François J. Bélisle
François J. Bélisle publishes mostly in Sociology and Political Science, Artificial Intelligence and Transportation, on topics such as Diverse Aspects of Tourism Research, Cruise Tourism Development and Management and Neural Networks and Applications.
- World rank
- #1,532,009 of 7,710,434 ranked researchers
- Rank in United States
- #478,998 of 1,627,098
- Works
- 21
- Citations
- 1.3k
- Citations per work
- 59.9
What does François J. Bélisle research?
François J. Bélisle's work is mostly in Social Sciences (34%), Computer Science (13%), 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
- Everything else941.4%
- Social Sciences839.7%
- Physical Sciences418.9%
- Computer Science313.2%
- Engineering15.7%
- 1Sociology and Political Science15% of their works
- 2Artificial Intelligence13% of their works
- 3Transportation13% of their works
- 4Ocean Engineering6% of their works
- 5Political Science and International Relations6% of their works
- 6Economics and Econometrics6% of their works
Research topics
Which keywords describe François J. Bélisle's research?
The keywords of their largest research topics: COVID-19 Impact, Deep Learning, Destination Image, Tourist Satisfaction, Cruise Tourism, Environmental Impact, Neural Networks and Intelligent Transportation Systems.
- Spatio-Temporal Data
- Object Tracking
- Machine Learning
- Active Learning
- Optimization
- Backpropagation Learning
- Intelligent Transportation Systems
- Environmental Impact
- Tourist Satisfaction
- Deep Learning
- COVID-19 Impact
- Destination Image
- Cruise Tourism
- Neural Networks
- Traffic Flow
- Ensemble Kalman Filter
- Self-Organizing Maps
- Cooperative Adaptive Cruise Control
- Microscopic Simulation
- Short-Term Forecasting
- Visual Tracking
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 21 words, with their numbers
- COVID-19 Impact122 topics
- Deep Learning94 topics
- Destination Image71 topic
- Tourist Satisfaction71 topic
- Cruise Tourism51 topic
- Environmental Impact51 topic
- Neural Networks52 topics
- Intelligent Transportation Systems42 topics
- Traffic Flow42 topics
- Backpropagation Learning31 topic
- Ensemble Kalman Filter31 topic
- Optimization31 topic
- Self-Organizing Maps31 topic
- Active Learning21 topic
- Cooperative Adaptive Cruise Control21 topic
- Machine Learning21 topic
- Microscopic Simulation21 topic
- Object Tracking21 topic
- Short-Term Forecasting21 topic
- Spatio-Temporal Data21 topic
- Visual Tracking21 topic
Where does François J. Bélisle work?
François J. Bélisle's main affiliation in the publication record is University of Georgia, United States.
How many publications and citations does François J. Bélisle have?
OpenAlex counts 21 works and 1,257 citations for François J. Bélisle, an h-index of 8, ranking #1,532,009 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.
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