Anas W. Abulfaraj
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ashraf Osman IbrahimMamoona HumayunN. Z. JhanjhiWamda NagmeldinSalil BharanyAnton Satria PrabuwonoAkashdeep BhardwajSharaf J. Malebary
- Topics
- Advanced Neural Network Applications (4 papers)Brain Tumor Detection and Classification (3 papers)Neural Networks and Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- Saudi ArabiaMalaysiaIndia
In The Last Decade
Anas W. Abulfaraj
24 papers receiving 193 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 75
- Computer Networks and Communications 47
- Information Systems 35
- Health Information Management 31
- Radiology, Nuclear Medicine and Imaging 19
Countries citing papers authored by Anas W. Abulfaraj
This map shows the geographic impact of Anas W. Abulfaraj'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 Anas W. Abulfaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anas W. Abulfaraj more than expected).
Fields of papers citing papers by Anas W. Abulfaraj
This network shows the impact of papers produced by Anas W. Abulfaraj. 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 Anas W. Abulfaraj. The network helps show where Anas W. Abulfaraj may publish in the future.
Co-authorship network of co-authors of Anas W. Abulfaraj
This figure shows the co-authorship network connecting the top 25 collaborators of Anas W. Abulfaraj. A scholar is included among the top collaborators of Anas W. Abulfaraj 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 Anas W. Abulfaraj. Anas W. Abulfaraj 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 | 0 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 43 | |
| 19 | 36 | |
| 20 | 1 |
About Anas W. Abulfaraj
Anas W. Abulfaraj is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Health Information Management, having authored 26 papers that have together received 215 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Brain Tumor Detection and Classification (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Health Information Management (31 citations), Artificial Intelligence (75 citations) and Information Systems and Management (16 citations). Anas W. Abulfaraj has collaborated with scholars based in Saudi Arabia, Malaysia and India. Frequent co-authors include Ashraf Osman Ibrahim, Mamoona Humayun, N. Z. Jhanjhi, Wamda Nagmeldin, Salil Bharany, Anton Satria Prabuwono, Akashdeep Bhardwaj, Sharaf J. Malebary, Amit Verma and Manal Abdullah Alohali. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.