Alexis Boukouvalas
Alexis Boukouvalas publishes mostly in Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, on topics such as Gaussian Processes and Bayesian Inference, Single-cell and spatial transcriptomics and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #1,273,776 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #100,105 of 367,258
- Works
- 40
- Citations
- 1.3k
- Citations per work
- 32.8
What does Alexis Boukouvalas research?
Alexis Boukouvalas's work is mostly in Computer Science (32%), Biochemistry, Genetics and Molecular Biology (25%), Decision Sciences (8%).
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 Sciences1536.7%
- Computer Science1332.0%
- Engineering24.7%
- Everything else1231.2%
- Life Sciences1024.6%
- Social Sciences37.5%
- Decision Sciences37.5%
- 1Artificial Intelligence24% of their works
- 2Molecular Biology21% of their works
- 3Computational Theory and Mathematics8% of their works
- 4Management Science and Operations Research8% of their works
- 5Control and Systems Engineering5% of their works
- 6Biophysics4% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Single-cell and spatial transcriptomics
- Advanced Multi-Objective Optimization Algorithms
- Gene Regulatory Network Analysis
- Cell Image Analysis Techniques
- Bayesian Methods and Mixture Models
- Gene expression and cancer classification
- Control Systems and Identification
Which keywords describe Alexis Boukouvalas's research?
The keywords of their largest research topics: Machine Learning, Bayesian Inference, Variational Inference, Gaussian Processes, Sparse Regression, Gene Expression, Single-Cell and Transcriptomics.
- Parameter Estimation
- Data Analysis
- High-Content Screening
- Bioimage Analysis
- Gene Regulatory Networks
- Multiobjective Optimization
- Transcriptomics
- Gene Expression
- Gaussian Processes
- Bayesian Inference
- Machine Learning
- Variational Inference
- Sparse Regression
- Single-Cell
- Evolutionary Algorithms
- Clustering
- Stochastic Gene Expression
- Dirichlet Process
- Mixture Models
- Microarray
- System Identification
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 21 words, with their numbers
- Machine Learning213 topics
- Bayesian Inference182 topics
- Variational Inference182 topics
- Gaussian Processes141 topic
- Sparse Regression141 topic
- Gene Expression132 topics
- Single-Cell101 topic
- Transcriptomics101 topic
- Evolutionary Algorithms81 topic
- Multiobjective Optimization81 topic
- Clustering72 topics
- Gene Regulatory Networks51 topic
- Stochastic Gene Expression51 topic
- Bioimage Analysis41 topic
- Dirichlet Process41 topic
- High-Content Screening41 topic
- Mixture Models41 topic
- Data Analysis31 topic
- Microarray31 topic
- Parameter Estimation31 topic
- System Identification31 topic
Where does Alexis Boukouvalas work?
Alexis Boukouvalas's main affiliation in the publication record is University of Manchester, United Kingdom.
How many publications and citations does Alexis Boukouvalas have?
OpenAlex counts 40 works and 1,310 citations for Alexis Boukouvalas, an h-index of 15, ranking #1,273,776 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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