Ewa Straszecka
Ewa Straszecka publishes mostly in Artificial Intelligence, Information Systems and Computational Theory and Mathematics, on topics such as Rough Sets and Fuzzy Logic, Advanced Scientific Research Methods and Fuzzy Logic and Control Systems.
- World rank
- #5,301,461 of 7,710,434 ranked researchers
- Rank in Poland
- #46,585 of 100,960
- Works
- 34
- Citations
- 256
- Citations per work
- 7.5
What does Ewa Straszecka research?
Ewa Straszecka's work is mostly in Computer Science (51%), Agricultural and Biological Sciences (8%), Medicine (6%).
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
- Physical Sciences1851.5%
- Computer Science1851.5%
- Everything else1029.2%
- Life Sciences38.1%
- Health Sciences26.1%
- Medicine26.1%
- Social Sciences25.1%
- Decision Sciences25.1%
- 1Artificial Intelligence24% of their works
- 2Information Systems15% of their works
- 3Computational Theory and Mathematics12% of their works
- 4Food Science8% of their works
- 5Public Health, Environmental and Occupational Health6% of their works
- 6Management Science and Operations Research5% of their works
Research topics
- Rough Sets and Fuzzy Logic
- Advanced Scientific Research Methods
- Fuzzy Logic and Control Systems
- Data Mining Algorithms and Applications
- Advanced Computational Techniques in Science and Engineering
- AI-based Problem Solving and Planning
- Statistical and Computational Modeling
- Technology and Human Factors in Education and Health
Which keywords describe Ewa Straszecka's research?
The keywords of their largest research topics: Machine Learning, Granular Computing, Rough Sets, Data Mining, Food Production, Mathematical Modeling, Association Rules and Frequent Patterns.
- Planning Systems
- Inductive Modeling
- GMDH-type Neural Networks
- Type-2 Fuzzy Sets
- Healthcare
- Frequent Patterns
- Mathematical Modeling
- Data Mining
- Granular Computing
- Machine Learning
- Rough Sets
- Food Production
- Association Rules
- Fuzzy Logic Systems
- IoT
- Artificial Intelligence
- Heuristic Search
- Personalized Medicine
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 18 words, with their numbers
- Machine Learning173 topics
- Granular Computing121 topic
- Rough Sets121 topic
- Data Mining112 topics
- Food Production71 topic
- Mathematical Modeling71 topic
- Association Rules61 topic
- Frequent Patterns61 topic
- Fuzzy Logic Systems61 topic
- Healthcare61 topic
- IoT61 topic
- Type-2 Fuzzy Sets61 topic
- Artificial Intelligence51 topic
- GMDH-type Neural Networks51 topic
- Heuristic Search51 topic
- Inductive Modeling51 topic
- Personalized Medicine51 topic
- Planning Systems51 topic
Where does Ewa Straszecka work?
Ewa Straszecka's main affiliation in the publication record is Silesian University of Technology, Poland.
How many publications and citations does Ewa Straszecka have?
OpenAlex counts 34 works and 256 citations for Ewa Straszecka, an h-index of 7, ranking #5,301,461 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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