Afrah Al‐Bossly

440 citations
56 papers · 307 indexed · h-index 10
Topics
Nanofluid Flow and Heat Transfer (28 papers)Statistical Distribution Estimation and Applications (21 papers)Heat Transfer Mechanisms (20 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENanotechnology

In The Last Decade

Afrah Al‐Bossly

50 papers receiving 291 citations

Peers

Afrah Al‐Bossly
Comparison fields: 5 of 64
  • Biomedical Engineering 136
  • Statistics and Probability 109
  • Mechanical Engineering 100
  • Computational Mechanics 86
  • Statistics, Probability and Uncertainty 39
Replace Laila A. Al‐Essa with:
Laila A. Al‐Essa Saudi Arabia
Hassan M. Aljohani Saudi Arabia
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Anwar H. Joarder Saudi Arabia
Liang Yan China
Joachim Gwinner Germany
Baasansuren Jadamba United States
G. C. Hazarika India
Fung-Bao Liu Taiwan
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Afrah Al‐Bossly relative to Laila A. Al‐Essa Saudi Arabia Laila A. Al‐Essa's profile →
Citations per field
00.5×1.6×
Laila A. Al‐Essa · 1×
Citations per year

Countries citing papers authored by Afrah Al‐Bossly

Since Specialization
Citations

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

Fields of papers citing papers by Afrah Al‐Bossly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Afrah Al‐Bossly. 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 Afrah Al‐Bossly. The network helps show where Afrah Al‐Bossly may publish in the future.

Co-authorship network of co-authors of Afrah Al‐Bossly

This figure shows the co-authorship network connecting the top 25 collaborators of Afrah Al‐Bossly. A scholar is included among the top collaborators of Afrah Al‐Bossly 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 Afrah Al‐Bossly. Afrah Al‐Bossly 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
2 0
3 0
4 3
5 1
6 6
7 2
8 2
9 4
10 0
11 36
12 16
13 2
14 29
15 7
16 9
17 8
18 4
19 12
20 1

About Afrah Al‐Bossly

Afrah Al‐Bossly is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 56 papers that have together received 307 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (28 papers), Statistical Distribution Estimation and Applications (21 papers) and Heat Transfer Mechanisms (20 papers). The work is most often cited by research in Statistics and Probability (109 citations), Statistics, Probability and Uncertainty (39 citations) and Modeling and Simulation (20 citations). Afrah Al‐Bossly has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Fuad S. Alduais, Mahmoud El-Morshedy, Mohamed S. Eliwa, Anwar Saeed, Muhammad Ahsan ul Haq, Laila A. Al‐Essa, Showkat Ahmad Lone, Bilal Ali, Zafar Mahmood and Sidra Jubair. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nanotechnology.

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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