Linda Smail
Linda Smail publishes mostly in Artificial Intelligence, Management Science and Operations Research and Public Health, Environmental and Occupational Health, on topics such as Bayesian Modeling and Causal Inference, Data Management and Algorithms and Stock Market Forecasting Methods.
- World rank
- #1,350,825 of 7,710,434 ranked researchers
- Rank in United Arab Emirates
- #1,577 of 6,273
- Works
- 84
- Citations
- 676
- Citations per work
- 8.0
What does Linda Smail research?
Linda Smail's work is mostly in Computer Science (23%), Decision Sciences (6%), Medicine (5%).
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 else5262.5%
- Physical Sciences2023.3%
- Computer Science2023.3%
- Social Sciences89.6%
- Decision Sciences55.9%
- Social Sciences33.7%
- Health Sciences44.6%
- Medicine44.6%
- 1Artificial Intelligence16% of their works
- 2Management Science and Operations Research6% of their works
- 3Public Health, Environmental and Occupational Health5% of their works
- 4Computational Theory and Mathematics4% of their works
- 5Signal Processing4% of their works
- 6Education4% of their works
Research topics
Which keywords describe Linda Smail's research?
The keywords of their largest research topics: Bayesian Networks, Causal Inference, Deep Learning, Neural Networks, Depression, GPS Trajectories, Stock Market Prediction and Time Series Forecasting.
- Numerical Linear Algebra
- Hormone Therapy
- Cancer Survivorship
- Load Forecasting
- Electricity Price Forecasting
- Time Series Forecasting
- GPS Trajectories
- Neural Networks
- Causal Inference
- Bayesian Networks
- Deep Learning
- Depression
- Stock Market Prediction
- Trajectory Data Mining
- Entrepreneurial Orientation
- Opportunity Recognition
- Estrogen
- Matrix Computations
- Quality of Life
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
- Bayesian Networks131 topic
- Causal Inference131 topic
- Deep Learning112 topics
- Neural Networks112 topics
- Depression82 topics
- GPS Trajectories61 topic
- Stock Market Prediction61 topic
- Time Series Forecasting61 topic
- Trajectory Data Mining61 topic
- Electricity Price Forecasting51 topic
- Entrepreneurial Orientation51 topic
- Load Forecasting51 topic
- Opportunity Recognition51 topic
- Cancer Survivorship41 topic
- Estrogen41 topic
- Hormone Therapy41 topic
- Matrix Computations41 topic
- Numerical Linear Algebra41 topic
- Quality of Life41 topic
Where does Linda Smail work?
Linda Smail's main affiliation in the publication record is Zayed University, United Arab Emirates.
How many publications and citations does Linda Smail have?
OpenAlex counts 84 works and 676 citations for Linda Smail, an h-index of 12, ranking #1,350,825 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
Ask a question or share a note about Linda Smail. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.