Adel Sulaiman
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Asadullah ShaikhMana Saleh Al ReshanHani AlshahraniSheifali GuptaVatsala AnandKanwarpartap Singh GillM. A. ElmagzoubYousef Asiri
- Topics
- AI in cancer detection (9 papers)Artificial Intelligence in Healthcare (7 papers)COVID-19 diagnosis using AI (7 papers)
- Partner nations
- Saudi ArabiaPakistanIndia
In The Last Decade
Adel Sulaiman
53 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 243
- Information Systems 134
- Computer Networks and Communications 117
- Radiology, Nuclear Medicine and Imaging 111
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Adel Sulaiman
This map shows the geographic impact of Adel Sulaiman'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 Adel Sulaiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adel Sulaiman more than expected).
Fields of papers citing papers by Adel Sulaiman
This network shows the impact of papers produced by Adel Sulaiman. 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 Adel Sulaiman. The network helps show where Adel Sulaiman may publish in the future.
Co-authorship network of co-authors of Adel Sulaiman
This figure shows the co-authorship network connecting the top 25 collaborators of Adel Sulaiman. A scholar is included among the top collaborators of Adel Sulaiman 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 Adel Sulaiman. Adel Sulaiman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 8 | |
| 10 | Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Modelbreakdown → | 115 |
| 11 | 15 | |
| 12 | 32 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 24 | |
| 20 | 7 |
About Adel Sulaiman
Adel Sulaiman is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 59 papers that have together received 750 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Artificial Intelligence in Healthcare (7 papers) and COVID-19 diagnosis using AI (7 papers). The work is most often cited by research in Health Information Management (89 citations), Health Informatics (16 citations) and Artificial Intelligence (243 citations). Adel Sulaiman has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Asadullah Shaikh, Mana Saleh Al Reshan, Hani Alshahrani, Sheifali Gupta, Vatsala Anand, Kanwarpartap Singh Gill, M. A. Elmagzoub, Yousef Asiri, Samina Amin and Adel Rajab. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.