Omar Einea
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
-
- Advanced Text Analysis Techniques 6
- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 3
- Natural Language Processing Techniques 3
- Text and Document Classification Technologies 3
- Co-authors
- Ashraf Elnagar (7 shared papers)Manar Abu Talib (2 shared papers)Qassim Nasir (2 shared papers)Ali Bou Nassif (1 shared paper)
- Journals
- Data in Brief (1 paper)Information Processing & Management (1 paper)Heliyon (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- United Arab Emirates
In The Last Decade
Omar Einea
10 papers receiving 449 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 406
- Information Systems 117
- General Social Sciences 9
- Signal Processing 22
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Omar Einea
This map shows the geographic impact of Omar Einea'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 Omar Einea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Einea more than expected).
Fields of papers citing papers by Omar Einea
This network shows the impact of papers produced by Omar Einea. 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 Omar Einea. The network helps show where Omar Einea may publish in the future.
Co-authors
The 4 scholars most cited alongside Omar Einea, 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 | 219 | |
| 2 | 2019 | 80 | |
| 3 | 2016 | 71 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 12 | |
| 6 | Automatic Text Tagging of Arabic News Articles Using Ensemble Deep Learning Models | 2019 | 12 |
| 7 | 2019 | 11 | |
| 8 | 2017 | 9 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 1 |
About Omar Einea
Omar Einea is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Communication, Computer Networks and Communications and Information Systems, having authored 10 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (6 papers), Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (3 papers), Natural Language Processing Techniques (3 papers), Text and Document Classification Technologies (3 papers), Knowledge Management and Sharing (1 paper), Software Engineering Research (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Artificial Intelligence (406 citations), Information Systems (117 citations), General Social Sciences (9 citations), Signal Processing (22 citations) and Computer Vision and Pattern Recognition (32 citations). Omar Einea has collaborated with scholars based in United Arab Emirates. Frequent co-authors include Ashraf Elnagar, Manar Abu Talib, Qassim Nasir and Ali Bou Nassif. Their work appears in journals such as Data in Brief, Information Processing & Management, Heliyon and Procedia Computer Science.
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.