 1.0× 2.1k 1.4× 2.0k 1.4× 1.1k 0.9× 203 0.2× 86 5.4k
Zhaoqin Huang China 34 1.3k 0.8× 780 0.5× 2.1k 1.5× 386 0.3× 200 0.2× 128 3.2k
Bernd Flemisch Germany 22 466 0.3× 749 0.5× 513 0.4× 701 0.5× 360 0.3× 75 1.8k
Gillian Elizabeth Pickup United Kingdom 24 659 0.4× 1.3k 0.9× 837 0.6× 278 0.2× 514 0.4× 123 2.2k
John Killough United States 32 1.4k 1.0× 658 0.4× 2.2k 1.5× 328 0.2× 165 0.1× 161 3.4k

Countries citing papers authored by Hadi Hajibeygi

Since Specialization
Citations

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

Fields of papers citing papers by Hadi Hajibeygi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadi Hajibeygi

This figure shows the co-authorship network connecting the top 25 collaborators of Hadi Hajibeygi. A scholar is included among the top collaborators of Hadi Hajibeygi 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 Hadi Hajibeygi. Hadi Hajibeygi 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.
Hassanpouryouzband, Aliakbar, Eike Marie Thaysen, Sean McMahon, et al.. (2025). The Search for Natural Hydrogen: A Hidden Energy Giant or an Elusive Dream?. ACS Energy Letters. 10(8). 3887–3891. 4 indexed citations
2.
Rahbari, Ahmadreza, Fei Shuang, Panagiotis Krokidas, et al.. (2025). Molecular Simulation of Hydrogen Systems: From Properties and Methods to Applications and Future Directions. Chemical Reviews. 125(24). 11878–12029.
3.
Gerritsma, Marc, et al.. (2025). Algebraic dynamic multilevel (ADM) method for CO2 storage in heterogeneous saline aquifers. Journal of Computational Physics. 539. 114202–114202.
5.
Wang, Yuhang, et al.. (2024). A physics-constraint neural network for CO2 storage in deep saline aquifers during injection and post-injection periods. Advances in Water Resources. 193. 104837–104837. 8 indexed citations
6.
Wang, Yuhang, et al.. (2024). Pore-scale simulation of H2-brine system relevant for underground hydrogen storage: A lattice Boltzmann investigation. Advances in Water Resources. 190. 104756–104756. 14 indexed citations
7.
Voskov, Denis, et al.. (2024). Benchmarking numerical simulation of induced fault slip with semi-analytical solutions. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1). 1 indexed citations
8.
Hajibeygi, Hadi, et al.. (2024). Mutual Diffusivities of Mixtures of Carbon Dioxide and Hydrogen and Their Solubilities in Brine: Insight from Molecular Simulations. Industrial & Engineering Chemistry Research. 63(23). 10456–10481. 10 indexed citations
9.
Hajibeygi, Hadi, et al.. (2024). Three-dimensional multi-physics simulation and sensitivity analysis of cyclic energy storage in salt caverns. International Journal of Hydrogen Energy. 94. 1389–1405. 4 indexed citations
11.
Hajibeygi, Hadi, et al.. (2023). Calculating Thermodynamic Factors for Diffusion Using the Continuous Fractional Component Monte Carlo Method. Journal of Chemical Theory and Computation. 20(1). 333–347. 7 indexed citations
13.
Hernández, Edgar J., et al.. (2023). Experimental and numerical investigation of sandstone deformation under cycling loading relevant for underground energy storage. Journal of Energy Storage. 64. 107198–107198. 28 indexed citations
14.
Chandra, Debanjan, et al.. (2023). Comprehensive review of geomechanics of underground hydrogen storage in depleted reservoirs and salt caverns. Journal of Energy Storage. 73. 108912–108912. 93 indexed citations
15.
Wang, Yuhang, et al.. (2023). Efficient simulation of CO2 migration dynamics in deep saline aquifers using a multi-task deep learning technique with consistency. Advances in Water Resources. 178. 104494–104494. 12 indexed citations
16.
Wang, Yuhang, Ziliang Zhang, C. Vuik, & Hadi Hajibeygi. (2023). Simulation of CO2 Storage Using a Parameterization Method for Essential Trapping Physics: FluidFlower Benchmark Study. Transport in Porous Media. 151(5). 1053–1070. 8 indexed citations
17.
Wang, Luyu, Yuhang Wang, C. Vuik, & Hadi Hajibeygi. (2022). Accurate modeling and simulation of seepage in 3D heterogeneous fractured porous media with complex structures. Computers and Geotechnics. 150. 104923–104923. 16 indexed citations
18.
Blunt, Martin J., et al.. (2021). Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media. Scientific Reports. 11(1). 8348–8348. 199 indexed citations breakdown →
19.
Farajzadeh, R., et al.. (2021). Contact angle measurement for hydrogen/brine/sandstone system using captive-bubble method relevant for underground hydrogen storage. Advances in Water Resources. 154. 103964–103964. 193 indexed citations breakdown →
20.
Møyner, Olav, et al.. (2016). The multiscale restriction smoothed basis method for fractured porous media (F-MsRSB). Journal of Computational Physics. 318. 36–57. 62 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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