Abrar Almjally

802 citations
19 papers · 415 indexed · 1 hit paper · h-index 7
Topics
Human Pose and Action Recognition (3 papers)Hearing Impairment and Communication (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)

In The Last Decade

Abrar Almjally

16 papers receiving 398 citations

Hit Papers

A Study of CNN and Transfer Learning in Medical Imaging: ...2023202620242025202350100150200250

Peers

Abrar Almjally
Comparison fields: 5 of 110
  • Artificial Intelligence 122
  • Computer Vision and Pattern Recognition 107
  • Radiology, Nuclear Medicine and Imaging 79
  • Neurology 38
  • Biomedical Engineering 33
Replace Bayan Alabduallah with:
Bayan Alabduallah Saudi Arabia
Bambang Tutuko Indonesia
Agung W. Setiawan Indonesia
Pawan Kumar Mall India
Syed Thouheed Ahmed India
Vipul Narayan India
Haytham Al-Feel Egypt
Shibaprasad Sen India
Erdal Özbay Türkiye
Mohammed Imran Basheer Ahmed Saudi Arabia
Abrar Almjally relative to Bayan Alabduallah Saudi Arabia Bayan Alabduallah's profile →
Citations per field
00.5×1.5×
Bayan Alabduallah · 1×
Citations per year

Countries citing papers authored by Abrar Almjally

Since Specialization
Citations

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

Fields of papers citing papers by Abrar Almjally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abrar Almjally

This figure shows the co-authorship network connecting the top 25 collaborators of Abrar Almjally. A scholar is included among the top collaborators of Abrar Almjally 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 Abrar Almjally. Abrar Almjally is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 2
6 6
7 33
8 19
9 1
10 32
11 4
12 5
13
A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scopebreakdown →
256
14 31
15 2
16 4
17 3
18 9
19 7

About Abrar Almjally

Abrar Almjally is a scholar working on Business and International Management, Computer Science Applications and Human-Computer Interaction, having authored 19 papers that have together received 415 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Hearing Impairment and Communication (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (33 citations) and Computer Vision and Pattern Recognition (107 citations). Abrar Almjally has collaborated with scholars based in Saudi Arabia, India and Pakistan. Frequent co-authors include Shakir Khan, Bayan Alabduallah, Gaurav Gupta, Tamanna Siddiqui, Hadeel Alsolai, A. Mellit, Ahmad Waleed Salehi, Abdullah Alshahrani, Ahmad Jalal and Asaad Algarni. Their work appears in journals such as Scientific Reports, IEEE Access and Frontiers in Plant Science.

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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