Christoph Bergmeir
Christoph Bergmeir publishes mostly in Management Science and Operations Research, Signal Processing and Artificial Intelligence, on topics such as Forecasting Techniques and Applications, Stock Market Forecasting Methods and Time Series Analysis and Forecasting.
- World rank
- #87,076 of 7,710,434 ranked researchers
- Rank in Australia
- #2,839 of 140,210
- Works
- 425
- Citations
- 9.6k
- Citations per work
- 22.5
What does Christoph Bergmeir research?
Christoph Bergmeir's work is mostly in Computer Science (28%), Decision Sciences (25%), Engineering (10%).
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 Sciences17340.8%
- Computer Science12128.5%
- Engineering419.6%
- Mathematics112.7%
- Everything else14534.2%
- Social Sciences10625.0%
- Decision Sciences10625.0%
- 1Management Science and Operations Research25% of their works
- 2Signal Processing14% of their works
- 3Artificial Intelligence14% of their works
- 4Electrical and Electronic Engineering7% of their works
- 5Statistics and Probability3% of their works
- 6Building and Construction2% of their works
Research topics
Which keywords describe Christoph Bergmeir's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Feature Extraction, Exponential Smoothing, Forecasting, Stock Market Prediction and Time Series Forecasting.
- Traffic Flow
- Music Information Retrieval
- Concept Drift
- Self-Organizing Maps
- Load Forecasting
- Short-Term Forecasting
- Dynamic Time Warping
- Time Series Forecasting
- Forecasting
- Feature Extraction
- Neural Networks
- Deep Learning
- Time Series
- Exponential Smoothing
- Stock Market Prediction
- Clustering
- Probabilistic Forecasting
- Electricity Price Forecasting
- Backpropagation Learning
- Audio Signal Classification
- Data Streams
- Spatio-Temporal Data
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 22 words, with their numbers
- Deep Learning1356 topics
- Neural Networks1345 topics
- Time Series952 topics
- Feature Extraction522 topics
- Exponential Smoothing511 topic
- Forecasting511 topic
- Stock Market Prediction461 topic
- Time Series Forecasting461 topic
- Clustering441 topic
- Dynamic Time Warping441 topic
- Probabilistic Forecasting262 topics
- Short-Term Forecasting262 topics
- Electricity Price Forecasting191 topic
- Load Forecasting191 topic
- Backpropagation Learning111 topic
- Self-Organizing Maps111 topic
- Audio Signal Classification81 topic
- Concept Drift81 topic
- Data Streams81 topic
- Music Information Retrieval81 topic
- Spatio-Temporal Data71 topic
- Traffic Flow71 topic
Where does Christoph Bergmeir work?
Christoph Bergmeir's main affiliation in the publication record is Monash University, Australia.
How many publications and citations does Christoph Bergmeir have?
OpenAlex counts 425 works and 9,571 citations for Christoph Bergmeir, an h-index of 32, ranking #87,076 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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