Mubarak Almutairi

1.7k citations
48 papers · 990 indexed · h-index 18
Topics
IoT and Edge/Fog Computing (5 papers)Game Theory and Applications (3 papers)Drug-Induced Adverse Reactions (3 papers)

In The Last Decade

Mubarak Almutairi

46 papers receiving 937 citations

Peers

Mubarak Almutairi
Comparison fields: 5 of 122
  • Artificial Intelligence 277
  • Computer Vision and Pattern Recognition 161
  • Computer Networks and Communications 145
  • Information Systems 123
  • Electrical and Electronic Engineering 101
Replace Sushruta Mishra with:
Sushruta Mishra India
Irina V. Pustokhina Russia
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Abdulwahab Ali Almazroi Saudi Arabia
Hadi Akbarzadeh Khorshidi Australia
Asad Masood Khattak United Arab Emirates
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Mubarak Almutairi relative to Sushruta Mishra India Sushruta Mishra's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mubarak Almutairi

Since Specialization
Citations

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

Fields of papers citing papers by Mubarak Almutairi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubarak Almutairi

This figure shows the co-authorship network connecting the top 25 collaborators of Mubarak Almutairi. A scholar is included among the top collaborators of Mubarak Almutairi 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 Mubarak Almutairi. Mubarak Almutairi 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 3
2 5
3 0
4 3
5 2
6 5
7 35
8 1
9 13
10 16
11 43
12 9
13 46
14 52
15 9
16 16
17
Assessment of student outcomes of an electrical and electronics engineering technology programme: A case study
1
18 45
19 4
20 4

About Mubarak Almutairi

Mubarak Almutairi is a scholar working on Energy Engineering and Power Technology, Media Technology and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 990 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Game Theory and Applications (3 papers) and Drug-Induced Adverse Reactions (3 papers). The work is most often cited by research in Health Information Management (85 citations), Health Informatics (20 citations) and Artificial Intelligence (277 citations). Mubarak Almutairi has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Kashif Munir, Ali Raza, Haruna Chiroma, Absalom E. Ezugwu, Olaide N. Oyelade, Furqan Rustam, Khalid Almutairi, Keith W. Hipel, Abdulsalam Ya’u Gital and Imran Ashraf. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

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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