Joel Perdiz Arrais
Joel Perdiz Arrais publishes mostly in Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Bioinformatics and Genomic Networks and Gene expression and cancer classification.
- World rank
- #3,047,971 of 7,710,434 ranked researchers
- Rank in Portugal
- #14,291 of 41,760
- Works
- 130
- Citations
- 1.4k
- Citations per work
- 11.1
What does Joel Perdiz Arrais research?
Joel Perdiz Arrais's work is mostly in Biochemistry, Genetics and Molecular Biology (42%), Computer Science (19%), Materials Science (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
- Life Sciences5542.5%
- Everything else4131.2%
- Physical Sciences3123.5%
- Computer Science2519.1%
- Materials Science64.4%
- Health Sciences42.8%
- Health Professions42.8%
- 1Molecular Biology42% of their works
- 2Computational Theory and Mathematics12% of their works
- 3Materials Chemistry4% of their works
- 4Artificial Intelligence4% of their works
- 5General Health Professions3% of their works
- 6Computer Vision and Pattern Recognition2% of their works
Research topics
Which keywords describe Joel Perdiz Arrais's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Bioinformatics, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Prediction and Protein.
- Mass Spectrometry
- Biomedical Ontologies
- High-Throughput
- Force Field
- Microarray
- Amino Acid Composition
- Protein
- Protein-Protein Interaction Networks
- Bioinformatics
- Molecular Docking
- Machine Learning
- Virtual Screening
- Gene Set Enrichment Analysis
- Prediction
- Molecular Dynamics
- Gene Expression
- Subcellular Localization
- Structure
- Materials Informatics
- Text Mining
- Proteomics
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 21 words, with their numbers
- Machine Learning974 topics
- Molecular Docking431 topic
- Virtual Screening431 topic
- Bioinformatics382 topics
- Gene Set Enrichment Analysis381 topic
- Protein-Protein Interaction Networks381 topic
- Prediction372 topics
- Protein372 topics
- Molecular Dynamics342 topics
- Amino Acid Composition191 topic
- Gene Expression191 topic
- Microarray191 topic
- Subcellular Localization191 topic
- Force Field181 topic
- Structure181 topic
- High-Throughput161 topic
- Materials Informatics161 topic
- Biomedical Ontologies141 topic
- Text Mining141 topic
- Mass Spectrometry71 topic
- Proteomics71 topic
Where does Joel Perdiz Arrais work?
Joel Perdiz Arrais's main affiliation in the publication record is University of Coimbra, Portugal.
How many publications and citations does Joel Perdiz Arrais have?
OpenAlex counts 130 works and 1,442 citations for Joel Perdiz Arrais, an h-index of 20, ranking #3,047,971 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.
Discussion
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