Imran Rahman

1.5k total citations
32 papers, 1.1k citations indexed

About

Imran Rahman is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications. According to data from OpenAlex, Imran Rahman has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 10 papers in Automotive Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Imran Rahman's work include Electric Vehicles and Infrastructure (14 papers), Advanced Battery Technologies Research (10 papers) and Electric and Hybrid Vehicle Technologies (7 papers). Imran Rahman is often cited by papers focused on Electric Vehicles and Infrastructure (14 papers), Advanced Battery Technologies Research (10 papers) and Electric and Hybrid Vehicle Technologies (7 papers). Imran Rahman collaborates with scholars based in Malaysia, Saudi Arabia and United States. Imran Rahman's co-authors include Nadia Adnan, Pandian Vasant, M. Abdullah‐Al‐Wadud, Balbir Singh Mahinder Singh, Junita Mohamad–Saleh, Amran Rasli, M. Hadi Amini, Dennis Reynolds, Murat Kuzlu and J.G. Proakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Renewable Energy.

In The Last Decade

Imran Rahman

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imran Rahman Malaysia 14 711 466 191 102 91 32 1.1k
Luluwah Al‐Fagih Qatar 15 579 0.8× 205 0.4× 191 1.0× 134 1.3× 28 0.3× 56 1.2k
Agathe Rialland Norway 10 160 0.2× 309 0.7× 86 0.5× 22 0.2× 36 0.4× 18 1.4k
George Kyriakarakos Greece 17 677 1.0× 98 0.2× 175 0.9× 159 1.6× 10 0.1× 33 1.3k
Carlos Álvarez-Bel Spain 24 1.5k 2.1× 254 0.5× 387 2.0× 135 1.3× 17 0.2× 106 1.9k
Jukka Paatero Finland 15 921 1.3× 100 0.2× 350 1.8× 291 2.9× 9 0.1× 29 1.4k
Chengxiang Zhuge China 22 746 1.0× 745 1.6× 326 1.7× 98 1.0× 47 0.5× 80 1.4k
Anna Bruce Australia 20 905 1.3× 106 0.2× 331 1.7× 300 2.9× 11 0.1× 86 1.3k
Javier Campillo Colombia 13 754 1.1× 227 0.5× 273 1.4× 122 1.2× 27 0.3× 46 1.1k
Colin J. Axon United Kingdom 17 561 0.8× 308 0.7× 222 1.2× 95 0.9× 21 0.2× 52 1.0k
Salvador Acha United Kingdom 21 886 1.2× 330 0.7× 323 1.7× 49 0.5× 27 0.3× 57 1.5k

Countries citing papers authored by Imran Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Imran Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Rahman. A scholar is included among the top collaborators of Imran Rahman 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 Imran Rahman. Imran Rahman 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.
2.
Chen, Tao, et al.. (2020). MATPLAN: A probability-based planning tool for cost-effective grid integration of renewable energy. Renewable Energy. 156. 1089–1099. 8 indexed citations
3.
Rahman, Imran, et al.. (2019). Optimization of Multimodal Benchmark Functions Using Fish Cooperative Hunting Behaviors. 9. 1–5. 3 indexed citations
4.
Rahman, Imran & Junita Mohamad–Saleh. (2018). Hybrid bio-Inspired computational intelligence techniques for solving power system optimization problems: A comprehensive survey. Applied Soft Computing. 69. 72–130. 52 indexed citations
5.
Adnan, Nadia, et al.. (2017). A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV. Environmental Science and Pollution Research. 24(22). 17955–17975. 65 indexed citations
6.
Adnan, Nadia, et al.. (2017). A new era of sustainable transport: An experimental examination on forecasting adoption behavior of EVs among Malaysian consumer. Transportation Research Part A Policy and Practice. 103. 279–295. 80 indexed citations
7.
Adnan, Nadia, et al.. (2017). Adoption of green fertilizer technology among paddy farmers: A possible solution for Malaysian food security. Land Use Policy. 63. 38–52. 90 indexed citations
8.
Adnan, Nadia, et al.. (2017). The impacts and visions of the green fertilizer technologies (GFT). World Journal of Science Technology and Sustainable Development. 14(4). 336–354. 11 indexed citations
9.
Vasant, Pandian, Imran Rahman, Balbir Singh Mahinder Singh, & M. Abdullah‐Al‐Wadud. (2016). Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques. Cogent Engineering. 3(1). 1203083–1203083. 13 indexed citations
10.
Rahman, Imran, Pandian Vasant, Balbir Singh Mahinder Singh, M. Abdullah‐Al‐Wadud, & Nadia Adnan. (2016). Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures. Renewable and Sustainable Energy Reviews. 58. 1039–1047. 303 indexed citations
11.
Rahman, Imran, Pandian Vasant, Balbir Singh Mahinder Singh, & M. Abdullah‐Al‐Wadud. (2016). Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review. Intelligent Decision Technologies. 10(2). 149–163. 14 indexed citations
12.
Adnan, Nadia, et al.. (2016). A comprehensive review on theoretical framework-based electric vehicle consumer adoption research. International Journal of Energy Research. 41(3). 317–335. 102 indexed citations
13.
Rahman, Imran, Pandian Vasant, Balbir Singh Mahinder Singh, & M. Abdullah‐Al‐Wadud. (2015). Swarm intelligence based State-of-Charge optimization for charging Plug-in Hybrid Electric Vehicles. WIT transactions on ecology and the environment. 1. 261–271. 3 indexed citations
14.
Rahman, Imran, Pandian Vasant, Balbir Singh Mahinder Singh, & M. Abdullah‐Al‐Wadud. (2015). On the performance of accelerated particle swarm optimization for charging plug-in hybrid electric vehicles. Alexandria Engineering Journal. 55(1). 419–426. 67 indexed citations
15.
Rahman, Imran, Pandian Vasant, Balbir Singh Mahinder Singh, & M. Abdullah‐Al‐Wadud. (2015). Technical challenges of plug-in hybrid electric vehicles deployment in smart electric grid. Contemporary Engineering Sciences. 8. 1119–1126. 5 indexed citations
16.
Islam, Mohammad Rakibul, et al.. (2015). Optimized Min-Sum Decoding Algorithm for Low Density Parity Check Codes. 1 indexed citations
17.
Rahman, Imran, et al.. (2014). Optimisation of PHEV/EV charging infrastructures: a review. International Journal of Energy Technology and Policy. 10(3/4). 280–280. 11 indexed citations
18.
Rahman, Imran, Pandian Vasant, Balbir Singh Mahinder Singh, & M. Abdullah‐Al‐Wadud. (2014). Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm. AIP conference proceedings. 1621. 52–59. 8 indexed citations
19.
Islam, Mohammad Rakibul, et al.. (2012). Optimized Min-Sum decoding algorithm for Low Density PC codes. 475–480. 3 indexed citations
20.
Rahman, Imran. (1992). Nonbinary error detection codes for data retransmission and bit error rate monitoring. IEEE Transactions on Communications. 40(7). 1139–1143.

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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