Ferdinand F. Batayola
Ferdinand F. Batayola publishes mostly in Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence, on topics such as Energy Load and Power Forecasting, Stock Market Forecasting Methods and Innovations in Aquaponics and Hydroponics Systems.
- World rank
- #5,953,052 of 7,710,434 ranked researchers
- Rank in Philippines
- #4,258 of 6,138
- Works
- 22
- Citations
- 42
- Citations per work
- 1.9
What does Ferdinand F. Batayola research?
Ferdinand F. Batayola's work is mostly in Engineering (32%), Decision Sciences (14%), Computer Science (11%).
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 Sciences1043.6%
- Engineering732.3%
- Computer Science211.3%
- Everything else732.3%
- Social Sciences314.5%
- Decision Sciences314.5%
- Life Sciences29.6%
- 1Electrical and Electronic Engineering32% of their works
- 2Management Science and Operations Research14% of their works
- 3Artificial Intelligence6% of their works
- 4Plant Science5% of their works
- 5Aquatic Science5% of their works
- 6Computer Vision and Pattern Recognition5% of their works
Research topics
- Energy Load and Power Forecasting
- Stock Market Forecasting Methods
- Innovations in Aquaponics and Hydroponics Systems
- IoT-based Smart Home Systems
- Forecasting Techniques and Applications
- Plant and Biological Electrophysiology Studies
- Anomaly Detection Techniques and Applications
- Smart Grid Energy Management
Which keywords describe Ferdinand F. Batayola's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Renewable Energy, Electricity Price Forecasting, Load Forecasting, Smart Home, Time Series and Stock Market Prediction.
- Smart Grid
- Electrical Signals
- Anomaly Detection
- Sustainability
- Forecasting
- Aquaponics
- Stock Market Prediction
- Smart Home
- Electricity Price Forecasting
- Deep Learning
- Neural Networks
- Renewable Energy
- Load Forecasting
- Time Series
- Time Series Forecasting
- Exponential Smoothing
- Home Automation
- Wireless
- Demand Response
- Glutamate Receptor-Like Genes
- Unsupervised
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 21 words, with their numbers
- Neural Networks144 topics
- Deep Learning113 topics
- Renewable Energy72 topics
- Electricity Price Forecasting51 topic
- Load Forecasting51 topic
- Smart Home52 topics
- Time Series52 topics
- Stock Market Prediction41 topic
- Time Series Forecasting41 topic
- Aquaponics31 topic
- Exponential Smoothing31 topic
- Forecasting31 topic
- Home Automation31 topic
- Sustainability31 topic
- Wireless31 topic
- Anomaly Detection21 topic
- Demand Response21 topic
- Electrical Signals21 topic
- Glutamate Receptor-Like Genes21 topic
- Smart Grid21 topic
- Unsupervised21 topic
Where does Ferdinand F. Batayola work?
Ferdinand F. Batayola's main affiliation in the publication record is Cebu Technological University, Philippines.
How many publications and citations does Ferdinand F. Batayola have?
OpenAlex counts 22 works and 42 citations for Ferdinand F. Batayola, an h-index of 4, ranking #5,953,052 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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