Fahim Faisal

1.6k citations
74 papers · 1.1k indexed · h-index 22
Topics
Advanced DC-DC Converters (8 papers)Multilevel Inverters and Converters (8 papers)Artificial Intelligence in Healthcare (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEHeliyon

In The Last Decade

Fahim Faisal

69 papers receiving 1.1k citations

Peers

Fahim Faisal
Comparison fields: 5 of 123
  • Artificial Intelligence 324
  • Electrical and Electronic Engineering 187
  • Computer Vision and Pattern Recognition 158
  • Health Information Management 132
  • Cognitive Neuroscience 113
Replace Mirza Muntasir Nishat with:
Mirza Muntasir Nishat Bangladesh
Mohammed Al-Sarem Saudi Arabia
Matthew Chin Heng Chua Singapore
Galip Aydın Türkiye
Jaehun Bang South Korea
Enrique Garcia-Ceja Norway
Eman M. G. Younis Egypt
Yujun Ma China
Yali Zheng China
Thanos G. Stavropoulos Greece
Fahim Faisal relative to Mirza Muntasir Nishat Bangladesh Mirza Muntasir Nishat's profile →
Citations per field
00.5×1.5×
Mirza Muntasir Nishat · 1×
Citations per year

Countries citing papers authored by Fahim Faisal

Since Specialization
Citations

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

Fields of papers citing papers by Fahim Faisal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahim Faisal

This figure shows the co-authorship network connecting the top 25 collaborators of Fahim Faisal. A scholar is included among the top collaborators of Fahim Faisal 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 Fahim Faisal. Fahim Faisal 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
#WorkIndexed citations
1 0
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4 5
5 5
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7 1
8 1
9 15
10 1
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12 2
13 4
14 19
15 17
16 23
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18 45
19 26
20 35

About Fahim Faisal

Fahim Faisal is a scholar working on Health Information Management, Applied Psychology and Artificial Intelligence, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (8 papers), Multilevel Inverters and Converters (8 papers) and Artificial Intelligence in Healthcare (7 papers). The work is most often cited by research in Health Information Management (132 citations), Health Informatics (19 citations) and Applied Psychology (61 citations). Fahim Faisal has collaborated with scholars based in Bangladesh, United States and Malaysia. Frequent co-authors include Mirza Muntasir Nishat, Md. Ashraful Hoque, Md Rezaul Hoque Khan, Mohammad Rakibul Islam, Ashik Ahmed, Antonios Anastasopoulos, Mahin Khan Mahadi, Md Abdullah Al Mamun, Sanjida Ali and Bushra Tabassum. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Heliyon.

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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