Noha Negm
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 3
- Digital Imaging for Blood Diseases 2
- Co-authors
- Marwa Obayya (6 shared papers)Wahab Khan (1 shared paper)Muhammad Sohail Khan (1 shared paper)Ahmed S. Salama (2 shared papers)Naeem Ullah (1 shared paper)Javed Ali Khan (1 shared paper)Manar Ahmed Hamza (8 shared papers)Radwa Marzouk (8 shared papers)
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (11 papers)IEEE Access (6 papers)Applied Sciences (4 papers)Journal of South American Earth Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- Saudi ArabiaEgyptPakistan
In The Last Decade
Noha Negm
38 papers receiving 322 citations
Peers
Comparison fields: 5 of 83
- Neurology 90
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 108
- Health Informatics 4
- Signal Processing 27
Countries citing papers authored by Noha Negm
This map shows the geographic impact of Noha Negm'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 Noha Negm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noha Negm more than expected).
Fields of papers citing papers by Noha Negm
This network shows the impact of papers produced by Noha Negm. 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 Noha Negm. The network helps show where Noha Negm may publish in the future.
Co-authors
The 25 scholars most cited alongside Noha Negm, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 109 | |
| 2 | 2023 | 38 | |
| 3 | 2022 | 16 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2025 | 4 |
About Noha Negm
Noha Negm is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 39 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Network Security and Intrusion Detection (4 papers), UAV Applications and Optimization (3 papers), Brain Tumor Detection and Classification (3 papers), Data Mining Algorithms and Applications (3 papers), Energy Load and Power Forecasting (3 papers), Video Surveillance and Tracking Methods (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Neurology (90 citations), Computer Vision and Pattern Recognition (120 citations), Artificial Intelligence (108 citations), Health Informatics (4 citations) and Signal Processing (27 citations). Noha Negm has collaborated with scholars based in Saudi Arabia, Egypt and Pakistan. Frequent co-authors include Marwa Obayya, Wahab Khan, Muhammad Sohail Khan, Ahmed S. Salama, Naeem Ullah, Javed Ali Khan, Manar Ahmed Hamza, Radwa Marzouk, Majdi Khalid and Fahd N. Al‐Wesabi. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Applied Sciences, Journal of South American Earth Sciences 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.