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Researcher · Institute of Electronics and Computer Science · Latvia

Ivars Namatēvs

Ivars Namatēvs publishes mostly in Artificial Intelligence, Plant Science and Computer Vision and Pattern Recognition, on topics such as Smart Agriculture and AI, Remote Sensing in Agriculture and Privacy-Preserving Technologies in Data.

ORCID 0000-0002-5988-5558 OpenAlex
World rank
#3,994,619
of 7,710,434 ranked researchers
Rank in Latvia
#906
of 4,070
Works
31
Citations
403
Citations per work
13.0
h-index
8
i10-index 6Top 56% in Artificial Intelligence
Ivars Namatēvs

What does Ivars Namatēvs research?

Ivars Namatēvs's work is mostly in Computer Science (37%), Agricultural and Biological Sciences (15%), Environmental Science (8%).

Physical Sciences: 16 works · 51.2% of their workComputer Science: 12 works · 37.1% of their workArtificial Intelligence: 6 works · 17.9% of their workComputer Vision and Pattern Recognition: 5 works · 15.4% of their workInformation Systems: 1 works · 3.8% of their workEnvironmental Science: 2 works · 7.7% of their workEcology: 2 works · 7.7% of their workEngineering: 2 works · 6.4% of their workElectrical and Electronic Engineering: 2 works · 6.4% of their workEverything else: 10 works · 33.4% of their workLife Sciences: 5 works · 15.4% of their workAgricultural and Biological Sciences: 5 works · 15.4% of their workPlant Science: 5 works · 15.4% of their workTHEIR WORKIvars Namatēvs31works
Life Sciences15%Physical Sciences51%

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 Science1237.1%
    2. Environmental Science27.7%
    3. Engineering26.4%
  2. Everything else1033.4%
    1. Agricultural and Biological Sciences515.4%
  1. 1Artificial Intelligence18% of their works
  2. 2Plant Science15% of their works
  3. 3Computer Vision and Pattern Recognition15% of their works
  4. 4Ecology8% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Ivars Namatēvs's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Plant Disease Detection, Smart Farming, Remote Sensing, Vegetation Monitoring, Neural Networks and Convolutional Neural Networks.

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 19 words, with their numbers
  1. Machine Learning163 topics
  2. Deep Learning144 topics
  3. Plant Disease Detection71 topic
  4. Smart Farming71 topic
  5. Remote Sensing61 topic
  6. Vegetation Monitoring61 topic
  7. Neural Networks42 topics
  8. Convolutional Neural Networks31 topic
  9. Differential Privacy31 topic
  10. Federated Learning31 topic
  11. Image Recognition31 topic
  12. Interpretable Models31 topic
  13. Machine Learning Interpretability31 topic
  14. Anomaly Detection21 topic
  15. Antioxidant Activity21 topic
  16. Backpropagation Learning21 topic
  17. Phenolic Profile21 topic
  18. Self-Organizing Maps21 topic
  19. Unsupervised21 topic

Where does Ivars Namatēvs work?

Ivars Namatēvs's main affiliation in the publication record is Institute of Electronics and Computer Science, Latvia.

How many publications and citations does Ivars Namatēvs have?

OpenAlex counts 31 works and 403 citations for Ivars Namatēvs, an h-index of 8, ranking #3,994,619 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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