Naeem Akhtar

2.9k total citations
151 papers, 2.4k citations indexed

About

Naeem Akhtar is a scholar working on Electrical and Electronic Engineering, Plant Science and Materials Chemistry. According to data from OpenAlex, Naeem Akhtar has authored 151 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 37 papers in Plant Science and 35 papers in Materials Chemistry. Recurrent topics in Naeem Akhtar's work include Electrochemical sensors and biosensors (38 papers), Electrochemical Analysis and Applications (23 papers) and Advanced biosensing and bioanalysis techniques (17 papers). Naeem Akhtar is often cited by papers focused on Electrochemical sensors and biosensors (38 papers), Electrochemical Analysis and Applications (23 papers) and Advanced biosensing and bioanalysis techniques (17 papers). Naeem Akhtar collaborates with scholars based in Pakistan, Saudi Arabia and China. Naeem Akhtar's co-authors include Sherif A. El‐Safty, Mohamed A. Shenashen, Mohammed Y. Emran, Ahmed Faheem, Moataz Mekawy, Hiroshi Kawarada, Muhammad Ashraf, Waleed A. El‐Said, Hesham Khalifa and Mamdouh E. Abdelsalam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Naeem Akhtar

137 papers receiving 2.3k citations

Peers

Naeem Akhtar
О. В. Морозова Russia
Zhen Fang China
Suvardhan Kanchi India
Wenliang Sun China
Aiwu Wang China
Gokana Mohana Rani South Korea
Yongqiang Ma China
Ping Zhao China
Renato S. Freire Brazil
Ling Hu China
О. В. Морозова Russia
Naeem Akhtar
Citations per year, relative to Naeem Akhtar Naeem Akhtar (= 1×) peers О. В. Морозова

Countries citing papers authored by Naeem Akhtar

Since Specialization
Citations

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

Fields of papers citing papers by Naeem Akhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naeem Akhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Naeem Akhtar. A scholar is included among the top collaborators of Naeem Akhtar 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 Naeem Akhtar. Naeem Akhtar 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.
Zhao, Zhihua, et al.. (2025). Machine learning-optimized trimetallic MOF integrated nanofibers for precise detection of p-Nitrophenol in agricultural soil. Chemical Engineering Journal. 509. 161299–161299. 4 indexed citations
2.
Hussain, Ajaz, Abdulraheem S. A. Almalki, Muhammad Tariq, et al.. (2025). Machine learning-guided fabrication of NiO/CoO and CuO/CoO based nanocomposites for high-performance supercapacitors. Materials Chemistry and Physics. 347. 131455–131455.
3.
Akhtar, Naeem, Muhammad Nadeem Arshad, Saleem Ullah, et al.. (2024). A novel methodology for stabilization of silver nanoparticles on cotton, nylon and cotton/nylon fabrics using chitosan and triethyl orthoformate for enhanced and elongated antibacterial performance. International Journal of Biological Macromolecules. 267(Pt 1). 129256–129256. 14 indexed citations
4.
Elsharkawy, Eman Ramadan, et al.. (2024). Design and fabrication of machine learning trained silver nanoparticles-infused multi-walled carbon nanotube-based sensor for antiviral drug monitoring. Microchemical Journal. 203. 110921–110921. 14 indexed citations
5.
Zhao, Zhihua, et al.. (2024). Sensitive detection of bisphenol A and S in plastic-packaged frozen meat using trimetallic MOF-coated electrospun nanofibers. Process Safety and Environmental Protection. 191. 102–111. 7 indexed citations
6.
Nawaz, Muhammad, Tariq Iqbal, Muhammad Mustehsan Bashir, et al.. (2024). Antibiofilm carbon-wrapped copper-nickel nanoparticles loaded amorphous hydrogel accelerated healing of Pseudomonas aeruginosa infected wounds in rat model. Materials Today Communications. 41. 111002–111002. 1 indexed citations
7.
Abbas, Waseem, Manal F. Abou Taleb, Muhammad Mazhar, et al.. (2024). Machine learning trained poly (3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles for precise monitoring of nitrite from pickled vegetables. Food Chemistry. 460(Pt 1). 140395–140395. 9 indexed citations
8.
El‐Said, Waleed A., Deia Abd El‐Hady, Wael Alshitari, et al.. (2024). Sulfur-doped g-C3N4/Polycaprolactone nanofibers based smart sensor for 8-hydroxy-2′-deoxyguanosine biomarker monitoring. Materials Chemistry and Physics. 329. 130120–130120. 4 indexed citations
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11.
El‐Shishtawy, Reda M., et al.. (2023). N-Coordinated cobalt single atom-integrated electrospun nanofibers for an efficient oxygen evolution reaction. New Journal of Chemistry. 47(30). 14177–14184. 18 indexed citations
12.
Al-Tuwaijari, Jamal Mustafa, et al.. (2022). Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification. SHILAP Revista de lepidopterología. 12(1). 19–31. 5 indexed citations
13.
Nawaz, Muhammad Azhar Hayat, et al.. (2022). Multifunctional Smart ZnSe-Nanostructure-Based Fluorescent Aptasensor for the Detection of Ochratoxin A. Biosensors. 12(10). 844–844. 9 indexed citations
14.
Muhammad, Gulzar, Muhammad Aslam, Muhammad Iqbal, et al.. (2022). Enhanced bactericidal and in vivo wound healing potential of biosynthesized zinc oxide nanoparticles from psyllium mucilage. Applied Organometallic Chemistry. 37(1). 12 indexed citations
15.
Asif, Muhammad, Muhammad Nadeem, Muhammad Ehsan Safdar, et al.. (2020). Assessing the Agronomic Consequences of Delayed Removal of Parthenium from Forage Sorghum (Sorghum bicolor). International Journal of Agriculture and Biology. 24(4).
16.
Aziz, Ahsan, et al.. (2019). Impact of mulching materials on weeds dynamics, soil biological properties and lettuce (Lactuca sativa L.) productivity. International Journal of Botany Studies. 4(4). 128–134. 2 indexed citations
17.
Akhtar, Naeem, et al.. (2018). Gene action appraisal for seed yield and related traits in bread wheat.. The Journal of Animal and Plant Sciences. 28(5). 1457–1465. 1 indexed citations
18.
Akhtar, Naeem, et al.. (2011). Estimation of correlation coefficients among seed yield and some quantitative traits in wheat (Triticum aestivum L.). INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES. 9(8). 1–6. 2 indexed citations
19.
Akhtar, Naeem, et al.. (2009). Effect of Trichoderma harzianum and some selected soil amendments on damping off disease of eggplant and tomato. Deakin Research Online (Deakin University). 7(2). 1 indexed citations
20.
Akhtar, Naeem, et al.. (2007). Response of cotton to plant growth promoting rhizobacteria (PGPR) inoculation under different levels of nitrogen. 39 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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