Science Explorer Back to mapMap
Discussion
Researcher · Angel Kanchev University of Ruse · Bulgaria

Tsvetelina Kaneva

Tsvetelina Kaneva publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, on topics such as Solar Radiation and Photovoltaics, Smart Grid Energy Management and Energy Load and Power Forecasting.

OpenAlex
World rank
#6,876,068
of 7,710,434 ranked researchers
Rank in Bulgaria
#7,545
of 11,357
Works
19
Citations
27
Citations per work
1.4
h-index
3
i10-index 0Top 95% in Artificial Intelligence
Tsvetelina Kaneva

What does Tsvetelina Kaneva research?

Tsvetelina Kaneva's work is mostly in Computer Science (33%), Engineering (20%), Energy (7%).

Physical Sciences: 11 works · 58.6% of their workComputer Science: 6 works · 32.5% of their workArtificial Intelligence: 4 works · 21.7% of their workInformation Systems: 1 works · 6.5% of their workComputer Networks and Communications: 1 works · 4.3% of their workEngineering: 4 works · 19.6% of their workElectrical and Electronic Engineering: 4 works · 19.6% of their workEnergy: 1 works · 6.5% of their workRenewable Energy, Sustainability and the Environment: 1 works · 6.5% of their workEverything else: 7 works · 37.1% of their workSocial Sciences: 1 works · 4.3% of their workSocial Sciences: 1 works · 4.3% of their workSociology and Political Science: 1 works · 4.3% of their workTHEIR WORKTsvetelina Kaneva19works
Physical Sciences59%Social Sciences4%

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 Science632.5%
    2. Engineering419.6%
    3. Energy16.5%
  2. Everything else737.1%
    1. Social Sciences14.3%
  1. 1Artificial Intelligence22% of their works
  2. 2Electrical and Electronic Engineering20% of their works
  3. 3Renewable Energy, Sustainability and the Environment6% of their works
  4. 4Information Systems6% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Tsvetelina Kaneva's research?

The keywords of their largest research topics: Renewable Energy, Machine Learning, Deep Learning, Forecasting, Neural Networks, Solar Radiation, Demand Response and Electricity Price Forecasting.

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. Renewable Energy154 topics
  2. Machine Learning62 topics
  3. Deep Learning52 topics
  4. Forecasting51 topic
  5. Neural Networks52 topics
  6. Solar Radiation51 topic
  7. Demand Response41 topic
  8. Electricity Price Forecasting41 topic
  9. Load Forecasting41 topic
  10. Smart Grid41 topic
  11. Energy Security21 topic
  12. Geopolitics21 topic
  13. Affective States11 topic
  14. Automatic11 topic
  15. Classification11 topic
  16. Extraction11 topic
  17. Imbalanced Data11 topic
  18. Intelligent Tutoring Systems11 topic
  19. Opinion Mining11 topic
  20. Sentiment Analysis11 topic

Where does Tsvetelina Kaneva work?

Tsvetelina Kaneva's main affiliation in the publication record is Angel Kanchev University of Ruse, Bulgaria.

How many publications and citations does Tsvetelina Kaneva have?

OpenAlex counts 19 works and 27 citations for Tsvetelina Kaneva, an h-index of 3, ranking #6,876,068 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.

Discussion

Ask a question or share a note about Tsvetelina Kaneva. Posts are plain text and can be reported.