Muhammad Iqbal

1.1k total citations · 2 hit papers
32 papers, 757 citations indexed

About

Muhammad Iqbal is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Muhammad Iqbal has authored 32 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 12 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Muhammad Iqbal's work include Innovative Energy Harvesting Technologies (11 papers), Energy Harvesting in Wireless Networks (9 papers) and Wireless Power Transfer Systems (5 papers). Muhammad Iqbal is often cited by papers focused on Innovative Energy Harvesting Technologies (11 papers), Energy Harvesting in Wireless Networks (9 papers) and Wireless Power Transfer Systems (5 papers). Muhammad Iqbal collaborates with scholars based in Pakistan, China and Brunei. Muhammad Iqbal's co-authors include Farid Ullah Khan, Malik Muhammad Nauman, Pg Emeroylariffion Abas, Quentin Cheok, Brahim Aïssa, Asif Iqbal, Chengying Zhao, Yuxiong Li, Xianzhen Huang and Izhar Izhar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Access.

In The Last Decade

Muhammad Iqbal

28 papers receiving 740 citations

Hit Papers

IoT-based agriculture man... 2024 2026 2024 2025 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Iqbal Pakistan 14 496 374 264 102 85 32 757
Mohammed Amer Palestinian Territory 16 452 0.9× 224 0.6× 204 0.8× 50 0.5× 114 1.3× 37 1.0k
M Kumar India 12 582 1.2× 315 0.8× 358 1.4× 141 1.4× 92 1.1× 52 957
Rabah Boukhanouf United Kingdom 17 575 1.2× 297 0.8× 128 0.5× 76 0.7× 37 0.4× 50 1.2k
Behrooz M. Ziapour Iran 23 640 1.3× 268 0.7× 122 0.5× 147 1.4× 20 0.2× 50 1.3k
Ashkan Haji Hosseinloo United States 12 222 0.4× 150 0.4× 94 0.4× 126 1.2× 65 0.8× 29 408
Jianguang Li China 18 866 1.7× 477 1.3× 358 1.4× 39 0.4× 71 0.8× 99 1.3k
M. Saravanan India 17 320 0.6× 469 1.3× 151 0.6× 17 0.2× 141 1.7× 90 1.0k
Hongxia Zhao China 22 994 2.0× 148 0.4× 368 1.4× 27 0.3× 29 0.3× 65 1.4k
Chenbo Yin China 16 564 1.1× 374 1.0× 265 1.0× 73 0.7× 534 6.3× 42 1.1k
Hwan‐Sik Yoon United States 16 261 0.5× 247 0.7× 207 0.8× 214 2.1× 196 2.3× 91 865

Countries citing papers authored by Muhammad Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Iqbal. A scholar is included among the top collaborators of Muhammad Iqbal 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 Muhammad Iqbal. Muhammad Iqbal 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.
Naeem, Muhammad, et al.. (2025). IoT-driven smart agricultural technology for real-time soil and crop optimization. Smart Agricultural Technology. 10. 100847–100847. 22 indexed citations breakdown →
2.
Siddiqui, Hafeez Ur Rehman, et al.. (2024). Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors. 24(12). 3754–3754. 4 indexed citations
3.
Liu, Peiyu, et al.. (2024). Cavitation Failure Analysis of Cylinder Liner in Diesel Engines Caused by Increased Combustion Pressure. Journal of Failure Analysis and Prevention. 24(2). 625–638.
4.
Sohaib, Ahmed, et al.. (2024). Milk adulteration identification using hyperspectral imaging and machine learning. Journal of Dairy Science. 108(2). 1301–1314. 13 indexed citations
5.
Iqbal, Muhammad, et al.. (2024). Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle. SHILAP Revista de lepidopterología. 9. 100609–100609. 3 indexed citations
6.
Iqbal, Muhammad, et al.. (2024). IoT-based agriculture management techniques for sustainable farming: A comprehensive review. Computers and Electronics in Agriculture. 220. 108851–108851. 45 indexed citations breakdown →
8.
Iqbal, Muhammad, et al.. (2023). Recent Trends in Cloud Computing and IoT Platforms for IT Management and Development: A Review. SHILAP Revista de lepidopterología. 6(1). 98–105. 9 indexed citations
9.
Iqbal, Muhammad, et al.. (2022). Development and Validation of a Vibration-Based Virtual Sensor for Real-Time Monitoring NOx Emissions of a Diesel Engine. Machines. 10(7). 594–594. 16 indexed citations
10.
Khan, Farid Ullah, et al.. (2022). A Pressure-Based Electromagnetic Energy Harvester for Pipeline Monitoring Applications. Journal of Sensors. 2022. 1–16. 10 indexed citations
11.
Iqbal, Muhammad, et al.. (2022). A Study of Advanced Efficient Hybrid Electric Vehicles, Electric Propulsion and Energy Source. Journal of Power and Energy Engineering. 10(7). 1–12. 6 indexed citations
12.
Iqbal, Muhammad, Malik Muhammad Nauman, Farid Ullah Khan, et al.. (2020). Vibration‐based piezoelectric, electromagnetic, and hybrid energy harvesters for microsystems applications: A contributed review. International Journal of Energy Research. 45(1). 65–102. 145 indexed citations
13.
Wang, Tie, et al.. (2019). Impact of Fischer-Tropsch diesel and methanol blended fuel on diesel engine performance. Thermal Science. 23(5 Part A). 2651–2658. 1 indexed citations
14.
Iqbal, Muhammad, et al.. (2019). Investigation of Accumulator Main Parameters of Hydraulic Excitation System. Journal of Coastal Research. 93(sp1). 613–613. 8 indexed citations
15.
Nauman, Malik Muhammad, et al.. (2019). Slot-Die Coated Active Carbon Films for Hydrogen Storage Applications. Acta Physica Polonica A. 135(4). 705–712. 3 indexed citations
16.
Iqbal, Muhammad & Farid Ullah Khan. (2018). Hybrid vibration and wind energy harvesting using combined piezoelectric and electromagnetic conversion for bridge health monitoring applications. Energy Conversion and Management. 172. 611–618. 190 indexed citations
17.
Iqbal, Muhammad, et al.. (2018). Electromagnetic Bridge Energy Harvester Utilizing Bridge’s Vibrations and Ambient Wind for Wireless Sensor Node Application. Journal of Sensors. 2018. 1–18. 42 indexed citations
18.
Iqbal, Muhammad, Malik Muhammad Nauman, Quentin Cheok, Pg Emeroylariffion Abas, & Iftikhar Ahmad. (2018). Design and modeling of a smart insole hybrid energy harvester. 35 (4 pp.)–35 (4 pp.). 4 indexed citations
19.
Iqbal, Muhammad, et al.. (2017). ANALISIS KEKERASAN DAN STRUKTUR MIKRO PADA BAJA KOMERSIL YANG MENDAPATKAN PROSES PACK CARBURIZING DENGAN ARANG CANGKANG KELAPA SAWIT. 8(1).
20.
Khan, Farid Ullah & Muhammad Iqbal. (2016). Development of a testing rig for vibration and wind based energy harvesters. 35(2). 101–110. 5 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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