Abdullah Alourani

817 total citations · 1 hit paper
45 papers, 428 citations indexed

About

Abdullah Alourani is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Abdullah Alourani has authored 45 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Abdullah Alourani's work include IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (6 papers) and COVID-19 diagnosis using AI (4 papers). Abdullah Alourani is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (6 papers) and COVID-19 diagnosis using AI (4 papers). Abdullah Alourani collaborates with scholars based in Saudi Arabia, Pakistan and United States. Abdullah Alourani's co-authors include Asghar Ali Shah, Hafiz Abid Mahmood Malik, AbdulHafeez Muhammad, Muhammad Sardaraz, Muhammad Tahir, Mahdi Jemmali, Mohamed Baza, Raja Muhammad Ishtiaq Khan, Muhammad Usman Ashraf and Hani Alshahrani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Abdullah Alourani

43 papers receiving 396 citations

Hit Papers

Deep learning ensemble 2D CNN approach towards the detect... 2023 2026 2024 2025 2023 25 50 75

Peers

Abdullah Alourani
Comparison fields: 5 of 98
  • Artificial Intelligence 124
  • Computer Networks and Communications 103
  • Information Systems 98
  • Radiology, Nuclear Medicine and Imaging 79
  • Pulmonary and Respiratory Medicine 42
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Citations per field, relative to Abdullah Alourani
Abdullah Alourani · 1×
Citations per year, relative to Abdullah Alourani
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Countries citing papers authored by Abdullah Alourani

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Alourani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Alourani

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Alourani. A scholar is included among the top collaborators of Abdullah Alourani 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 Abdullah Alourani. Abdullah Alourani 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 8
3 1
4 2
5 1
6 17
7 6
8 15
9 2
10 10
11 3
12 5
13 5
14
Deep learning ensemble 2D CNN approach towards the detection of lung cancer breakdown →
85
15 11
16 10
17 10
18 2
19 6
20 1

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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