Danielle C. Maddix
Danielle C. Maddix publishes mostly in Artificial Intelligence, Management Science and Operations Research and Signal Processing, on topics such as Time Series Analysis and Forecasting, Stock Market Forecasting Methods and Forecasting Techniques and Applications.
- World rank
- #2,244,476 of 7,710,434 ranked researchers
- Rank in United States
- #671,726 of 1,627,098
- Works
- 40
- Citations
- 1.1k
- Citations per work
- 27.0
What does Danielle C. Maddix research?
Danielle C. Maddix's work is mostly in Computer Science (30%), Engineering (15%), Decision Sciences (15%).
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 Sciences2051.0%
- Computer Science1230.4%
- Engineering615.2%
- Physics and Astronomy25.4%
- Everything else1433.8%
- Social Sciences615.2%
- Decision Sciences615.2%
- 1Artificial Intelligence17% of their works
- 2Management Science and Operations Research15% of their works
- 3Signal Processing13% of their works
- 4Computational Mechanics10% of their works
- 5Statistical and Nonlinear Physics5% of their works
- 6Electrical and Electronic Engineering5% of their works
Research topics
- Time Series Analysis and Forecasting
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Model Reduction and Neural Networks
- Gaussian Processes and Bayesian Inference
- Aerodynamics and Fluid Dynamics Research
- Computational Fluid Dynamics and Aerodynamics
- Energy Load and Power Forecasting
Which keywords describe Danielle C. Maddix's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Machine Learning, Clustering, Dynamic Time Warping, Stock Market Prediction and Time Series Forecasting.
- Variational Inference
- Load Forecasting
- High-Order Schemes
- Electricity Price Forecasting
- Partial Differential Equations
- Forecasting
- Time Series Forecasting
- Dynamic Time Warping
- Machine Learning
- Neural Networks
- Deep Learning
- Time Series
- Clustering
- Stock Market Prediction
- Exponential Smoothing
- Model Reduction
- Aerodynamics
- Gaussian Processes
- High-Speed Trains
- Turbulence Modeling
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 20 words, with their numbers
- Deep Learning415 topics
- Neural Networks223 topics
- Time Series222 topics
- Machine Learning183 topics
- Clustering151 topic
- Dynamic Time Warping151 topic
- Stock Market Prediction101 topic
- Time Series Forecasting101 topic
- Exponential Smoothing71 topic
- Forecasting71 topic
- Model Reduction61 topic
- Partial Differential Equations61 topic
- Aerodynamics51 topic
- Electricity Price Forecasting51 topic
- Gaussian Processes51 topic
- High-Order Schemes51 topic
- High-Speed Trains51 topic
- Load Forecasting51 topic
- Turbulence Modeling51 topic
- Variational Inference51 topic
Where does Danielle C. Maddix work?
Danielle C. Maddix's main affiliation in the publication record is Amazon (United States), United States.
How many publications and citations does Danielle C. Maddix have?
OpenAlex counts 40 works and 1,081 citations for Danielle C. Maddix, an h-index of 14, ranking #2,244,476 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.
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