Motaz Saad
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Co-authors
- Wesam M. AshourStergios ChatzikyriakidisSimon DobnikNabil M. HewahiRichard JohanssonKamel Smaı̈liDavid LangloisEshrag Refaee
- Topics
- Natural Language Processing Techniques (7 papers)Topic Modeling (6 papers)Spam and Phishing Detection (3 papers)
- Journals
- Expert Systems with ApplicationsLanguage Resources and EvaluationNatural Language Engineering
- Partner nations
- Palestinian TerritorySwedenFrance
In The Last Decade
Motaz Saad
21 papers receiving 292 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 238
- Information Systems 96
- Computer Networks and Communications 41
- Computer Vision and Pattern Recognition 33
- Sociology and Political Science 13
Countries citing papers authored by Motaz Saad
This map shows the geographic impact of Motaz Saad'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 Motaz Saad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motaz Saad more than expected).
Fields of papers citing papers by Motaz Saad
This network shows the impact of papers produced by Motaz Saad. 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 Motaz Saad. The network helps show where Motaz Saad may publish in the future.
Co-authorship network of co-authors of Motaz Saad
This figure shows the co-authorship network connecting the top 25 collaborators of Motaz Saad. A scholar is included among the top collaborators of Motaz Saad 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 Motaz Saad. Motaz Saad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training | 26 |
| 7 | 8 | |
| 8 | Shami: A Corpus of Levantine Arabic Dialects | 35 |
| 9 | 3 | |
| 10 | 22 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | Distributed Data Mining On Grid Environment | 1 |
| 15 | Performance Evaluation of RESTful Web Services for Mobile Devices | 60 |
| 16 | 90 | |
| 17 | Arabic text classification using decision trees | 28 |
| 18 | A comparative Study of Outlier Mining and Class Outlier Mining | 7 |
| 19 | 15 | |
| 20 | A General Framework for Web Services and Grid-Based Technologies for Online Laboratories | 6 |
About Motaz Saad
Motaz Saad is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 22 papers that have together received 326 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Artificial Intelligence (238 citations), Information Systems (96 citations) and Computer Networks and Communications (41 citations). Motaz Saad has collaborated with scholars based in Palestinian Territory, Sweden and France. Frequent co-authors include Wesam M. Ashour, Stergios Chatzikyriakidis, Simon Dobnik, Nabil M. Hewahi, Richard Johansson, Kamel Smaı̈li, David Langlois, Eshrag Refaee, Djamal Benslimane and Hamadou Saliah-Hassane. Their work appears in journals such as Expert Systems with Applications, Language Resources and Evaluation and Natural Language Engineering.
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.