Ammar Mohammed
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Information Systems top 5%
- Co-authors
- Rania KoraHesham A. HefnyEslam AmerJagadeesh PasupuletiUsman TariqAhmed ElmogyAtef IbrahimWilfried Elmenreich
- Topics
- Topic Modeling (16 papers)Advanced Text Analysis Techniques (10 papers)Sentiment Analysis and Opinion Mining (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsScientific Reports
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Ammar Mohammed
61 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 863
- Computer Vision and Pattern Recognition 324
- Radiology, Nuclear Medicine and Imaging 252
- Neurology 243
- Information Systems 168
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-authorship network of co-authors of Ammar Mohammed
This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Mohammed. A scholar is included among the top collaborators of Ammar Mohammed 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 Ammar Mohammed. Ammar Mohammed 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 38 | |
| 19 | 6 | |
| 20 | Using Textual Case-based Reasoning in Intelligent Fatawa QA System | 13 |
About Ammar Mohammed
Ammar Mohammed is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, 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) and Sentiment Analysis and Opinion Mining (8 papers). The work is most often cited by research in Neurology (243 citations), Artificial Intelligence (863 citations) and Health Information Management (95 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, Jagadeesh Pasupuleti, Usman Tariq, Ahmed Elmogy, Atef Ibrahim, Wilfried Elmenreich, Tamer Khatib and Lamiaa Fattouh Ibrahim. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews 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.