Seemon Thomas
Seemon Thomas publishes mostly in Statistics and Probability, Computer Networks and Communications and Artificial Intelligence, on topics such as Bayesian Methods and Mixture Models, Advanced Statistical Methods and Models and Statistical Distribution Estimation and Applications.
- World rank
- #6,549,430 of 7,710,434 ranked researchers
- Rank in United States
- #1,530,909 of 1,627,098
- Works
- 16
- Citations
- 26
- Citations per work
- 1.6
What does Seemon Thomas research?
Seemon Thomas's work is mostly in Computer Science (29%), Mathematics (26%), Engineering (6%).
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 Sciences1060.0%
- Computer Science528.6%
- Mathematics425.7%
- Engineering15.7%
- Everything else531.4%
- Social Sciences15.7%
- Decision Sciences15.7%
- Life Sciences02.9%
- 1Statistics and Probability26% of their works
- 2Computer Networks and Communications14% of their works
- 3Artificial Intelligence14% of their works
- 4Statistics, Probability and Uncertainty6% of their works
- 5Aerospace Engineering6% of their works
- 6Food Science3% of their works
Research topics
- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Food Supply Chain Traceability
- Advanced Multi-Objective Optimization Algorithms
- Energy Efficient Wireless Sensor Networks
- Wireless Communication Networks Research
Which keywords describe Seemon Thomas's research?
The keywords of their largest research topics: Bayesian Inference, Clustering, Mixture Models, Multicollinearity, Regression Analysis, Generalized Exponential, Skew Distributions and Sensitivity Analysis.
- Wireless Networks
- Power Control
- Food Supply Chain
- Energy-Efficient Protocols
- Sensitivity Analysis
- Generalized Exponential
- Multicollinearity
- Clustering
- Bayesian Inference
- Mixture Models
- Regression Analysis
- Skew Distributions
- Uncertainty Quantification
- Evolutionary Algorithms
- Multiobjective Optimization
- Traceability
- Wireless Sensor Networks
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 17 words, with their numbers
- Bayesian Inference82 topics
- Clustering51 topic
- Mixture Models51 topic
- Multicollinearity41 topic
- Regression Analysis41 topic
- Generalized Exponential31 topic
- Skew Distributions31 topic
- Sensitivity Analysis21 topic
- Uncertainty Quantification21 topic
- Energy-Efficient Protocols11 topic
- Evolutionary Algorithms11 topic
- Food Supply Chain11 topic
- Multiobjective Optimization11 topic
- Power Control11 topic
- Traceability11 topic
- Wireless Networks11 topic
- Wireless Sensor Networks11 topic
Where does Seemon Thomas work?
Seemon Thomas's main affiliation in the publication record is Thomas College, United States.
How many publications and citations does Seemon Thomas have?
OpenAlex counts 16 works and 26 citations for Seemon Thomas, an h-index of 3, ranking #6,549,430 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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
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