Aleksandrs Glazs
Aleksandrs Glazs publishes mostly in Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Artificial Intelligence, on topics such as Neural Networks and Applications, Computer Graphics and Visualization Techniques and Advanced Numerical Analysis Techniques.
- World rank
- #748,028 of 1,633,909 ranked researchers
- Rank in Latvia
- #96 of 618
- Works
- 17
- Citations
- 1
- Citations per work
- 0.1
What does Aleksandrs Glazs research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Graphics and Computer-Aided Design20% of their works
- 2Control and Systems Engineering20% of their works
- 3Artificial Intelligence20% of their works
- 4Computational Mechanics20% of their works
- 5Medical Laboratory Technology20% of their works
Research topics
Which keywords describe Aleksandrs Glazs's research?
The keywords of their largest research topics: Simulation, Computer Graphics, Finite Elements, Maintenance, Medical Equipment, Neural Networks, NURBS and Optimization.
- Virtual Reality
- Optimization
- NURBS
- Maintenance
- Computer Graphics
- Simulation
- Finite Elements
- Medical Equipment
- Neural Networks
- Self-Organizing Maps
- Visualization
Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.
All 11 words, with their numbers
- Simulation22 topics
- Computer Graphics11 topic
- Finite Elements11 topic
- Maintenance11 topic
- Medical Equipment11 topic
- NURBS11 topic
- Neural Networks11 topic
- Optimization11 topic
- Self-Organizing Maps11 topic
- Virtual Reality11 topic
- Visualization11 topic
Where does Aleksandrs Glazs work?
Aleksandrs Glazs's main affiliation in the publication record is Riga Technical University, Latvia.
How many publications and citations does Aleksandrs Glazs have?
Science Explorer counts 17 works and 1 citations for Aleksandrs Glazs, ranking #748,028 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.