Khaled S. Refaat
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Building and Construction top 10%
- Traffic Prediction and Management Techniques
Papers in
-
- Autonomous Vehicle Technology and Safety 5
-
- Video Surveillance and Tracking Methods 2
- Co-authors
- Benjamin Sapp (3 shared papers)Nigamaa Nayakanti (3 shared papers)Rami Al‐Rfou (2 shared papers)Aurick Zhou (2 shared papers)Kratarth Goel (1 shared paper)Ahmed Hefny (2 shared papers)Balakrishnan Varadarajan (1 shared paper)Dragomir Anguelov (1 shared paper)
- Journals
- 2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesEgyptFrance
In The Last Decade
Khaled S. Refaat
9 papers receiving 348 citations
Khaled S. Refaat's Hit Papers
Peers
Comparison fields: 5 of 38
- Automotive Engineering 232
- Building and Construction 98
- Safety, Risk, Reliability and Quality 62
- Computer Vision and Pattern Recognition 137
- Signal Processing 49
Countries citing papers authored by Khaled S. Refaat
This map shows the geographic impact of Khaled S. Refaat'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 Khaled S. Refaat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled S. Refaat more than expected).
Fields of papers citing papers by Khaled S. Refaat
This network shows the impact of papers produced by Khaled S. Refaat. 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 Khaled S. Refaat. The network helps show where Khaled S. Refaat may publish in the future.
Co-authors
The 25 scholars most cited alongside Khaled S. Refaat, 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 | MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Hit paper breakdown → | 2022 | 177 |
| 2 | Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Hit paper breakdown → | 2023 | 118 |
| 3 | 2023 | 35 | |
| 4 | 2010 | 15 | |
| 5 | 2023 | 9 | |
| 6 | Using Semantic Features to Detect Spamming in Social Bookmarking Systems | 2008 | 7 |
| 7 | 2008 | 4 | |
| 8 | EDML for Learning Parameters in Directed and Undirected Graphical Models | 2013 | 2 |
| 9 | Decomposing Parameter Estimation Problems | 2014 | 1 |
| 10 | 2024 | 0 | |
| 11 | Data compression for learning MRF parameters | 2015 | 0 |
About Khaled S. Refaat
Khaled S. Refaat is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Safety, Risk, Reliability and Quality, having authored 11 papers that have together received 368 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Machine Learning and Algorithms (3 papers), Bayesian Modeling and Causal Inference (2 papers), Video Surveillance and Tracking Methods (2 papers), Traffic and Road Safety (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Automotive Engineering (232 citations), Building and Construction (98 citations), Safety, Risk, Reliability and Quality (62 citations), Computer Vision and Pattern Recognition (137 citations) and Signal Processing (49 citations). Khaled S. Refaat has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include Benjamin Sapp, Nigamaa Nayakanti, Rami Al‐Rfou, Aurick Zhou, Kratarth Goel, Ahmed Hefny, Balakrishnan Varadarajan, Dragomir Anguelov, Bertrand Douillard and Kan Chen. Their work appears in journals such as 2022 International Conference on Robotics and Automation (ICRA).
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.