Behnam Sedaee

1.1k total citations · 1 hit paper
53 papers, 827 citations indexed

About

Behnam Sedaee is a scholar working on Ocean Engineering, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Behnam Sedaee has authored 53 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ocean Engineering, 35 papers in Mechanical Engineering and 19 papers in Environmental Engineering. Recurrent topics in Behnam Sedaee's work include Hydraulic Fracturing and Reservoir Analysis (28 papers), Reservoir Engineering and Simulation Methods (24 papers) and Enhanced Oil Recovery Techniques (24 papers). Behnam Sedaee is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (28 papers), Reservoir Engineering and Simulation Methods (24 papers) and Enhanced Oil Recovery Techniques (24 papers). Behnam Sedaee collaborates with scholars based in Iran, Canada and Indonesia. Behnam Sedaee's co-authors include Mahdi Kanaani, Sina Sadeghi, Mohammad Mohammadi‐Khanaposhtani, Peyman Pourafshary, Mohammad Reza Rasaei, Ali Nakhaee, Mohammad Emami Niri, Alireza Bahramian, Somayeh Panahi and Fatemeh Daneshfar and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Hydrogen Energy and Energy.

In The Last Decade

Behnam Sedaee

47 papers receiving 795 citations

Hit Papers

Role of Cushion Gas on Underground Hydrogen Storage in De... 2021 2026 2022 2024 2021 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
Behnam Sedaee Iran 14 414 397 327 270 213 53 827
Mohamed Mehana United States 18 303 0.7× 343 0.9× 397 1.2× 225 0.8× 349 1.6× 87 927
Chico Sambo Malaysia 9 189 0.5× 253 0.6× 219 0.7× 196 0.7× 214 1.0× 16 616
Hossein Emadi United States 19 361 0.9× 596 1.5× 670 2.0× 247 0.9× 521 2.4× 84 1.3k
Prashant Jadhawar United Kingdom 13 273 0.7× 207 0.5× 232 0.7× 205 0.8× 220 1.0× 34 585
Chaobin Guo China 13 309 0.7× 365 0.9× 149 0.5× 144 0.5× 131 0.6× 29 667
Saeed Mahmoodpour Germany 16 466 1.1× 266 0.7× 256 0.8× 174 0.6× 170 0.8× 29 698
Fangxuan Chen United States 13 163 0.4× 211 0.5× 278 0.9× 86 0.3× 195 0.9× 27 537
Youngsoo Lee South Korea 15 177 0.4× 275 0.7× 374 1.1× 86 0.3× 280 1.3× 44 757
Mojdeh Rasoulzadeh United States 10 291 0.7× 185 0.5× 82 0.3× 194 0.7× 107 0.5× 21 460
Aaditya Khanal United States 12 164 0.4× 227 0.6× 229 0.7× 74 0.3× 163 0.8× 41 521

Countries citing papers authored by Behnam Sedaee

Since Specialization
Citations

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

Fields of papers citing papers by Behnam Sedaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnam Sedaee

This figure shows the co-authorship network connecting the top 25 collaborators of Behnam Sedaee. A scholar is included among the top collaborators of Behnam Sedaee 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 Behnam Sedaee. Behnam Sedaee 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.
Kanaani, Mahdi, et al.. (2025). Multi-objective optimization of cushion gas design in underground gas storage using machine learning. Results in Engineering. 27. 106659–106659.
2.
Sedaee, Behnam, et al.. (2025). Saturation-functions models in CO2-brine system: A comparative study. 14(2). 35–52. 1 indexed citations
3.
Sedaee, Behnam, et al.. (2025). Numerical investigation of acid diversion using viscoelastic surfactant (VES) under single and two-phase flow conditions. Journal of Petroleum Exploration and Production Technology. 15(2).
5.
Ghodsi, Mohammad, et al.. (2025). Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques. Journal of Petroleum Exploration and Production Technology. 15(4). 1 indexed citations
6.
Sedaee, Behnam, et al.. (2025). Understanding caprock integrity in underground hydrogen storage: A geochemical study of mineral alteration and sealing efficiency. International Journal of Hydrogen Energy. 154. 150300–150300. 3 indexed citations
7.
Sedaee, Behnam, et al.. (2025). Cushion gas replacement on underground gas storage in a naturally fracture aquifer: Cushion gas strategies for matrix-independent storage. Results in Engineering. 26. 105344–105344. 2 indexed citations
8.
Niri, Mohammad Emami, et al.. (2025). UHSNet: Deep learning-based smart proxy modeling for underground hydrogen storage. Energy. 329. 136763–136763. 1 indexed citations
9.
Sarlak, Nahid, et al.. (2025). Enhancing oil recovery with MWCNT and GO nanocomposites in high salinity heterogeneous media. Petroleum Research. 10(3). 577–591. 1 indexed citations
10.
Sedaee, Behnam, et al.. (2024). A comparative analysis of gas mixing during the underground hydrogen storage in a conventional and fractured reservoir. Gas Science and Engineering. 122. 205217–205217. 16 indexed citations
11.
Sharifi, Ahmad, et al.. (2024). Experimental Investigation of Fracture Orientation Effect on Carbonate Matrix Acidizing Using a Visual Micromodel Setup. International Journal of Energy Research. 2024(1).
12.
Sedaee, Behnam, et al.. (2024). Underground compressed air energy storage (CAES) in naturally fractured depleted oil reservoir: Influence of fracture. Geoenergy Science and Engineering. 244. 213496–213496. 3 indexed citations
13.
Rasaei, Mohammad Reza, et al.. (2024). Advancing carbon capture technologies in CCS: A comprehensive review of pre-combustion processes. Gas Science and Engineering. 131. 205481–205481. 13 indexed citations
14.
Sedaee, Behnam, et al.. (2023). Fracture and vug effects on wormhole pattern during acidizing of triple porosity carbonate rocks. Geoenergy Science and Engineering. 232. 212417–212417. 11 indexed citations
15.
16.
Sedaee, Behnam, et al.. (2023). Well placement optimization with a novel swarm intelligence optimization algorithm: Sparrow Search Algorithm. Geoenergy Science and Engineering. 231. 212291–212291. 10 indexed citations
17.
Sedaee, Behnam, et al.. (2023). Effect of different injection fluids scenarios on swelling and migration of common clays in case of permeability variations: a micromodel study. Journal of Petroleum Exploration and Production Technology. 13(8). 1761–1787. 7 indexed citations
18.
Panahi, Somayeh, et al.. (2023). EOR screening using optimized artificial neural network by sparrow search algorithm. Geoenergy Science and Engineering. 229. 212023–212023. 15 indexed citations
19.
Sedaee, Behnam, et al.. (2022). Underground hydrogen storage in a partially depleted gas condensate reservoir: Influence of cushion gas. Journal of Petroleum Science and Engineering. 212. 110304–110304. 115 indexed citations
20.
Sedaee, Behnam, et al.. (2022). Underground hydrogen storage in a naturally fractured gas reservoir: The role of fracture. International Journal of Hydrogen Energy. 47(93). 39606–39618. 53 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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