Mohamed Attia
- Artificial Intelligence top 5%
- Oncology
- Computer Vision and Pattern Recognition top 10%
- Social Psychology top 10%
- Biomedical Engineering
- Co-authors
- Mohammed HossnySaeid NahavandiAnousha YazdabadiJulie IskanderDarius NahavandiAhmed AbobakrMohsen RashwanHamed Asadi
- Topics
- Natural Language Processing Techniques (6 papers)Topic Modeling (4 papers)Cutaneous Melanoma Detection and Management (3 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsNeurocomputingComputer Methods and Programs in Biomedicine
- Partner nations
- AustraliaEgyptUnited States
In The Last Decade
Mohamed Attia
30 papers receiving 590 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 206
- Oncology 144
- Computer Vision and Pattern Recognition 96
- Social Psychology 93
- Biomedical Engineering 75
Countries citing papers authored by Mohamed Attia
This map shows the geographic impact of Mohamed Attia'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 Mohamed Attia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Attia more than expected).
Fields of papers citing papers by Mohamed Attia
This network shows the impact of papers produced by Mohamed Attia. 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 Mohamed Attia. The network helps show where Mohamed Attia may publish in the future.
Co-authorship network of co-authors of Mohamed Attia
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Attia. A scholar is included among the top collaborators of Mohamed Attia 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 Mohamed Attia. Mohamed Attia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 112 | |
| 7 | 68 | |
| 8 | 25 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 67 | |
| 14 | 0 | |
| 15 | Cooperation for Arabic Language Resources and Tools — The MEDAR Project | 2 |
| 16 | 14 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields | 4 |
| 20 | Building Annotated Written and Spoken Arabic LRs in NEMLAR Project | 27 |
About Mohamed Attia
Mohamed Attia is a scholar working on Health Informatics, Human-Computer Interaction and Medical Laboratory Technology, having authored 32 papers that have together received 626 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers) and Cutaneous Melanoma Detection and Management (3 papers). The work is most often cited by research in Health Informatics (22 citations), Human-Computer Interaction (55 citations) and Medical Laboratory Technology (10 citations). Mohamed Attia has collaborated with scholars based in Australia, Egypt and United States. Frequent co-authors include Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Julie Iskander, Darius Nahavandi, Ahmed Abobakr, Mohsen Rashwan, Hamed Asadi, Mohamed Al-Badrashiny and Khaled Saleh. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and Computer Methods and Programs in Biomedicine.
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.