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Researcher · Boston University · United States

Erfan Aasi

Erfan Aasi publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Reinforcement Learning in Robotics, Robotic Path Planning Algorithms and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0002-1740-5536 OpenAlex
World rank
#2,314,642
of 7,710,434 ranked researchers
Rank in United States
#689,828
of 1,627,098
Works
18
Citations
265
Citations per work
14.7
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Erfan Aasi

What does Erfan Aasi research?

Erfan Aasi's work is mostly in Computer Science (58%), Engineering (18%).

Physical Sciences: 14 works · 76.0% of their workComputer Science: 10 works · 57.5% of their workArtificial Intelligence: 5 works · 27.8% of their workComputer Vision and Pattern Recognition: 3 works · 18.5% of their workComputational Theory and Mathematics: 1 works · 5.6% of their workComputer Networks and Communications: 1 works · 5.6% of their workEngineering: 3 works · 18.5% of their workControl and Systems Engineering: 2 works · 11.1% of their workAutomotive Engineering: 1 works · 7.4% of their workEverything else: 4 works · 24.0% of their workTHEIR WORKErfan Aasi18works
Physical Sciences76%

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
    1. Computer Science1057.5%
    2. Engineering318.5%
  2. Everything else424.0%
  1. 1Artificial Intelligence28% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Control and Systems Engineering11% of their works
  4. 4Automotive Engineering7% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Computational Theory and Mathematics6% of their works

Research topics

Which keywords describe Erfan Aasi's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Multi-Agent Systems, Autonomous Vehicles, Collision Avoidance, Machine Learning, Time Series and Reinforcement Learning.

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.

All 23 words, with their numbers
  1. Deep Learning195 topics
  2. Neural Networks123 topics
  3. Multi-Agent Systems92 topics
  4. Autonomous Vehicles82 topics
  5. Collision Avoidance82 topics
  6. Machine Learning72 topics
  7. Time Series62 topics
  8. Reinforcement Learning51 topic
  9. Robotics51 topic
  10. Driver Assistance Systems41 topic
  11. Generative Adversarial Networks41 topic
  12. Image Synthesis41 topic
  13. Optimal Motion Planning41 topic
  14. Sampling-Based Algorithms41 topic
  15. Trajectory Prediction41 topic
  16. Anomaly Detection31 topic
  17. Clustering31 topic
  18. Dynamic Time Warping31 topic
  19. Fuzzy Logic Systems31 topic
  20. Model Checking31 topic
  21. Symbolic Model Checker31 topic
  22. Type-2 Fuzzy Sets31 topic
  23. Unsupervised31 topic

Where does Erfan Aasi work?

Erfan Aasi's main affiliation in the publication record is Boston University, United States.

How many publications and citations does Erfan Aasi have?

OpenAlex counts 18 works and 265 citations for Erfan Aasi, an h-index of 6, ranking #2,314,642 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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