Omar Allam

806 total citations
18 papers, 540 citations indexed

About

Omar Allam is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Omar Allam has authored 18 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 4 papers in Automotive Engineering. Recurrent topics in Omar Allam's work include Perovskite Materials and Applications (5 papers), Quantum Dots Synthesis And Properties (5 papers) and Machine Learning in Materials Science (4 papers). Omar Allam is often cited by papers focused on Perovskite Materials and Applications (5 papers), Quantum Dots Synthesis And Properties (5 papers) and Machine Learning in Materials Science (4 papers). Omar Allam collaborates with scholars based in United States, South Korea and Canada. Omar Allam's co-authors include Seung Soon Jang, Ki Chul Kim, Seung Woo Lee, Dong Ha Kim, Edward H. Sargent, Li Na Quan, Heejun Kim, Jiang Tang, Aron Walsh and Zev J. Greenberg and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Chemistry of Materials.

In The Last Decade

Omar Allam

16 papers receiving 533 citations

Peers

Omar Allam

EEE

EOMM

RESE

I. P. Kim Russia

Jiahao Ren China

Swastika Banerjee India

Evan R. Antoniuk United States

Yafeng Deng China

Robert J. Rees Australia

Shuhao Zhang China

Julien Fullenwarth France

Yunqi Shao China

I. P. Kim Russia

Omar Allam

571 ×1.6

EEE

265 ×0.7

137 ×1.8

EOMM

122 ×1.7

54 ×1.0

RESE

Citations per year, relative to Omar Allam Omar Allam (= 1×) peers I. P. Kim

Countries citing papers authored by Omar Allam

Since Specialization

Citations

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

Fields of papers citing papers by Omar Allam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Allam

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Allam. A scholar is included among the top collaborators of Omar Allam 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 Omar Allam. Omar Allam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Allam, Omar, et al.. (2025). Metal-organic framework HKUST-1 derived CuO integrated reduced graphene oxide@ polyaniline for advanced solar seawater desalination. Inorganic Chemistry Communications. 177. 114380–114380. 4 indexed citations

Allam, Omar & Seung Soon Jang. (2025). Molecular Insights into Lithium-Ion Coordination and Morphology in Carbonate Polymer Electrolytes. Chemistry of Materials. 37(17). 6574–6584.

Allam, Omar, et al.. (2024). Unveiling Competitive Adsorption in TiO₂ Photocatalysis through Machine-Learning-Accelerated Molecular Dynamics, DFT, and Experimental Methods. ACS Applied Materials & Interfaces. 16(28). 36215–36223. 16 indexed citations

Hidalgo, Juanita, Omar Allam, Jonghee Yang, et al.. (2024). Bromine Incorporation Affects Phase Transformations and Thermal Stability of Lead Halide Perovskites. Journal of the American Chemical Society. 146(27). 18576–18585. 8 indexed citations

Allam, Omar, Hyungju Ahn, Andrew H. Proppe, et al.. (2023). Steric Effects in Ruddlesden–Popper Blue Perovskites for High Quantum Efficiency. Advanced Optical Materials. 11(10). 4 indexed citations

Oh, Jin Woo, Seokyeong Lee, Hyowon Han, et al.. (2023). Dual-light emitting 3D encryption with printable fluorescent-phosphorescent metal-organic frameworks. Light Science & Applications. 12(1). 226–226. 47 indexed citations

Mota, Filipe Marques, et al.. (2022). Practicality assessment: Temperature-governed performance of CO2-containing Li–O2 batteries. Chemical Engineering Journal. 449. 137744–137744. 5 indexed citations

Allam, Omar, et al.. (2022). Uncovering Molecular Structure – Redox Potential Relationships for Organic Electrode Materials: A Hybrid DFT – Machine Learning Approach. ECS Meeting Abstracts. MA2022-02(2). 165–165. 1 indexed citations

Allam, Omar, et al.. (2022). Optimal high-throughput virtual screening pipeline for efficient selection of redox-active organic materials. iScience. 26(1). 105735–105735. 4 indexed citations

10.

Allam, Omar, Kyungbin Lee, Jeonghoon Lim, et al.. (2022). Carbon Quantum Dot Modified Reduced Graphene Oxide Framework for Improved Alkali Metal Ion Storage Performance. Small. 18(35). e2202898–e2202898. 19 indexed citations

11.

Allam, Omar, et al.. (2022). Covalent organic frameworks: Design and applications in electrochemical energy storage devices. InfoMat. 4(6). 64 indexed citations

12.

Allam, Omar, et al.. (2021). DFT-Machine Learning Approach for Accurate Prediction of pK_a. The Journal of Physical Chemistry A. 125(39). 8712–8722. 20 indexed citations

13.

Allam, Omar, Heejun Kim, Li Na Quan, et al.. (2021). Lead-free halide double perovskites: Toward stable and sustainable optoelectronic devices. Materials Today. 49. 123–144. 115 indexed citations

14.

Allam, Omar, et al.. (2020). Molecular structure–redox potential relationship for organic electrode materials: density functional theory–Machine learning approach. Materials Today Energy. 17. 100482–100482. 42 indexed citations

15.

Allam, Omar, Han Seul Kim, Ji Il Choi, et al.. (2020). Spectral Instability of Layered Mixed Halide Perovskites Results from Anion Phase Redistribution and Selective Hole Injection. ACS Nano. 15(1). 1486–1496. 23 indexed citations

16.

Allam, Omar, et al.. (2019). Articial Neural Networks for Accurate Prediction and Analysis of Perovskite Bandgaps. ECS Meeting Abstracts. MA2019-02(54). 2345–2345.

17.

Allam, Omar, et al.. (2018). Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries. RSC Advances. 8(69). 39414–39420. 137 indexed citations

18.

Allam, Omar, et al.. (2018). Density Functional Theory – Machine Learning Approach to Analyze the Bandgap of Elemental Halide Perovskites and Ruddlesden‐Popper Phases. ChemPhysChem. 19(19). 2559–2565. 31 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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