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Researcher · Singidunum University · Serbia

Eva Tuba

Eva Tuba publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications and Advanced Multi-Objective Optimization Algorithms.

ORCID 0000-0003-4866-9048 OpenAlex
World rank
#206,045
of 7,710,434 ranked researchers
Rank in Serbia
#66
of 18,168
Works
167
Citations
3.5k
Citations per work
21.1
h-index
34
i10-index 75Top 3.4% in Artificial Intelligence
Eva Tuba

What does Eva Tuba research?

Eva Tuba's work is mostly in Computer Science (56%), Engineering (8%).

Physical Sciences: 107 works · 64.0% of their workComputer Science: 93 works · 55.6% of their workArtificial Intelligence: 45 works · 26.8% of their workComputer Vision and Pattern Recognition: 31 works · 18.4% of their workComputer Networks and Communications: 12 works · 7.0% of their workComputational Theory and Mathematics: 6 works · 3.4% of their workEngineering: 14 works · 8.4% of their workElectrical and Electronic Engineering: 7 works · 4.4% of their workMedia Technology: 7 works · 4.0% of their workEverything else: 60 works · 36.0% of their workTHEIR WORKEva Tuba167works
Physical Sciences64%

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 Science9355.6%
    2. Engineering148.4%
  2. Everything else6036.0%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Computer Networks and Communications7% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Media Technology4% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Eva Tuba's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Differential Evolution, Deep Learning, Multiobjective Optimization, Genetic Programming and Machine 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 20 words, with their numbers
  1. Evolutionary Algorithms833 topics
  2. Particle Swarm Optimization642 topics
  3. Ant Colony Optimization481 topic
  4. Differential Evolution481 topic
  5. Deep Learning353 topics
  6. Multiobjective Optimization352 topics
  7. Genetic Programming191 topic
  8. Machine Learning191 topic
  9. Genetic Algorithm161 topic
  10. Surrogate Modeling161 topic
  11. Convolutional Neural Networks151 topic
  12. Image Recognition151 topic
  13. Neural Networks111 topic
  14. Self-Organizing Maps111 topic
  15. Energy-Efficient Protocols101 topic
  16. Optimal Motion Planning101 topic
  17. Sampling-Based Algorithms101 topic
  18. Wireless Sensor Networks101 topic
  19. Feature Matching91 topic
  20. Local Descriptors91 topic

Where does Eva Tuba work?

Eva Tuba's main affiliation in the publication record is Singidunum University, Serbia.

How many publications and citations does Eva Tuba have?

OpenAlex counts 167 works and 3,525 citations for Eva Tuba, an h-index of 34, ranking #206,045 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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