Negash Begashaw
Negash Begashaw publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Traffic control and management, Transportation Planning and Optimization and Anomaly Detection Techniques and Applications.
- World rank
- #5,173,167 of 7,710,434 ranked researchers
- Rank in United States
- #1,329,685 of 1,627,098
- Works
- 28
- Citations
- 37
- Citations per work
- 1.3
What does Negash Begashaw research?
Negash Begashaw's work is mostly in Computer Science (27%), Engineering (8%), Social Sciences (6%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else1553.2%
- Physical Sciences1140.3%
- Computer Science827.3%
- Engineering27.8%
- Mathematics15.2%
- Social Sciences26.5%
- Social Sciences26.5%
- 1Artificial Intelligence12% of their works
- 2Computer Vision and Pattern Recognition9% of their works
- 3Control and Systems Engineering8% of their works
- 4Transportation6% of their works
- 5Computational Theory and Mathematics6% of their works
- 6Numerical Analysis5% of their works
Research topics
- Traffic control and management
- Transportation Planning and Optimization
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Topological and Geometric Data Analysis
- Traffic Prediction and Management Techniques
- Generative Adversarial Networks and Image Synthesis
- Gaze Tracking and Assistive Technology
Which keywords describe Negash Begashaw's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Intelligent Transportation Systems, Traffic Flow, Machine Learning, Cooperative Adaptive Cruise Control, Microscopic Simulation and Public Transport.
- Generative Adversarial Networks
- Eye Tracking
- Topological Methods
- Short-Term Forecasting
- Persistent Homology
- Adversarial Examples
- Public Transport
- Cooperative Adaptive Cruise Control
- Traffic Flow
- Neural Networks
- Deep Learning
- Intelligent Transportation Systems
- Machine Learning
- Microscopic Simulation
- Travel Behavior
- Anomaly Detection
- Robustness
- Spatio-Temporal Data
- Unsupervised
- Gaze Estimation
- Image Synthesis
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Deep Learning114 topics
- Neural Networks114 topics
- Intelligent Transportation Systems82 topics
- Traffic Flow82 topics
- Machine Learning62 topics
- Cooperative Adaptive Cruise Control51 topic
- Microscopic Simulation51 topic
- Public Transport41 topic
- Travel Behavior41 topic
- Adversarial Examples31 topic
- Anomaly Detection31 topic
- Persistent Homology31 topic
- Robustness31 topic
- Short-Term Forecasting31 topic
- Spatio-Temporal Data31 topic
- Topological Methods31 topic
- Unsupervised31 topic
- Eye Tracking21 topic
- Gaze Estimation21 topic
- Generative Adversarial Networks21 topic
- Image Synthesis21 topic
Where does Negash Begashaw work?
Negash Begashaw's main affiliation in the publication record is Benedict College, United States.
How many publications and citations does Negash Begashaw have?
OpenAlex counts 28 works and 37 citations for Negash Begashaw, an h-index of 3, ranking #5,173,167 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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