Miguel Fonseca
Miguel Fonseca publishes mostly in Statistics and Probability, Management Science and Operations Research and Electrical and Electronic Engineering, on topics such as Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference and Optimal Experimental Design Methods.
- World rank
- #4,039,447 of 7,710,434 ranked researchers
- Rank in Portugal
- #19,967 of 41,760
- Works
- 65
- Citations
- 877
- Citations per work
- 13.5
What does Miguel Fonseca research?
Miguel Fonseca's work is mostly in Mathematics (35%), Decision Sciences (10%), Engineering (5%).
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 Sciences2944.0%
- Mathematics2334.8%
- Engineering34.9%
- Chemistry34.3%
- Everything else2741.4%
- Social Sciences69.8%
- Decision Sciences69.8%
- Life Sciences22.4%
- Health Sciences22.4%
- Medicine22.4%
- 1Statistics and Probability35% of their works
- 2Management Science and Operations Research10% of their works
- 3Electrical and Electronic Engineering5% of their works
- 4Analytical Chemistry4% of their works
- 5Food Science2% of their works
- 6Surgery2% of their works
Research topics
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Optimal Experimental Design Methods
- Statistical Methods and Inference
- Spectroscopy and Chemometric Analyses
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
- Analytical Chemistry and Chromatography
Which keywords describe Miguel Fonseca's research?
The keywords of their largest research topics: Principal Component Analysis, Multicollinearity, Regression Analysis, Variable Selection, Bayesian Methods, Bayesian Modeling, Multiple Imputation and Experimental Design.
- Chiral Separation
- Generalized Exponential
- Adaptive Designs
- Multivariate Calibration
- Lasso
- Experimental Design
- Bayesian Modeling
- Variable Selection
- Multicollinearity
- Principal Component Analysis
- Regression Analysis
- Bayesian Methods
- Multiple Imputation
- Optimization
- Regularization
- Near-Infrared Spectroscopy
- False Discovery Rate
- Skew Distributions
- Liquid Chromatography
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 19 words, with their numbers
- Principal Component Analysis302 topics
- Multicollinearity231 topic
- Regression Analysis231 topic
- Variable Selection172 topics
- Bayesian Methods162 topics
- Bayesian Modeling141 topic
- Multiple Imputation141 topic
- Experimental Design131 topic
- Optimization131 topic
- Lasso101 topic
- Regularization101 topic
- Multivariate Calibration71 topic
- Near-Infrared Spectroscopy71 topic
- Adaptive Designs61 topic
- False Discovery Rate61 topic
- Generalized Exponential41 topic
- Skew Distributions41 topic
- Chiral Separation31 topic
- Liquid Chromatography31 topic
Where does Miguel Fonseca work?
Miguel Fonseca's main affiliation in the publication record is Universidade Nova de Lisboa, Portugal.
How many publications and citations does Miguel Fonseca have?
OpenAlex counts 65 works and 877 citations for Miguel Fonseca, an h-index of 14, ranking #4,039,447 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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