Júlio César Nievola
Júlio César Nievola publishes mostly in Artificial Intelligence, Molecular Biology and Information Systems, on topics such as Data Mining Algorithms and Applications, Gene expression and cancer classification and Neural Networks and Applications.
- World rank
- #3,886,387 of 7,710,434 ranked researchers
- Rank in Brazil
- #56,001 of 253,246
- Works
- 116
- Citations
- 848
- Citations per work
- 7.3
What does Júlio César Nievola research?
Júlio César Nievola's work is mostly in Computer Science (45%), Biochemistry, Genetics and Molecular Biology (11%), Neuroscience (4%).
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 Sciences5244.8%
- Computer Science5244.8%
- Everything else4740.4%
- Life Sciences1714.8%
- 1Artificial Intelligence29% of their works
- 2Molecular Biology11% of their works
- 3Information Systems7% of their works
- 4Signal Processing4% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
Which keywords describe Júlio César Nievola's research?
The keywords of their largest research topics: Machine Learning, Clustering, Feature Selection, Deep Learning, Data Mining, Frequent Patterns, Gene Expression and Microarray.
- EEG Analysis
- Data Streams
- Time Series
- Protein
- Dynamic Time Warping
- Self-Organizing Maps
- Microarray
- Frequent Patterns
- Deep Learning
- Clustering
- Machine Learning
- Feature Selection
- Data Mining
- Gene Expression
- Neural Networks
- Classification
- Genetic Programming
- Subcellular Localization
- Concept Drift
- Brain-Computer Interfaces
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 20 words, with their numbers
- Machine Learning534 topics
- Clustering242 topics
- Feature Selection242 topics
- Deep Learning232 topics
- Data Mining181 topic
- Frequent Patterns181 topic
- Gene Expression131 topic
- Microarray131 topic
- Neural Networks121 topic
- Self-Organizing Maps121 topic
- Classification111 topic
- Dynamic Time Warping111 topic
- Genetic Programming111 topic
- Protein111 topic
- Subcellular Localization111 topic
- Time Series111 topic
- Concept Drift101 topic
- Data Streams101 topic
- Brain-Computer Interfaces81 topic
- EEG Analysis81 topic
Where does Júlio César Nievola work?
Júlio César Nievola's main affiliation in the publication record is Pontifícia Universidade Católica do Paraná, Brazil.
How many publications and citations does Júlio César Nievola have?
OpenAlex counts 116 works and 848 citations for Júlio César Nievola, an h-index of 16, ranking #3,886,387 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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