Ammar Mohammed
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Artificial Intelligence top 1%
- AI in cancer detection
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 16
- Advanced Text Analysis Techniques 10
- Sentiment Analysis and Opinion Mining 8
- Natural Language Processing Techniques 8
- AI in cancer detection 8
- Text and Document Classification Technologies 7
- Co-authors
- Rania Kora (7 shared papers)Hesham A. Hefny (11 shared papers)Eslam Amer (1 shared paper)Ahmed Elmogy (1 shared paper)Wilfried Elmenreich (1 shared paper)Jagadeesh Pasupuleti (1 shared paper)Atef Ibrahim (1 shared paper)Tamer Khatib (1 shared paper)
- Journals
- IEEE Access (6 papers)Social Network Analysis and Mining (3 papers)Journal of King Saud University - Computer and Information Sciences (3 papers)Artificial Intelligence in Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Ammar Mohammed
61 papers receiving 1.7k citations
Ammar Mohammed's Hit Papers
Peers
Comparison fields: 5 of 158
- Neurology 243
- Artificial Intelligence 863
- Health Information Management 95
- Health Informatics 23
- Computer Vision and Pattern Recognition 324
Countries citing papers authored by Ammar Mohammed
This map shows the geographic impact of Ammar Mohammed'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 Ammar Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Mohammed more than expected).
Fields of papers citing papers by Ammar Mohammed
This network shows the impact of papers produced by Ammar Mohammed. 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 Ammar Mohammed. The network helps show where Ammar Mohammed may publish in the future.
Co-authors
The 25 scholars most cited alongside Ammar Mohammed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comprehensive review on ensemble deep learning: Opportunities and challenges Hit paper breakdown → | 2023 | 527 |
| 2 | An enhanced deep learning approach for brain cancer MRI images classification using residual networks Hit paper breakdown → | 2019 | 289 |
| 3 | 2021 | 99 | |
| 4 | 2019 | 93 | |
| 5 | 2019 | 90 | |
| 6 | 2015 | 57 | |
| 7 | 2021 | 56 | |
| 8 | 2020 | 54 | |
| 9 | 2022 | 44 | |
| 10 | 2021 | 38 | |
| 11 | 2023 | 34 | |
| 12 | 2021 | 31 | |
| 13 | 2023 | 30 | |
| 14 | 2023 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2021 | 25 | |
| 17 | 2021 | 22 | |
| 18 | 2023 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2020 | 16 |
About Ammar Mohammed
Ammar Mohammed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Health Information Management and Neurology, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Advanced Text Analysis Techniques (10 papers), Sentiment Analysis and Opinion Mining (8 papers), Natural Language Processing Techniques (8 papers), AI in cancer detection (8 papers), Text and Document Classification Technologies (7 papers), Artificial Intelligence in Healthcare (5 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Neurology (243 citations), Artificial Intelligence (863 citations), Health Information Management (95 citations), Health Informatics (23 citations) and Computer Vision and Pattern Recognition (324 citations). Ammar Mohammed has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Rania Kora, Hesham A. Hefny, Eslam Amer, Ahmed Elmogy, Wilfried Elmenreich, Jagadeesh Pasupuleti, Atef Ibrahim, Tamer Khatib, Usman Tariq and Lamiaa Fattouh Ibrahim. Their work appears in journals such as IEEE Access, Social Network Analysis and Mining, Journal of King Saud University - Computer and Information Sciences, Artificial Intelligence in Medicine and Scientific Reports.
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.