Joseph Naus
Joseph Naus publishes mostly in Artificial Intelligence, Statistics and Probability and Epidemiology, on topics such as Bayesian Methods and Mixture Models, Data-Driven Disease Surveillance and Stochastic processes and statistical mechanics.
- World rank
- #772,313 of 7,710,434 ranked researchers
- Rank in United States
- #258,656 of 1,627,098
- Works
- 103
- Citations
- 2.5k
- Citations per work
- 24.3
What does Joseph Naus research?
Joseph Naus's work is mostly in Mathematics (26%), Computer Science (25%), Biochemistry, Genetics and Molecular Biology (7%).
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 Sciences5250.7%
- Mathematics2625.6%
- Computer Science2625.1%
- Everything else3129.9%
- Life Sciences76.6%
- Health Sciences76.6%
- Medicine76.6%
- Social Sciences66.2%
- Decision Sciences66.2%
- 1Artificial Intelligence25% of their works
- 2Statistics and Probability20% of their works
- 3Epidemiology7% of their works
- 4Molecular Biology7% of their works
- 5Management Science and Operations Research6% of their works
- 6Mathematical Physics5% of their works
Research topics
- Bayesian Methods and Mixture Models
- Data-Driven Disease Surveillance
- Stochastic processes and statistical mechanics
- Statistical Distribution Estimation and Applications
- Probability and Risk Models
- Advanced Statistical Process Monitoring
- Data Management and Algorithms
- Statistical Methods and Bayesian Inference
Which keywords describe Joseph Naus's research?
The keywords of their largest research topics: Bayesian Inference, Clustering, Mixture Models, Digital Epidemiology, Disease Surveillance, Generalized Exponential, Healthcare Improvement and Insurance.
- Multiple Imputation
- Bayesian Modeling
- Skew Distributions
- Risk
- Insurance
- Generalized Exponential
- Digital Epidemiology
- Clustering
- Bayesian Inference
- Mixture Models
- Disease Surveillance
- Healthcare Improvement
- Interacting Particle Systems
- Scaling Limits
- Statistical Process Control
- GPS Trajectories
- Trajectory Data Mining
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 17 words, with their numbers
- Bayesian Inference372 topics
- Clustering281 topic
- Mixture Models281 topic
- Digital Epidemiology141 topic
- Disease Surveillance141 topic
- Generalized Exponential91 topic
- Healthcare Improvement91 topic
- Insurance91 topic
- Interacting Particle Systems91 topic
- Risk91 topic
- Scaling Limits91 topic
- Skew Distributions91 topic
- Statistical Process Control91 topic
- Bayesian Modeling81 topic
- GPS Trajectories81 topic
- Multiple Imputation81 topic
- Trajectory Data Mining81 topic
Where does Joseph Naus work?
Joseph Naus's main affiliation in the publication record is Rutgers, The State University of New Jersey, United States.
How many publications and citations does Joseph Naus have?
OpenAlex counts 103 works and 2,498 citations for Joseph Naus, an h-index of 26, ranking #772,313 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 Joseph Naus. Posts are plain text and can be reported.