Aqsa Shabbir

749 total citations
38 papers, 183 citations indexed

About

Aqsa Shabbir is a scholar working on Electrical and Electronic Engineering, Civil and Structural Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Aqsa Shabbir has authored 38 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Civil and Structural Engineering and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Aqsa Shabbir's work include Magnetic confinement fusion research (6 papers), Thermal Radiation and Cooling Technologies (4 papers) and solar cell performance optimization (4 papers). Aqsa Shabbir is often cited by papers focused on Magnetic confinement fusion research (6 papers), Thermal Radiation and Cooling Technologies (4 papers) and solar cell performance optimization (4 papers). Aqsa Shabbir collaborates with scholars based in Pakistan, Germany and Belgium. Aqsa Shabbir's co-authors include Ali Hussain Kazim, Muhammad Farooq, Geert Verdoolaege, Muhammad Bilal Khan, Muhammad Salman Abbasi, Muhammad Imran, Qasim Ali, A.E. Atabani, O. Kardaun and Qammer H. Abbasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Aqsa Shabbir

33 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aqsa Shabbir Pakistan 8 56 43 40 38 27 38 183
Sean Wright United States 10 24 0.4× 42 1.0× 19 0.5× 21 0.6× 71 2.6× 16 224
Eytan J. Adler United States 7 10 0.2× 53 1.2× 44 1.1× 41 1.1× 15 0.6× 15 282
Mohammadamin Mahmoudabadbozchelou United States 9 59 1.1× 12 0.3× 122 3.0× 22 0.6× 17 0.6× 11 326
Xing Shen China 9 9 0.2× 22 0.5× 8 0.2× 24 0.6× 17 0.6× 19 329
Ali Karakus Türkiye 7 21 0.4× 11 0.3× 17 0.4× 12 0.3× 4 0.1× 22 212
Mike Tooley United States 7 27 0.5× 59 1.4× 3 0.1× 22 0.6× 14 0.5× 26 178
M. K. Das India 9 213 3.8× 25 0.6× 177 4.4× 34 0.9× 6 0.2× 42 402

Countries citing papers authored by Aqsa Shabbir

Since Specialization
Citations

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

Fields of papers citing papers by Aqsa Shabbir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aqsa Shabbir

This figure shows the co-authorship network connecting the top 25 collaborators of Aqsa Shabbir. A scholar is included among the top collaborators of Aqsa Shabbir 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 Aqsa Shabbir. Aqsa Shabbir 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.
Tahir, Hafiz Muhammad, et al.. (2025). Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan’s resource-limited settings. BMC Health Services Research. 25(1). 1031–1031.
2.
3.
Cimino, Stephanie R., et al.. (2024). A co-design process to develop personalized mobility programming for individuals with mobility impairments. SHILAP Revista de lepidopterología. 5. 1336549–1336549.
4.
Jamshed, Muhammad Ali, et al.. (2024). Tech-Driven Forest Conservation: Combating Deforestation With Internet of Things, Artificial Intelligence, and Remote Sensing. IEEE Internet of Things Journal. 11(14). 24551–24568. 18 indexed citations
5.
Shabbir, Aqsa & Muhammad Zubair. (2024). Interpretable Deep Learning Classifier Using Explainable AI For Non-Small Cell Lung Cancer. 1–6. 2 indexed citations
6.
Shabbir, Aqsa, et al.. (2023). Efficiency boost and financial analysis of the thermophotovoltaic power system by photonic potential. Energy Conversion and Management. 299. 117862–117862. 2 indexed citations
7.
Kayani, Zohra Nazir, et al.. (2023). Probing the impact of Ba on properties of ZnO at the nanoscale: optical, dielectric and antibacterial activity evolution. Physica Scripta. 99(2). 25931–25931. 5 indexed citations
8.
Massimo, Gianmichele, Rayomand S. Khambata, Tara Chapman, et al.. (2023). Natural mutations of human XDH promote the nitrite (NO2−)-reductase capacity of xanthine oxidoreductase: A novel mechanism to promote redox health?. Redox Biology. 67. 102864–102864. 3 indexed citations
9.
10.
Kazim, Ali Hussain, et al.. (2022). Efficiency Enhancement of Thermophotovoltaic Cells With Different Design Configurations Using Existing Photon Recycling Technologies. Frontiers in Energy Research. 10. 2 indexed citations
11.
Kazim, Ali Hussain, et al.. (2020). Efficiency Enhancement of a Thermophotovoltaic System Integrated With a Back Surface Reflector. IEEE Access. 8. 153226–153239. 10 indexed citations
12.
Khan, Muhammad Bilal, Ali Hussain Kazim, Ghulam Moeen Uddin, et al.. (2020). Thermoelectric waste heat recovery of an automotive internal combustion engine using (Na, K) co-doped polycrystalline tin selenide (SnSe). Thermal Science. 25(1 Part A). 407–419. 1 indexed citations
13.
Shabbir, Aqsa, et al.. (2020). Digital Control of Grid-Tied Photovoltaic Micro-Inverters. Electric Power Components and Systems. 48(12-13). 1272–1281. 1 indexed citations
14.
Abbasi, Muhammad Salman, Haroon Farooq, Hassan Ali, et al.. (2020). Deformation of Emulsion Droplet with Clean and Particle-Covered Interface under an Electric Field. Materials. 13(13). 2984–2984. 12 indexed citations
15.
Shabbir, Aqsa, Geert Verdoolaege, G. Hornung, O. Kardaun, & H. Zohm. (2017). Correlation analysis for energy losses, waiting times and durations of type I edge-localized modes in the Joint European Torus. Nuclear Fusion. 57(3). 36026–36026. 2 indexed citations
16.
Shabbir, Aqsa, et al.. (2016). Stability of Feature Ranking Algorithms on Binary Data. 1 indexed citations
17.
Shabbir, Aqsa, et al.. (2016). A classification scheme for edge-localized modes based on their probability distributions. Review of Scientific Instruments. 87(11). 11D404–11D404. 3 indexed citations
18.
Verdoolaege, Geert, Aqsa Shabbir, & G. Hornung. (2016). Robust analysis of trends in noisy tokamak confinement data using geodesic least squares regression. Review of Scientific Instruments. 87(11). 11D422–11D422. 1 indexed citations
19.
Shabbir, Aqsa, et al.. (2014). Visualization of the operational space of edge-localized modes through low-dimensional embedding of probability distributions. Review of Scientific Instruments. 85(11). 11E819–11E819. 5 indexed citations
20.
Shabbir, Aqsa, Geert Verdoolaege, & G. Van Oost. (2013). Multivariate texture discrimination based on geodesics to class centroids on a generalized Gaussian Manifold. Lecture notes in computer science. 8085. 853–860. 2 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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