Mohammad Nassef
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- AI in cancer detection
- Topic Modeling
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Algorithms and Data Compression 3
- Neural Networks and Applications 2
- Evolutionary Algorithms and Applications 2
- AI in cancer detection 2
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- Gene expression and cancer classification 5
- Machine Learning in Bioinformatics 4
- Co-authors
- Ibrahim Farag (7 shared papers)Amr Badr (5 shared papers)Hesham Hassan (1 shared paper)Hesham A. Hefny (1 shared paper)Ahmed H. Madian (2 shared papers)Monagi H. Alkinani (2 shared papers)
- Journals
- IEEE Access (3 papers)Computer Methods and Programs in Biomedicine (1 paper)PeerJ Computer Science (1 paper)Expert Systems with Applications (1 paper)Soft Computing (1 paper)
- Partner nations
- EgyptSaudi Arabia
In The Last Decade
Mohammad Nassef
18 papers receiving 552 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 14
- Artificial Intelligence 298
- Radiology, Nuclear Medicine and Imaging 161
- Computer Science Applications 26
- Health Information Management 19
Countries citing papers authored by Mohammad Nassef
This map shows the geographic impact of Mohammad Nassef'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 Mohammad Nassef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Nassef more than expected).
Fields of papers citing papers by Mohammad Nassef
This network shows the impact of papers produced by Mohammad Nassef. 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 Mohammad Nassef. The network helps show where Mohammad Nassef may publish in the future.
Co-authors
The 6 scholars most cited alongside Mohammad Nassef, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 204 | |
| 2 | 2018 | 161 | |
| 3 | 2019 | 93 | |
| 4 | 2018 | 27 | |
| 5 | 2016 | 27 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2004 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2014 | 0 |
About Mohammad Nassef
Mohammad Nassef is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 573 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (4 papers), Algorithms and Data Compression (3 papers), Neural Networks and Applications (2 papers), Evolutionary Algorithms and Applications (2 papers), AI in cancer detection (2 papers), Software Engineering Research (2 papers) and Advanced Control Systems Design (2 papers). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (298 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Computer Science Applications (26 citations) and Health Information Management (19 citations). Mohammad Nassef has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Ibrahim Farag, Amr Badr, Hesham Hassan, Hesham A. Hefny, Ahmed H. Madian and Monagi H. Alkinani. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine, PeerJ Computer Science, Expert Systems with Applications and Soft Computing.
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.