Syama Sundar Rangapuram
Syama Sundar Rangapuram 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
- #846,645 of 7,710,434 ranked researchers
- Rank in United States
- #280,946 of 1,627,098
- Works
- 34
- Citations
- 1.8k
- Citations per work
- 52.7
What does Syama Sundar Rangapuram research?
Syama Sundar Rangapuram's work is mostly in Computer Science (52%), Decision Sciences (24%), Physics and Astronomy (4%).
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 Sciences2059.2%
- Computer Science1851.7%
- Physics and Astronomy14.3%
- Engineering13.2%
- Social Sciences823.7%
- Decision Sciences823.7%
- Everything else617.1%
- 1Artificial Intelligence27% of their works
- 2Management Science and Operations Research24% of their works
- 3Signal Processing18% of their works
- 4Computer Vision and Pattern Recognition6% of their works
- 5Statistical and Nonlinear Physics4% of their works
- 6Computational Mechanics3% of their works
Research topics
Which keywords describe Syama Sundar Rangapuram's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Dimensionality Reduction, Clustering, Dynamic Time Warping, Support Vector Machines and Machine Learning.
- Variational Inference
- Gaussian Processes
- Concept Drift
- Feature Selection
- Self-Organizing Maps
- Forecasting
- Time Series Forecasting
- Machine Learning
- Dynamic Time Warping
- Dimensionality Reduction
- Neural Networks
- Deep Learning
- Time Series
- Clustering
- Support Vector Machines
- Stock Market Prediction
- Exponential Smoothing
- Backpropagation Learning
- Face Recognition
- Clustering Algorithms
- Data Streams
- K-means
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 Learning364 topics
- Neural Networks273 topics
- Time Series262 topics
- Dimensionality Reduction202 topics
- Clustering161 topic
- Dynamic Time Warping161 topic
- Support Vector Machines162 topics
- Machine Learning132 topics
- Stock Market Prediction121 topic
- Time Series Forecasting121 topic
- Exponential Smoothing101 topic
- Forecasting101 topic
- Backpropagation Learning51 topic
- Self-Organizing Maps51 topic
- Face Recognition41 topic
- Feature Selection41 topic
- Clustering Algorithms31 topic
- Concept Drift31 topic
- Data Streams31 topic
- Gaussian Processes31 topic
- K-means31 topic
- Variational Inference31 topic
Where does Syama Sundar Rangapuram work?
Syama Sundar Rangapuram's main affiliation in the publication record is Amazon (United States), United States.
How many publications and citations does Syama Sundar Rangapuram have?
OpenAlex counts 34 works and 1,791 citations for Syama Sundar Rangapuram, an h-index of 16, ranking #846,645 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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