Labib M. Labib
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
- Imbalanced Data Classification Techniques
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Network Security and Intrusion Detection 2
- Mobile Ad Hoc Networks 2
- Co-authors
- Ahmed I. Saleh (5 shared papers)Fatma M. Talaat (1 shared paper)Ali I. El-Desouky (1 shared paper)El‐Sayed M. El‐kenawy (1 shared paper)Mohamed Shehata (4 shared papers)Hesham Ali (4 shared papers)Mohammed Ghazal (3 shared papers)Mohamed Abou El‐Ghar (3 shared papers)
- Journals
- Sensors (3 papers)Neural Computing and Applications (2 papers)Artificial Intelligence Review (1 paper)Soft Computing (1 paper)Wireless Personal Communications (1 paper)
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Labib M. Labib
15 papers receiving 403 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 243
- Signal Processing 72
- Health Informatics 8
- Health Information Management 24
- Computer Networks and Communications 113
Countries citing papers authored by Labib M. Labib
This map shows the geographic impact of Labib M. Labib'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 Labib M. Labib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Labib M. Labib more than expected).
Fields of papers citing papers by Labib M. Labib
This network shows the impact of papers produced by Labib M. Labib. 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 Labib M. Labib. The network helps show where Labib M. Labib may publish in the future.
Co-authors
The 19 scholars most cited alongside Labib M. Labib, 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 | 2019 | 115 | |
| 2 | 2019 | 94 | |
| 3 | 2017 | 88 | |
| 4 | 2021 | 57 | |
| 5 | 2019 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2016 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 |
About Labib M. Labib
Labib M. Labib is a scholar working on Artificial Intelligence, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 429 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Gene expression and cancer classification (2 papers), Face and Expression Recognition (2 papers), Network Security and Intrusion Detection (2 papers), Prostate Cancer Treatment and Research (2 papers), Mobile Ad Hoc Networks (2 papers) and Fire Detection and Safety Systems (1 paper). The work is most often cited by research in Artificial Intelligence (243 citations), Signal Processing (72 citations), Health Informatics (8 citations), Health Information Management (24 citations) and Computer Networks and Communications (113 citations). Labib M. Labib has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Ahmed I. Saleh, Fatma M. Talaat, Ali I. El-Desouky, El‐Sayed M. El‐kenawy, Mohamed Shehata, Hesham Ali, Mohammed Ghazal, Mohamed Abou El‐Ghar, Moumen El-Melegy and Ayman El‐Baz. Their work appears in journals such as Sensors, Neural Computing and Applications, Artificial Intelligence Review, Soft Computing and Wireless Personal Communications.
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.