Naoki Awaya
Naoki Awaya publishes mostly in Statistics and Probability, Artificial Intelligence and Applied Mathematics, on topics such as Bayesian Methods and Mixture Models, Statistical Methods and Bayesian Inference and Statistical Methods and Inference.
- World rank
- #5,790,654 of 7,710,434 ranked researchers
- Rank in Japan
- #207,526 of 383,136
- Works
- 20
- Citations
- 6
- Citations per work
- 0.3
What does Naoki Awaya research?
Naoki Awaya's work is mostly in Mathematics (50%), Computer Science (34%), Engineering (2%).
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 Sciences1786.0%
- Mathematics1050.0%
- Computer Science734.0%
- Engineering02.0%
- Everything else314.0%
- 1Statistics and Probability40% of their works
- 2Artificial Intelligence32% of their works
- 3Applied Mathematics6% of their works
- 4Geometry and Topology4% of their works
- 5Control and Systems Engineering2% of their works
- 6Computer Vision and Pattern Recognition2% of their works
Research topics
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Gaussian Processes and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Target Tracking and Data Fusion in Sensor Networks
- Point processes and geometric inequalities
- Data Analysis with R
Which keywords describe Naoki Awaya's research?
The keywords of their largest research topics: Bayesian Inference, Variational Inference, Model Selection, Bayesian Modeling, Clustering, Mixture Models, Multiple Imputation and Regularization.
- R language
- Spatstat
- Particle Filters
- Statistical Analysis
- Markov Chain
- Bayesian Monte Carlo
- Big Data
- Regularization
- Mixture Models
- Bayesian Modeling
- Variational Inference
- Bayesian Inference
- Model Selection
- Clustering
- Multiple Imputation
- Variable Selection
- Machine Learning
- Gaussian Processes
- Sparse Regression
- Nonlinear Estimation
- Point Processes
- Data Visualization
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 22 words, with their numbers
- Bayesian Inference143 topics
- Variational Inference122 topics
- Model Selection102 topics
- Bayesian Modeling81 topic
- Clustering81 topic
- Mixture Models81 topic
- Multiple Imputation81 topic
- Regularization61 topic
- Variable Selection61 topic
- Big Data52 topics
- Machine Learning52 topics
- Bayesian Monte Carlo41 topic
- Gaussian Processes41 topic
- Markov Chain41 topic
- Sparse Regression41 topic
- Statistical Analysis32 topics
- Nonlinear Estimation21 topic
- Particle Filters21 topic
- Point Processes21 topic
- Spatstat21 topic
- Data Visualization11 topic
- R language11 topic
Where does Naoki Awaya work?
Naoki Awaya's main affiliation in the publication record is Meiji University, Japan.
How many publications and citations does Naoki Awaya have?
OpenAlex counts 20 works and 6 citations for Naoki Awaya, an h-index of 2, ranking #5,790,654 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.
Discussion
Ask a question or share a note about Naoki Awaya. Posts are plain text and can be reported.