Navid Azizi

1.8k total citations
47 papers, 1.5k citations indexed

About

Navid Azizi is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Navid Azizi has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 23 papers in Electrical and Electronic Engineering and 16 papers in Mechanics of Materials. Recurrent topics in Navid Azizi's work include Membrane Separation and Gas Transport (23 papers), Low-power high-performance VLSI design (13 papers) and Muon and positron interactions and applications (13 papers). Navid Azizi is often cited by papers focused on Membrane Separation and Gas Transport (23 papers), Low-power high-performance VLSI design (13 papers) and Muon and positron interactions and applications (13 papers). Navid Azizi collaborates with scholars based in Iran, Canada and United States. Navid Azizi's co-authors include Toraj Mohammadi, Farid N. Najm, Reza Mosayebi Behbahani, Andreas Moshovos, Mojgan Isanejad, Hamidreza Mahdavi, Reza Mosayyebi Behbahani, Mehran Arzani, Shohreh Azizi and K. Pagiamtzis and has published in prestigious journals such as Journal of Applied Polymer Science, Process Safety and Environmental Protection and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Navid Azizi

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Navid Azizi Iran 23 879 564 334 301 293 47 1.5k
Peng Wu China 26 171 0.2× 1.7k 3.1× 766 2.3× 40 0.1× 159 0.5× 117 2.4k
Dongqi Liu China 18 85 0.1× 437 0.8× 351 1.1× 17 0.1× 65 0.2× 99 1.1k
Dongsheng Ma United States 27 361 0.4× 1.9k 3.4× 261 0.8× 19 0.1× 15 0.1× 137 2.5k
Jingchao Chen China 19 187 0.2× 750 1.3× 305 0.9× 89 0.3× 79 0.3× 78 1.2k
Yingjie Chen China 26 163 0.2× 807 1.4× 705 2.1× 158 0.5× 89 0.3× 112 1.9k
Woosung Choi South Korea 17 730 0.8× 425 0.8× 256 0.8× 16 0.1× 65 0.2× 98 1.4k
Kaixiang Li China 20 280 0.3× 676 1.2× 586 1.8× 30 0.1× 7 0.0× 52 1.4k
Silu Chen China 23 1.1k 1.2× 373 0.7× 435 1.3× 176 0.6× 94 0.3× 136 2.2k
Chaofan Li China 13 107 0.1× 332 0.6× 157 0.5× 12 0.0× 85 0.3× 34 643
Bo Jiang China 18 91 0.1× 1.3k 2.4× 169 0.5× 26 0.1× 31 0.1× 99 1.6k

Countries citing papers authored by Navid Azizi

Since Specialization
Citations

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

Fields of papers citing papers by Navid Azizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Azizi

This figure shows the co-authorship network connecting the top 25 collaborators of Navid Azizi. A scholar is included among the top collaborators of Navid Azizi 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 Navid Azizi. Navid Azizi 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.
Azizi, Navid, et al.. (2023). Enhancing CO2 permeation features of PEBAX-based membrane via incorporating MgO nanoparticles in its polymeric matrix. Materials Today Communications. 34. 105460–105460. 10 indexed citations
2.
Behbahani, Reza Mosayebi, et al.. (2023). A novel ternary mixed‐matrix membrane comprising Pebax‐1657, [HMIM][NTf2] IL, and Al2O3 nanoparticles for efficient CO2 separation. Journal of Applied Polymer Science. 141(2). 2 indexed citations
3.
Behbahani, Reza Mosayebi, et al.. (2023). Enhancing CO2/(light gases) separation performance of Pebax-based mixed-matrix membranes by [BMIM][AC] ionic liquid. Materials Today Communications. 36. 106542–106542. 8 indexed citations
4.
Azizi, Navid, et al.. (2023). A new ternary mixed-matrix membrane (PEBAX/PEG/MgO) to enhance CO2/CH4 and CO2/N2 separation efficiency. Korean Journal of Chemical Engineering. 40(6). 1457–1473. 16 indexed citations
5.
Ahmadi, S.M., Toraj Mohammadi, & Navid Azizi. (2021). Effect of halloysite nanotubes incorporation on morphology and CO2/CH4 separation performance of Pebax-based membranes. Korean Journal of Chemical Engineering. 38(1). 104–113. 16 indexed citations
6.
Azizi, Shohreh, et al.. (2019). Improving CO2/CH4 separation efficiency of Pebax-1657 membrane by adding Al2O3 nanoparticles in its matrix. Journal of Natural Gas Science and Engineering. 72. 103019–103019. 52 indexed citations
7.
Azizi, Shohreh, et al.. (2018). Experimental Study of CO2 and CH4 Permeability Values Through PebaxⓇ-1074/Silica Mixed Matrix Membranes. Silicon. 11(4). 2045–2057. 27 indexed citations
8.
Azizi, Navid, et al.. (2018). Using Pebax-1074/ZIF-7 mixed matrix membranes for separation of CO2 from CH4. Petroleum Science and Technology. 36(13). 993–1000. 21 indexed citations
9.
Mahdavi, Hamidreza, Navid Azizi, & Toraj Mohammadi. (2017). Performance evaluation of a synthesized and characterized Pebax1657/PEG1000/γ-Al2O3 membrane for CO2/CH4 separation using response surface methodology. Journal of Polymer Research. 24(5). 35 indexed citations
10.
Azizi, Navid, et al.. (2017). An intelligent approach to predict gas compressibility factor using neural network model. Neural Computing and Applications. 31(1). 55–64. 49 indexed citations
11.
Azizi, Navid, et al.. (2017). Study of CO2 and CH4 Permeation Properties through Prepared and Characterized Blended Pebax-2533/PEG-200 Membranes. Silicon. 10(4). 1461–1467. 31 indexed citations
12.
Azizi, Navid, et al.. (2017). Separation of CO2 from CH4 using a synthesized Pebax-1657/ZIF-7 mixed matrix membrane. Petroleum Science and Technology. 35(7). 667–673. 19 indexed citations
13.
Azizi, Navid, et al.. (2017). CO2/CH4 separation using prepared and characterized poly (ether-block-amide)/ZIF-8 mixed matrix membranes. Petroleum Science and Technology. 35(9). 869–874. 21 indexed citations
14.
Azizi, Navid, Toraj Mohammadi, & Reza Mosayebi Behbahani. (2016). Synthesis of a new nanocomposite membrane (PEBAX-1074/PEG-400/TiO2) in order to separate CO2 from CH4. Journal of Natural Gas Science and Engineering. 37. 39–51. 88 indexed citations
15.
Bakar, M. Abu, Wei Tan, Navid Azizi, & Noor Hana Hanif Abu Bakar. (2006). Synthesis of modified natural rubber-stabilised silver organosols via liquid-to-liquid transfer techniques.. Journal of Rubber Research. 9(4). 193–203. 4 indexed citations
16.
Azizi, Navid & Farid N. Najm. (2006). A family of cells to reduce the soft-error-rate in ternary-CAM. 779–779. 20 indexed citations
17.
Pagiamtzis, K., Navid Azizi, & Farid N. Najm. (2006). A Soft-Error Tolerant Content-Addressable Memory (CAM) Using An Error-Correcting-Match Scheme. 301–304. 54 indexed citations
18.
Azizi, Navid & Farid N. Najm. (2006). A family of cells to reduce the soft-error-rate in ternary-CAM. Proceedings - ACM IEEE Design Automation Conference. 8 indexed citations
19.
Papaiconomou, C., et al.. (2004). Reassessment of the pathways responsible for cerebrospinal fluid absorption in the neonate. Child s Nervous System. 20(1). 29–36. 52 indexed citations
20.
Azizi, Navid, Farid N. Najm, & Andreas Moshovos. (2003). Low-leakage asymmetric-cell SRAM. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 11(4). 701–715. 87 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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