Navid Feroze
Navid Feroze publishes mostly in Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, on topics such as Statistical Distribution Estimation and Applications, Statistical Methods and Bayesian Inference and Bayesian Methods and Mixture Models.
- World rank
- #1,255,436 of 1,633,909 ranked researchers
- Rank in Pakistan
- #2,871 of 4,422
- Works
- 16
- Citations
- 18
- Citations per work
- 1.1
What does Navid Feroze research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability70% of their works
- 2Artificial Intelligence20% of their works
- 3Statistics, Probability and Uncertainty10% of their works
Research topics
Which keywords describe Navid Feroze's research?
The keywords of their largest research topics: Bayesian Inference, Generalized Exponential, Sensitivity Analysis, Skew Distributions, Bayesian Modeling, Multiple Imputation, Clustering and Mixture Models.
- Uncertainty Quantification
- Mixture Models
- Multiple Imputation
- Skew Distributions
- Generalized Exponential
- Bayesian Inference
- Sensitivity Analysis
- Bayesian Modeling
- Clustering
- Polynomial Chaos
Size is their works in the topics tagged with each word, from their 4 largest topics. Each links to the topic it comes from most.
All 10 words, with their numbers
- Bayesian Inference62 topics
- Generalized Exponential41 topic
- Sensitivity Analysis42 topics
- Skew Distributions41 topic
- Bayesian Modeling31 topic
- Multiple Imputation31 topic
- Clustering21 topic
- Mixture Models21 topic
- Polynomial Chaos11 topic
- Uncertainty Quantification11 topic
Where does Navid Feroze work?
Navid Feroze's main affiliation in the publication record is University of Azad Jammu and Kashmir, Pakistan.
How many publications and citations does Navid Feroze have?
Science Explorer counts 16 works and 18 citations for Navid Feroze, ranking #1,255,436 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.