Rahman Ashena

800 total citations
62 papers, 565 citations indexed

About

Rahman Ashena is a scholar working on Ocean Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Rahman Ashena has authored 62 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Ocean Engineering, 39 papers in Mechanical Engineering and 9 papers in Civil and Structural Engineering. Recurrent topics in Rahman Ashena's work include Drilling and Well Engineering (43 papers), Hydraulic Fracturing and Reservoir Analysis (31 papers) and Oil and Gas Production Techniques (21 papers). Rahman Ashena is often cited by papers focused on Drilling and Well Engineering (43 papers), Hydraulic Fracturing and Reservoir Analysis (31 papers) and Oil and Gas Production Techniques (21 papers). Rahman Ashena collaborates with scholars based in Iran, Malaysia and United States. Rahman Ashena's co-authors include Jamshid Moghadasi, Gerhard Thonhauser, Ali Ghalambor, Vamegh Rasouli, Minou Rabiei, Mohammadreza Kamyab, Muhammad Mubashir, Nima Mohamadian, Azizollah Khormali and David A. Wood and has published in prestigious journals such as Chemosphere, Cement and Concrete Composites and Energies.

In The Last Decade

Rahman Ashena

58 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahman Ashena Iran 12 370 314 103 102 49 62 565
Gbenga Oluyemi United Kingdom 13 410 1.1× 290 0.9× 124 1.2× 75 0.7× 66 1.3× 73 639
Adewale Dosunmu Nigeria 11 438 1.2× 359 1.1× 88 0.9× 117 1.1× 43 0.9× 86 593
Oyinkepreye D. Orodu Nigeria 13 389 1.1× 253 0.8× 146 1.4× 95 0.9× 54 1.1× 72 564
Lihui Zheng China 13 301 0.8× 236 0.8× 145 1.4× 60 0.6× 33 0.7× 47 479
Teslim Olayiwola Saudi Arabia 11 217 0.6× 209 0.7× 94 0.9× 115 1.1× 61 1.2× 17 488
Saeed Khezerloo‐ye Aghdam Iran 12 317 0.9× 265 0.8× 127 1.2× 99 1.0× 39 0.8× 16 504
Mohsen Talebkeikhah Iran 12 250 0.7× 320 1.0× 96 0.9× 71 0.7× 169 3.4× 17 573
Ahmed Gowida Saudi Arabia 11 326 0.9× 256 0.8× 157 1.5× 89 0.9× 27 0.6× 35 481
Sulaiman A. Alarifi Saudi Arabia 13 370 1.0× 293 0.9× 137 1.3× 49 0.5× 30 0.6× 41 521
A. L. Martins Brazil 15 712 1.9× 563 1.8× 79 0.8× 157 1.5× 83 1.7× 118 986

Countries citing papers authored by Rahman Ashena

Since Specialization
Citations

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

Fields of papers citing papers by Rahman Ashena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahman Ashena

This figure shows the co-authorship network connecting the top 25 collaborators of Rahman Ashena. A scholar is included among the top collaborators of Rahman Ashena 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 Rahman Ashena. Rahman Ashena 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.
Alakbari, Fahd Saeed, Mysara Eissa Mohyaldinn, Syed Mohammad Mahmood, et al.. (2024). A Statistics-Based Correlation for the Assessment of Water-Based Mud Performance: Yield Point Prediction. Arabian Journal for Science and Engineering. 50(7). 4927–4942. 1 indexed citations
2.
Ashena, Rahman, et al.. (2023). Statistical analysis of past kicks and blowouts occurred in a Middle Eastern oilfield. Journal of Petroleum Exploration and Production Technology. 13(10). 2063–2082. 3 indexed citations
3.
Ashena, Rahman, et al.. (2022). A Practical Decision Tool to Evaluate and Rank Potential Solutions for Expected Downhole Drilling Problems During the Well-planning Phase. Journal of The Institution of Engineers (India) Series D. 103(1). 25–36. 1 indexed citations
4.
Ashena, Rahman, et al.. (2022). Production Improvement via Optimization of Hydraulic Acid Fracturing Design Parameters in a Tight Carbonate Reservoir. Energies. 15(5). 1947–1947. 7 indexed citations
5.
Behrenbruch, Peter & Rahman Ashena. (2022). Integrated Workflow for Rock Compressibility Modeling and Analysis of Laboratory Core Data. SPE Journal. 28(3). 1149–1164. 1 indexed citations
6.
Ashena, Rahman, et al.. (2022). Wellbore Stability Analysis in an Offshore High-Pressure High-Temperature Gas Field Revealed Lost Times Due to Lack of Well Trajectory Optimization. SPE International Conference and Exhibition on Formation Damage Control. 2 indexed citations
8.
Mubashir, Muhammad, Rahman Ashena, Awais Bokhari, et al.. (2021). Effect of process parameters over carbon-based ZIF-62 nano-rooted membrane for environmental pollutants separation. Chemosphere. 291(Pt 3). 133006–133006. 59 indexed citations
9.
Ashena, Rahman, et al.. (2020). Curing Lost Circulation in Fractured Reservoirs Using a Level-Off Cement Plugging Method- Case Studies in Drilling and Workover Applications. SPE International Conference and Exhibition on Formation Damage Control. 5 indexed citations
10.
11.
Ashena, Rahman, et al.. (2020). Prevention of Core Jamming and Damage During Coring Operations by Optimization of Drilling Parameters – Analysis of Case Studies. SPE International Conference and Exhibition on Formation Damage Control. 3 indexed citations
12.
Ashena, Rahman, et al.. (2020). Prevention of scale in the downhole equipment and productive reservoir during the oil well operation. Istrazivanja i projektovanja za privredu. 19(2). 363–368. 9 indexed citations
13.
Aghaei, Hamed, et al.. (2020). Experimental optimization of a recently developed matrix acid stimulation technology in heterogeneous carbonate reservoirs. Journal of Petroleum Science and Engineering. 196. 108100–108100. 25 indexed citations
14.
Ashena, Rahman, et al.. (2019). Determination of Maximum Allowable Safe-Core-Retrieval Rates. SPE Reservoir Evaluation & Engineering. 22(2). 548–564. 6 indexed citations
15.
Ashena, Rahman, et al.. (2018). Determination of Maximum Allowable Safe Core Retrieval Rates. SPE International Conference and Exhibition on Formation Damage Control. 2 indexed citations
16.
Ashena, Rahman, et al.. (2017). Preserving Shale-gas Core Quality During Tripping-out. Proceedings. 2 indexed citations
17.
Ashena, Rahman & Jamshid Moghadasi. (2011). Bottom hole pressure estimation using evolved neural networks by real coded ant colony optimization and genetic algorithm. Journal of Petroleum Science and Engineering. 77(3-4). 375–385. 59 indexed citations
18.
Ahmadi, Morteza, et al.. (2010). Drilling of Middle-Eastern Reservoir Carbonate Rocks by High Power ND: YAG Laser. IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition. 4 indexed citations
19.
Ashena, Rahman, et al.. (2010). Permeability Prediction of Un-Cored Intervals Using New IMLR Method and Artificial Neural Networks: A Case Study of Bangestan Field, Iran. Nigeria Annual International Conference and Exhibition. 4 indexed citations
20.
Ashena, Rahman, et al.. (2010). Comparison between Bit Optimization Using Artificial Neural Network and Other Methods Base on Log Analysis Applied in Shadegan Oil Field. Proceedings of International Oil and Gas Conference and Exhibition in China. 2 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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