Emad Saad
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Human Factors and Ergonomics top 5%
Papers in
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- Neural Networks and Applications 5
- Semantic Web and Ontologies 4
- Logic, Reasoning, and Knowledge 4
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- Robotic Path Planning Algorithms 4
- Co-authors
- Donald C. Wunsch (8 shared papers)Danil Prokhorov (2 shared papers)Huijun Wang (1 shared paper)Radovan Kovacevic (1 shared paper)John Vian (7 shared papers)Enrico Pontelli (5 shared papers)Douglas J. Gillan (2 shared papers)Gopal Gupta (2 shared papers)
- Journals
- Journal of Materials Processing Technology (1 paper)Neural Networks (1 paper)IEEE Computational Intelligence Magazine (1 paper)Annals of Mathematics and Artificial Intelligence (2 papers)Universal Access in the Information Society (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesAustralia
In The Last Decade
Emad Saad
18 papers receiving 578 citations
Peers
Comparison fields: 5 of 76
- Management Science and Operations Research 236
- Human Factors and Ergonomics 28
- Artificial Intelligence 263
- Signal Processing 73
- Finance 39
Countries citing papers authored by Emad Saad
This map shows the geographic impact of Emad 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 Emad Saad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emad Saad more than expected).
Fields of papers citing papers by Emad Saad
This network shows the impact of papers produced by Emad 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 Emad Saad. The network helps show where Emad Saad may publish in the future.
Co-authors
The 13 scholars most cited alongside Emad Saad, 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 | 1998 | 355 | |
| 2 | 2006 | 74 | |
| 3 | 2006 | 54 | |
| 4 | 2002 | 35 | |
| 5 | 2009 | 26 | |
| 6 | 2002 | 19 | |
| 7 | 2009 | 18 | |
| 8 | 2002 | 11 | |
| 9 | 2003 | 8 | |
| 10 | 2010 | 8 | |
| 11 | 2003 | 4 | |
| 12 | 2003 | 2 | |
| 13 | Qualitative and Quantitative Reasoning in Hybrid Probabilistic Logic Programs | 2007 | 1 |
| 14 | 2015 | 1 | |
| 15 | Hybrid probabilistic programs with non-monotonic negation: semantics and algorithms | 2005 | 1 |
| 16 | 2007 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2014 | 1 |
About Emad Saad
Emad Saad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Human Factors and Ergonomics, having authored 18 papers that have together received 620 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers), Semantic Web and Ontologies (4 papers), Logic, Reasoning, and Knowledge (4 papers), Optimization and Search Problems (2 papers), Stock Market Forecasting Methods (2 papers) and Digital Accessibility for Disabilities (2 papers). The work is most often cited by research in Management Science and Operations Research (236 citations), Human Factors and Ergonomics (28 citations), Artificial Intelligence (263 citations), Signal Processing (73 citations) and Finance (39 citations). Emad Saad has collaborated with scholars based in United States, United Arab Emirates and Australia. Frequent co-authors include Donald C. Wunsch, Danil Prokhorov, Huijun Wang, Radovan Kovacevic, John Vian, Enrico Pontelli, Douglas J. Gillan, Gopal Gupta, Arthur I. Karshmer and Stefan Bieniawski. Their work appears in journals such as Journal of Materials Processing Technology, Neural Networks, IEEE Computational Intelligence Magazine, Annals of Mathematics and Artificial Intelligence and Universal Access in the Information Society.
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.