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Researcher · University of Thessaly · Greece

Aspassia Daskalopulu

Aspassia Daskalopulu publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research, on topics such as Multi-Agent Systems and Negotiation, Energy Load and Power Forecasting and Logic, Reasoning, and Knowledge.

ORCID 0000-0003-1051-6302 OpenAlex
World rank
#1,795,389
of 7,710,434 ranked researchers
Rank in Greece
#7,432
of 33,280
Works
56
Citations
679
Citations per work
12.1
h-index
15
i10-index 19Top 22% in Artificial Intelligence
Aspassia Daskalopulu

What does Aspassia Daskalopulu research?

Aspassia Daskalopulu's work is mostly in Computer Science (38%), Engineering (27%), Decision Sciences (6%).

Physical Sciences: 39 works · 68.9% of their workComputer Science: 21 works · 37.8% of their workArtificial Intelligence: 17 works · 30.5% of their workComputer Vision and Pattern Recognition: 2 works · 4.3% of their workComputer Networks and Communications: 2 works · 3.0% of their workEngineering: 15 works · 27.4% of their workElectrical and Electronic Engineering: 15 works · 27.4% of their workMaterials Science: 2 works · 3.7% of their workMaterials Chemistry: 2 works · 3.7% of their workEverything else: 14 works · 25.0% of their workSocial Sciences: 3 works · 6.1% of their workDecision Sciences: 3 works · 6.1% of their workManagement Science and Operations Research: 3 works · 6.1% of their workTHEIR WORKAspassiaDaskalopulu56works
Physical Sciences69%Social Sciences6%

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 Science2137.8%
    2. Engineering1527.4%
    3. Materials Science23.7%
  2. Everything else1425.0%
    1. Decision Sciences36.1%
  1. 1Artificial Intelligence30% of their works
  2. 2Electrical and Electronic Engineering27% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Materials Chemistry4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Aspassia Daskalopulu's research?

The keywords of their largest research topics: Renewable Energy, Deep Learning, Description Logics, Knowledge Representation, Agent-Based Modeling, Electricity Price Forecasting, Load Forecasting and Multi-Agent Systems.

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 Energy212 topics
  2. Deep Learning202 topics
  3. Description Logics202 topics
  4. Knowledge Representation202 topics
  5. Agent-Based Modeling141 topic
  6. Electricity Price Forecasting141 topic
  7. Load Forecasting141 topic
  8. Multi-Agent Systems141 topic
  9. Answer Set Programming131 topic
  10. Modal Logic131 topic
  11. Demand Response71 topic
  12. Ontology71 topic
  13. Semantic Web71 topic
  14. Smart Grid71 topic
  15. Image Denoising61 topic
  16. Sparse Representations61 topic
  17. Heuristic Search51 topic
  18. Planning Systems51 topic
  19. Economic Dispatch41 topic
  20. Unit Commitment41 topic

Where does Aspassia Daskalopulu work?

Aspassia Daskalopulu's main affiliation in the publication record is University of Thessaly, Greece.

How many publications and citations does Aspassia Daskalopulu have?

OpenAlex counts 56 works and 679 citations for Aspassia Daskalopulu, an h-index of 15, ranking #1,795,389 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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