Md. Mainul Islam

1.3k total citations
34 papers, 953 citations indexed

About

Md. Mainul Islam is a scholar working on Electrical and Electronic Engineering, Information Systems and Artificial Intelligence. According to data from OpenAlex, Md. Mainul Islam has authored 34 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 15 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Md. Mainul Islam's work include Blockchain Technology Applications and Security (12 papers), Cryptography and Data Security (9 papers) and Electric Vehicles and Infrastructure (7 papers). Md. Mainul Islam is often cited by papers focused on Blockchain Technology Applications and Security (12 papers), Cryptography and Data Security (9 papers) and Electric Vehicles and Infrastructure (7 papers). Md. Mainul Islam collaborates with scholars based in South Korea, Bangladesh and Malaysia. Md. Mainul Islam's co-authors include Hussain Shareef, Abdul Rahman Mohamed, Md. Shahjalal, Moh. Khalid Hasan, Yeong Min Jang, Md. Selim Hossain, Hoh Peter In, Yeong Min Jang, Md Morshed Alam and Md. Faisal Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Access.

In The Last Decade

Md. Mainul Islam

32 papers receiving 915 citations

Peers

Md. Mainul Islam
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 683
  • Automotive Engineering 488
  • Information Systems 232
  • Artificial Intelligence 179
  • Computer Networks and Communications 89
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Sangdon Park South Korea
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Arobinda Gupta India View profile →
Citations per field, relative to Md. Mainul Islam
Md. Mainul Islam · 1×
Citations per year, relative to Md. Mainul Islam
Md. Mainul Islam · 1×

Countries citing papers authored by Md. Mainul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md. Mainul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Mainul Islam. 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 Md. Mainul Islam. The network helps show where Md. Mainul Islam may publish in the future.

Co-authorship network of co-authors of Md. Mainul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mainul Islam. A scholar is included among the top collaborators of Md. Mainul Islam 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 Md. Mainul Islam. Md. Mainul Islam 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
# Work Indexed citations
1 2
2 2
3 1
4 1
5 23
6 22
7 16
8 19
9 8
10 10
11 35
12 47
13 26
14 72
15 4
16 2
17 4
18 90
19 5
20 0

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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