Sumaira Naeem

1.0k total citations
48 papers, 769 citations indexed

About

Sumaira Naeem is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Sumaira Naeem has authored 48 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 15 papers in Electrical and Electronic Engineering and 13 papers in Polymers and Plastics. Recurrent topics in Sumaira Naeem's work include Machine Learning in Materials Science (9 papers), Conducting polymers and applications (9 papers) and Organic Electronics and Photovoltaics (8 papers). Sumaira Naeem is often cited by papers focused on Machine Learning in Materials Science (9 papers), Conducting polymers and applications (9 papers) and Organic Electronics and Photovoltaics (8 papers). Sumaira Naeem collaborates with scholars based in Pakistan, Saudi Arabia and China. Sumaira Naeem's co-authors include M. Mumtaz, K. Nadeem, Ilse Letofsky‐Papst, M. Anis-ur-Rehman, Saqib Rahman, Mir Waqas Alam, Shahid Bashir, K. Ramesh, Basma Souayeh and Yin Yin Teo and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Chemical Physics Letters.

In The Last Decade

Sumaira Naeem

38 papers receiving 746 citations

Peers

Sumaira Naeem
Sumaira Naeem
Citations per year, relative to Sumaira Naeem Sumaira Naeem (= 1×) peers Pooja Rawat

Countries citing papers authored by Sumaira Naeem

Since Specialization
Citations

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

Fields of papers citing papers by Sumaira Naeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumaira Naeem

This figure shows the co-authorship network connecting the top 25 collaborators of Sumaira Naeem. A scholar is included among the top collaborators of Sumaira Naeem 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 Sumaira Naeem. Sumaira Naeem 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
2.
Ahmad, Farooq, et al.. (2025). Examining the Relationship between Synthetic Accessibility and Efficiency in Organic Solar Cells: A Statistical Analysis. ACS Applied Energy Materials. 8(7). 4484–4493. 1 indexed citations
3.
Alzahrani, Fatimah Mohammed A., Jawayria Najeeb, Sumaira Naeem, et al.. (2024). Computational design of new polymers having low exciton binding energy for organic solar cells fabrication: Chemical generation and visualization. Journal of Photochemistry and Photobiology A Chemistry. 450. 115457–115457. 5 indexed citations
4.
Hassan, Abrar U., Syed Shoaib Ahmad Shah, Hala M. Abo‐Dief, et al.. (2024). Polymer design using machine learning: A quest for high glass transition temperature. Synthetic Metals. 307. 117659–117659. 7 indexed citations
5.
Mahmood, Asif, Sumaira Naeem, Zunaira Shafiq, et al.. (2024). Chemical similarity-based design of materials for organic solar cells: Visualizing the generated chemical space of polymers. Materials Today Communications. 38. 108403–108403. 29 indexed citations
6.
Soliman, Mohamed Mohamed, et al.. (2024). Design of polymers with higher atomization energy with help of machine learning and chemical space generation. Materials Today Communications. 41. 111045–111045. 1 indexed citations
8.
Katubi, Khadijah Mohammedsaleh, Syed Shoaib Ahmad Shah, Sumaira Naeem, et al.. (2024). A systematic approach to generate polymer library: A search for polymers with high dipole moment. Chemical Physics Letters. 850. 141450–141450.
9.
Hussain, Ejaz, et al.. (2024). Polymer design with enhanced crystallization tendency aided by machine learning. Physica B Condensed Matter. 694. 416437–416437.
10.
Fu, Tao, Ning Pan, Sumaira Naeem, & Xiao‐Hua Ma. (2024). Antibacterial sol-gel AgMnFe2O4 composite coatings added with degradable MgO. Journal of Sol-Gel Science and Technology. 111(2). 650–658.
11.
Alzahrani, Fatimah Mohammed A., et al.. (2024). Chemical library generation of polymer acceptors for organic solar cells with higher electron affinity. Computational Materials Science. 239. 112984–112984. 3 indexed citations
13.
Basha, Beriham, Tayyaba Mubashir, Mudassir Hussain Tahir, et al.. (2023). Designing of novel organic semiconductors materials for organic solar cells: A machine learning assisted proficient pipeline. Inorganic Chemistry Communications. 153. 110818–110818. 9 indexed citations
14.
Bhutto, Jameel Ahmed, et al.. (2023). Data driven analysis of aromatase inhibitors through machine learning, database mining and library generation. Chemical Physics. 577. 112143–112143. 2 indexed citations
15.
Naeem, Sumaira, Tayyaba Mubashir, Jawayria Najeeb, et al.. (2023). Search of electron-rich and electron-deficient building blocks through data mining and library generation for the designing of polymers for organic solar cells. Journal of Photochemistry and Photobiology A Chemistry. 448. 115348–115348. 6 indexed citations
16.
Katubi, Khadijah Mohammedsaleh, Sumaira Naeem, Muhammad Yasir Mehboob, Z.A. Alrowaili, & M.S. Al-Buriahi. (2023). A data mining assisted designing of quinoxaline-based small molecule acceptors for photovoltaic applications and quantum chemical calculations assisted molecular characterization. Chemical Physics Letters. 813. 140326–140326. 8 indexed citations
17.
Ahmad, Farooq, Jawayria Najeeb, Sumaira Naeem, et al.. (2023). Machine learning assisted designing of Indacenodithiophene (IDT)-based polymers for future application of photoacoustic imaging. Journal of Photochemistry and Photobiology A Chemistry. 447. 115215–115215. 2 indexed citations
18.
Rafique, Hummera, et al.. (2023). Synthesis of amino acids-functionalized iron oxide nanoparticles for response surface methodology-based statistical optimization of photocatalytic degradation of methylene blue. International Journal of Environmental Science and Technology. 21(3). 2489–2504. 7 indexed citations
19.
Khalid, N.R., Faisal Ali, Muhammad Bilal Tahir, et al.. (2022). Synergistic effects of Bi and N doped on ZnO nanorods for efficient photocatalysis. Materials Chemistry and Physics. 289. 126423–126423. 36 indexed citations
20.
Raza, Muhammad Asam, Sumaira Naeem, Mir Waqas Alam, et al.. (2022). Extraction of Bioactive Compounds for Antioxidant, Antimicrobial, and Antidiabetic Applications. Molecules. 27(18). 5935–5935. 21 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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