Muhammad Iqbal

62 total papers · 1.0k total citations
32 papers, 740 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 740 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, Yuxiong Li, Xianzhen Huang, Chengying Zhao 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

27 papers receiving 722 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Iqbal 483 368 260 102 81 32 740
Sallam A. Kouritem 385 0.8× 304 0.8× 347 1.3× 106 1.0× 60 0.7× 38 679
Jiantao Zhang 348 0.7× 273 0.7× 223 0.9× 77 0.8× 125 1.5× 34 623
Khalid Hamid 380 0.8× 206 0.6× 113 0.4× 62 0.6× 33 0.4× 56 907
Tuna Balkan 641 1.3× 474 1.3× 290 1.1× 88 0.9× 182 2.2× 38 879
Ying Gong 250 0.5× 212 0.6× 406 1.6× 40 0.4× 53 0.7× 45 733
F. Čuš 536 1.1× 275 0.7× 169 0.7× 33 0.3× 73 0.9× 45 725
Nima Amanifard 282 0.6× 272 0.7× 146 0.6× 55 0.5× 64 0.8× 64 857
Mingjie Guan 485 1.0× 398 1.1× 287 1.1× 97 1.0× 33 0.4× 31 644
Yiqun Liu 336 0.7× 203 0.6× 259 1.0× 138 1.4× 153 1.9× 52 867
Jing Zhou 219 0.5× 128 0.3× 167 0.6× 56 0.5× 20 0.2× 41 703

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

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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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