Marcus Greiff
Marcus Greiff publishes mostly in Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Target Tracking and Data Fusion in Sensor Networks, Gaussian Processes and Bayesian Inference and Robotic Path Planning Algorithms.
- World rank
- #1,593,672 of 1,633,909 ranked researchers
- Rank in United States
- #352,635 of 358,040
- Works
- 15
- Citations
- 7
- Citations per work
- 0.5
What does Marcus Greiff research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Aerospace Engineering28% of their works
- 2Artificial Intelligence28% of their works
- 3Computer Vision and Pattern Recognition17% of their works
- 4Control and Systems Engineering11% of their works
- 5Signal Processing6% of their works
- 6Computer Networks and Communications6% of their works
Research topics
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Reinforcement Learning in Robotics
- Distributed Sensor Networks and Detection Algorithms
- Generative Adversarial Networks and Image Synthesis
- Time Series Analysis and Forecasting
Which keywords describe Marcus Greiff's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Multi-Agent Systems, Robotics, 3D Mapping, Gaussian Processes, Machine Learning and Neural Networks.
- Time Series
- Image Synthesis
- Distributed Detection
- Autonomous Control
- SLAM
- Optimal Motion Planning
- Neural Networks
- Gaussian Processes
- Robotics
- Bayesian Inference
- Deep Learning
- Multi-Agent Systems
- 3D Mapping
- Machine Learning
- Nonlinear Estimation
- Particle Filters
- Sampling-Based Algorithms
- Clustering
- Generative Adversarial Networks
- Reinforcement Learning
- Wireless Sensor Networks
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.
All 21 words, with their numbers
- Deep Learning54 topics
- Bayesian Inference42 topics
- Multi-Agent Systems32 topics
- Robotics32 topics
- 3D Mapping21 topic
- Gaussian Processes21 topic
- Machine Learning21 topic
- Neural Networks22 topics
- Nonlinear Estimation21 topic
- Optimal Motion Planning21 topic
- Particle Filters21 topic
- SLAM21 topic
- Sampling-Based Algorithms21 topic
- Autonomous Control11 topic
- Clustering11 topic
- Distributed Detection11 topic
- Generative Adversarial Networks11 topic
- Image Synthesis11 topic
- Reinforcement Learning11 topic
- Time Series11 topic
- Wireless Sensor Networks11 topic
Where does Marcus Greiff work?
Marcus Greiff's main affiliation in the publication record is Mitsubishi Electric (United States), United States.
How many publications and citations does Marcus Greiff have?
Science Explorer counts 15 works and 7 citations for Marcus Greiff, ranking #1,593,672 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.