Mona Bavarian

606 total citations
32 papers, 463 citations indexed

About

Mona Bavarian is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mona Bavarian has authored 32 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 14 papers in Biomedical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Mona Bavarian's work include Membrane Separation Technologies (8 papers), Advancements in Solid Oxide Fuel Cells (6 papers) and Fuel Cells and Related Materials (6 papers). Mona Bavarian is often cited by papers focused on Membrane Separation Technologies (8 papers), Advancements in Solid Oxide Fuel Cells (6 papers) and Fuel Cells and Related Materials (6 papers). Mona Bavarian collaborates with scholars based in United States, Egypt and India. Mona Bavarian's co-authors include Siamak Nejati, Masoud Soroush, Ioannis G. Kevrekidis, Jay B. Benziger, Arun M. Isloor, Daeyeon Lee, Kenneth K. S. Lau, G.P. Syed Ibrahim, Ahmad Arabi Shamsabadi and Yuriy Y. Smolin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and ACS Applied Materials & Interfaces.

In The Last Decade

Mona Bavarian

31 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Bavarian United States 13 183 172 153 146 131 32 463
Shengkai Liu China 11 87 0.5× 177 1.0× 115 0.8× 116 0.8× 70 0.5× 30 442
Kangcheng Chen China 12 183 1.0× 99 0.6× 116 0.8× 127 0.9× 141 1.1× 31 438
Liwei Shen China 18 241 1.3× 347 2.0× 58 0.4× 119 0.8× 85 0.6× 40 832
Nobuo Hara Japan 11 215 1.2× 282 1.6× 145 0.9× 100 0.7× 106 0.8× 30 627
Patrick de Wit Netherlands 9 159 0.9× 159 0.9× 80 0.5× 95 0.7× 320 2.4× 15 565
Wanqin Jin China 13 166 0.9× 99 0.6× 144 0.9× 194 1.3× 45 0.3× 33 445
Shichao Tian China 11 130 0.7× 285 1.7× 139 0.9× 116 0.8× 165 1.3× 24 572
Chenyang Lu China 15 251 1.4× 50 0.3× 134 0.9× 69 0.5× 80 0.6× 39 492
Zhihong Fan China 11 97 0.5× 136 0.8× 134 0.9× 54 0.4× 57 0.4× 19 383
Jiangquan Ma China 17 275 1.5× 226 1.3× 104 0.7× 53 0.4× 314 2.4× 49 652

Countries citing papers authored by Mona Bavarian

Since Specialization
Citations

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

Fields of papers citing papers by Mona Bavarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Bavarian

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Bavarian. A scholar is included among the top collaborators of Mona Bavarian 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 Mona Bavarian. Mona Bavarian 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.
Bavarian, Mona, et al.. (2025). Design of Supported Ionic Liquid Membranes for CO2 Capture Using a Generative AI-Based Approach. Industrial & Engineering Chemistry Research. 64(8). 4439–4449. 6 indexed citations
2.
Firouzjaei, Mostafa Dadashi, Ahmad Arabi Shamsabadi, Yaşar Demi̇rel, et al.. (2024). Wearable Textile Supercapacitors: Material Advancements and Applications. Journal of Energy Storage. 99. 113228–113228. 16 indexed citations
3.
Shamsabadi, Ahmad Arabi, et al.. (2024). MXenes in solid-state batteries: Current status and outlook. Journal of Power Sources. 610. 234721–234721. 9 indexed citations
4.
Voigt, J., et al.. (2024). Flexible Solid Electrolytes from Two-Dimensional Metal Carbide, Polymer, and Ionic Covalent Organic Frameworks. ACS Applied Engineering Materials. 3(1). 64–74.
5.
El‐Harairy, Ahmed, et al.. (2024). Carbon Dioxide Adsorption within Porous Porphyrin Networks. ACS Applied Engineering Materials. 2(7). 1743–1747. 1 indexed citations
6.
Murray, Scott A, Krishnamoorthy Rajavel, Suprem R. Das, et al.. (2024). Ultrabroadband Optical Properties of 2D Titanium Carbide MXene. ACS Applied Materials & Interfaces. 16(51). 70763–70773. 8 indexed citations
7.
Bavarian, Mona, et al.. (2024). Enhancing Polymer Reaction Engineering Through the Power of Machine Learning. 3. 367–372. 2 indexed citations
8.
Bavarian, Mona, et al.. (2023). Machine learning approach to polymer reaction engineering: Determining monomers reactivity ratios. Polymer. 275. 125866–125866. 18 indexed citations
9.
Shamsabadi, Ahmad Arabi, et al.. (2023). Coupling ATR-FTIR spectroscopy with multivariate analysis for polymers manufacturing and control of polymers’ molecular weight. SHILAP Revista de lepidopterología. 7. 100089–100089. 2 indexed citations
10.
Shamsabadi, Ahmad Arabi, et al.. (2023). Emperor's new clothes: Novel textile-based supercapacitors using sheep wool fiber as electrode substrate. 3. 100014–100014. 9 indexed citations
11.
Shamsabadi, Ahmad Arabi, Mostafa Dadashi Firouzjaei, Mark Ellıott, et al.. (2023). Metal Ions Removal from Organic Solvents using MXene-Based Membranes. ACS Applied Engineering Materials. 1(10). 2452–2457. 5 indexed citations
12.
Bavarian, Mona, et al.. (2022). A Machine Learning Framework for Predicting the Glass Transition Temperature of Homopolymers. Industrial & Engineering Chemistry Research. 61(34). 12690–12698. 24 indexed citations
13.
Bavarian, Mona, et al.. (2022). One-Step Synthesis of an Ionic Covalent Organic Polymer for CO2 Capture. ACS Applied Polymer Materials. 4(11). 8021–8025. 9 indexed citations
14.
Nejati, Siamak, et al.. (2021). All-Polymeric Thin-Film Nanocomposite Membrane for Organic Solvent Nanofiltration. ACS Applied Polymer Materials. 3(12). 6040–6044. 6 indexed citations
15.
Bavarian, Mona, et al.. (2020). Fabricating Janus membranes via physicochemical selective chemical vapor deposition. AIChE Journal. 66(11). 11 indexed citations
16.
Isloor, Arun M., et al.. (2020). Poly(Homopiperazine–Amide) Thin-Film Composite Membrane for Nanofiltration of Heavy Metal Ions. ACS Omega. 5(44). 28749–28759. 24 indexed citations
17.
Bavarian, Mona, et al.. (2020). All Dry Bottom‐Up Assembly of Omniphobic Interfaces. Advanced Materials Interfaces. 7(12). 12 indexed citations
18.
Bavarian, Mona, et al.. (2020). Omniphobic Hollow Fiber Membranes for Water Recovery and Desalination. ACS Applied Polymer Materials. 2(8). 3034–3038. 11 indexed citations
19.
Bavarian, Mona, et al.. (2018). Fabrication of Janus Membranes for Desalination of Oil-Contaminated Saline Water. ACS Applied Materials & Interfaces. 10(51). 44871–44879. 91 indexed citations
20.
Bavarian, Mona, Ioannis G. Kevrekidis, Jay B. Benziger, & Masoud Soroush. (2012). Modeling and Bifurcation Analysis of a Coionic Conducting Solid Oxide Fuel Cell. Industrial & Engineering Chemistry Research. 52(9). 3165–3177. 6 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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