A. M. Rıad

84 papers receiving 2.0k citations

Peers

A. M. Rıad
Comparison fields: 5 of 126
  • Health Information Management 185
  • Computer Networks and Communications 909
  • Medical Laboratory Technology 26
  • Information Systems 429
  • Health Informatics 21
Replace Arpit Jain with:
Arpit Jain India
Chiranji Lal Chowdhary India
Saqib Hakak Canada
Mohd Khanapi Abd Ghani Malaysia
Revathi Sundarasekar India
Chan Yeob Yeun United Arab Emirates
Mohammad Shorfuzzaman Saudi Arabia
Anupam Kumar Bairagi Bangladesh
Ahmed Ghoneim Saudi Arabia
Muhammad Bilal South Korea
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Countries citing papers authored by A. M. Rıad

Since Specialization
Citations

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

Fields of papers citing papers by A. M. Rıad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Rıad. 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 A. M. Rıad. The network helps show where A. M. Rıad may publish in the future.

Co-authors

The 25 scholars most cited alongside A. M. Rıad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. M. Rıad Line = papers co-authored together A. M. Rıad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018263
2 2016180
3 2018174
4 2015156
5 2016137
6 2015109
7 201698
8 201592
9 201792
10 201773
11 201852
12 201846
13 201840
14 201435
15 201432
16
Review of e-Learning Systems Convergence from Traditional Systems to Services based Adaptive and Intelligent Systems.
200928
17 201425
18 201723
19 200821
20 201717

About A. M. Rıad

A. M. Rıad is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (13 papers), IoT and Edge/Fog Computing (11 papers), Retinal Diseases and Treatments (10 papers), Glaucoma and retinal disorders (9 papers), Energy Efficient Wireless Sensor Networks (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Semantic Web and Ontologies (7 papers) and Service-Oriented Architecture and Web Services (6 papers). The work is most often cited by research in Health Information Management (185 citations), Computer Networks and Communications (909 citations), Medical Laboratory Technology (26 citations), Information Systems (429 citations) and Health Informatics (21 citations). A. M. Rıad has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Mohamed Elhoseny, Hamdy K. Elminir, Xiaohui Yuan, Ahmed Abdelaziz, Ahmed S. Salama, Mohammed Elmogy, Shaker El–Sappagh, Arun Kumar Sangaiah, Khan Muhammad and Sahar F. Sabbeh. Their work appears in journals such as INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, Journal of Photochemistry and Photobiology B Biology, Complex & Intelligent Systems, Arabian Journal for Science and Engineering and Journal of King Saud University - Computer and Information Sciences.

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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