Ibrar Ali Shah

593 total citations
40 papers, 405 citations indexed

About

Ibrar Ali Shah is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ibrar Ali Shah has authored 40 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Ibrar Ali Shah's work include Mobile Ad Hoc Networks (7 papers), Cooperative Communication and Network Coding (6 papers) and IoT and Edge/Fog Computing (5 papers). Ibrar Ali Shah is often cited by papers focused on Mobile Ad Hoc Networks (7 papers), Cooperative Communication and Network Coding (6 papers) and IoT and Edge/Fog Computing (5 papers). Ibrar Ali Shah collaborates with scholars based in Pakistan, Saudi Arabia and United Kingdom. Ibrar Ali Shah's co-authors include Sadaqat Jan, Imran Khan, Ghulam Hafeez, Muhammad Ali Shah, Duck-Gyu Lee, Shin Hur, Farrukh Aslam Khan, Abdelouahid Derhab, W.J.P. van Enckevort and Elias Vlieg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Applied Energy.

In The Last Decade

Ibrar Ali Shah

35 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrar Ali Shah Pakistan 12 243 76 66 57 40 40 405
Chao Wei China 13 353 1.5× 82 1.1× 132 2.0× 67 1.2× 123 3.1× 48 520
Yunfan Zhang China 13 459 1.9× 80 1.1× 147 2.2× 34 0.6× 83 2.1× 47 672
Dachuan Liu China 14 117 0.5× 87 1.1× 41 0.6× 15 0.3× 43 1.1× 27 537
Wei Dang China 11 254 1.0× 45 0.6× 48 0.7× 21 0.4× 44 1.1× 19 490
Siva Yellampalli India 10 205 0.8× 99 1.3× 86 1.3× 113 2.0× 15 0.4× 86 475
Jiaping Yang Singapore 12 137 0.6× 96 1.3× 53 0.8× 31 0.5× 97 2.4× 53 610
Zhiheng Liu China 15 348 1.4× 62 0.8× 75 1.1× 61 1.1× 71 1.8× 66 593
Run Chen China 12 133 0.5× 107 1.4× 34 0.5× 115 2.0× 44 1.1× 23 428
Vijay Katkar India 15 224 0.9× 199 2.6× 42 0.6× 91 1.6× 11 0.3× 44 707
C. S. Boopathi India 15 343 1.4× 57 0.8× 17 0.3× 89 1.6× 65 1.6× 40 541

Countries citing papers authored by Ibrar Ali Shah

Since Specialization
Citations

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

Fields of papers citing papers by Ibrar Ali Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrar Ali Shah. 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 Ibrar Ali Shah. The network helps show where Ibrar Ali Shah may publish in the future.

Co-authorship network of co-authors of Ibrar Ali Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrar Ali Shah. A scholar is included among the top collaborators of Ibrar Ali Shah 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 Ibrar Ali Shah. Ibrar Ali Shah 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.
Shah, Ibrar Ali, et al.. (2025). Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review. Sensors. 25(3). 687–687.
3.
Shah, Ibrar Ali, Muhammad Imran, Fayyaz Hussain, et al.. (2024). Theoretical insight into physical characteristics of lead-free perovskites Rb2TlSbX6 (X = Cl, Br, I) for optoelectronic devices. Journal of Molecular Modeling. 30(9). 299–299. 6 indexed citations
4.
Shah, Ibrar Ali, et al.. (2024). Energy-Efficient Task Scheduling Using Fault Tolerance Technique for IoT Applications in Fog Computing Environment. IEEE Internet of Things Journal. 11(24). 39009–39019. 4 indexed citations
5.
Shah, Ibrar Ali, Muhammad Imran, Niaz Ahmad Niaz, et al.. (2024). Correction: Revealing structural, elastic, optoelectronic and thermoelectric properties of lead-free Ba2XTiO6 (X = Hf, Ce, Te) double perovskite for solar cells applications. Journal of Computational Electronics. 23(2). 407–417. 2 indexed citations
6.
Shah, Ibrar Ali, Muhammad Imran, Fayyaz Hussain, et al.. (2024). Exploration of lead-free novel double perovskite halides Na2TlBiX6 (X = Cl, Br, I) for flexible memory devices: Using DFT approach. Materials Chemistry and Physics. 324. 129680–129680. 14 indexed citations
7.
Shah, Ibrar Ali, Muhammad Imran, Niaz Ahmad Niaz, et al.. (2024). Revealing structural, elastic, optoelectronic and thermoelectric properties of lead-free Ba2XTiO6 (X = Hf, Ce, Te) double perovskite for solar cells applications. Journal of Computational Electronics. 23(2). 396–406. 11 indexed citations
8.
Shah, Ibrar Ali, Muhammad Ali Imran, Fayyaz Hussain, et al.. (2024). First-principles study of structural, mechanical, optoelectronic and thermoelectric properties of lead-free Cs2BSnX6 (B = Mg, Cu; X = Cl, Br, I) for photo responsive RRAM devices. Optical and Quantum Electronics. 56(8). 4 indexed citations
9.
Shah, Ibrar Ali, et al.. (2023). A Robust Deep Learning-Based Approach for Detection of Breast Cancer from Histopathological Images. SHILAP Revista de lepidopterología. 313–313. 1 indexed citations
10.
Ullah, Atta, et al.. (2021). Systematic performance, and Security evaluation of .NET models for accessing database. VFAST Transactions on Software Engineering. 9(4). 18–24. 1 indexed citations
11.
Hafeez, Ghulam, Imran Khan, Sadaqat Jan, et al.. (2021). A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid. Applied Energy. 299. 117178–117178. 90 indexed citations
13.
Ali, Sajjad, et al.. (2020). An Optimal Energy Optimization Strategy for Smart Grid Integrated with Renewable Energy Sources and Demand Response Programs. Energies. 13(21). 5718–5718. 35 indexed citations
14.
Mahmood, Mohammad Abbas, Sadaqat Jan, Ibrar Ali Shah, & Imran Khan. (2016). Growth Parameters for Films of Hydrothermally Synthesized One-Dimensional Nanocrystals of Zinc Oxide. International Journal of Photoenergy. 2016. 1–12. 17 indexed citations
15.
Shah, Muhammad Ali, et al.. (2016). Modal Analysis of a Single-Structure Multiaxis MEMS Gyroscope. Journal of Sensors. 2016. 1–8. 13 indexed citations
16.
Hussain, Babar, et al.. (2013). Cyclostationary-Spectrum Sensing in Cooperative Cognitive Networks. 6(1). 8–13. 2 indexed citations
17.
Khan, Imran, et al.. (2012). PERFORMANCE ANALYSIS OF MAXIMAL RATIO COMBINING (MRC) AND SQUARE LAW COMBINING (SLC), IN ENERGY DETECTOR FOR COGNITIVE RADIO NETWORKS OVER NAKAGAMI FADING CHANNELS. Sindh University Research Journal. 44(4).
18.
Jan, Sadaqat, et al.. (2011). Semantic File Annotation and Retrieval on Mobile Devices. Mobile Information Systems. 7(2). 107–122. 5 indexed citations
19.
Shah, Ibrar Ali, Sadaqat Jan, & Jonathan Loo. (2010). Selfish Flow Games in Non-cooperative Multi-radio Multi-channel Wireless Mesh Networks with Imperfect Information. 2. 219–225. 6 indexed citations
20.
Shah, Ibrar Ali, et al.. (2008). Wet Chemical Etching of Silicon {111}: Autocatalysis in Pit Formation. Journal of The Electrochemical Society. 155(3). J79–J79. 14 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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