Sangahn Kim
Sangahn Kim publishes mostly in Control and Systems Engineering, Statistics, Probability and Uncertainty and Statistics and Probability, on topics such as Fault Detection and Control Systems, Advanced Statistical Process Monitoring and Advanced Statistical Methods and Models.
- World rank
- #2,263,500 of 7,710,434 ranked researchers
- Rank in United States
- #676,771 of 1,627,098
- Works
- 19
- Citations
- 307
- Citations per work
- 16.2
What does Sangahn Kim research?
Sangahn Kim's work is mostly in Engineering (27%), Decision Sciences (27%), Computer Science (14%).
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 Sciences1052.7%
- Engineering527.3%
- Computer Science314.5%
- Mathematics210.9%
- Social Sciences632.8%
- Decision Sciences527.3%
- Social Sciences15.5%
- Everything else314.5%
- 1Control and Systems Engineering27% of their works
- 2Statistics, Probability and Uncertainty27% of their works
- 3Statistics and Probability11% of their works
- 4Artificial Intelligence11% of their works
- 5Sociology and Political Science6% of their works
- 6Computer Science Applications4% of their works
Research topics
- Fault Detection and Control Systems
- Advanced Statistical Process Monitoring
- Advanced Statistical Methods and Models
- Anomaly Detection Techniques and Applications
- Scientific Measurement and Uncertainty Evaluation
- Advanced Control Systems Optimization
- Data Stream Mining Techniques
- Software System Performance and Reliability
Which keywords describe Sangahn Kim's research?
The keywords of their largest research topics: Quality Assurance, Fault Detection, Process Monitoring, Healthcare Improvement, Statistical Process Control, Outlier Detection, Anomaly Detection and Multicollinearity.
- Log Analysis
- Concept Drift
- Model Predictive Control
- Measurement Uncertainty
- Deep Learning
- Multicollinearity
- Outlier Detection
- Healthcare Improvement
- Fault Detection
- Quality Assurance
- Process Monitoring
- Statistical Process Control
- Anomaly Detection
- Regression Analysis
- Unsupervised
- Redefinition of SI Units
- Optimization
- Data Streams
- Performance Prediction
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 19 words, with their numbers
- Quality Assurance152 topics
- Fault Detection131 topic
- Process Monitoring131 topic
- Healthcare Improvement121 topic
- Statistical Process Control121 topic
- Outlier Detection112 topics
- Anomaly Detection62 topics
- Multicollinearity61 topic
- Regression Analysis61 topic
- Deep Learning51 topic
- Unsupervised51 topic
- Measurement Uncertainty31 topic
- Redefinition of SI Units31 topic
- Model Predictive Control21 topic
- Optimization21 topic
- Concept Drift11 topic
- Data Streams11 topic
- Log Analysis11 topic
- Performance Prediction11 topic
Where does Sangahn Kim work?
Sangahn Kim's main affiliation in the publication record is Siena College, United States.
How many publications and citations does Sangahn Kim have?
OpenAlex counts 19 works and 307 citations for Sangahn Kim, an h-index of 9, ranking #2,263,500 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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