Martin A. Reiss

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    A[Martin A. Reiss]
    AC["Associated Concepts (24)"]
    AW["Authored Works (20)"]
    CA["Linked Co-Authors (18)"]
    CI["Linked Collaborating Institutions (43)"]
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ORCiD

https://orcid.org/0000-0002-6362-5054

OpenAlex ID

https://openalex.org/A5032090411 (API record)

Associated Concepts [?]

• Physics
• Quantum mechanics
• Nuclear physics
• Magnetic field
• Plasma
• Geography
• Solar wind
• Geology
• Computer science
• Meteorology
• Astronomy
• Coronal mass ejection
• Engineering
• Geophysics
• Space weather
• Mathematics
• Biology
• Heliosphere
• Environmental science
• Aerospace engineering
• Astrophysics
• Artificial intelligence
• Interplanetary spaceflight
• Chemistry

Authored Works

sorted by decreasing year, and then by display-name

• Writhed Magnetic Flux Rope Model
• The geomagnetic Vigil: How useful are Measurements at L5 for forecasting a Geomagnetic Index like Dst?
• Multipoint In Situ and Imaging Observations of Interplanetary Coronal Mass Ejections with Solar Orbiter, BepiColombo, Parker Solar Probe, Wind, and STEREO-A
• Multi-spacecraft observations for enabling breakthroughs in space weather forecasting
• Machine Learning for solving the Bz Problem in Space Weather Forecasting
• An open platform for assessing solar wind model solutions at Earth
• The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes
• Multipoint ICME events during the first 1.5 years of combined Solar Orbiter, BepiColombo, Parker Solar Probe, Wind and STEREO-A observations
• Modelling deformable and curved ICME flux rope structures
• Machine learning for predicting the Bz magnetic field component from upstream in situ observations of solar coronal mass ejections
• Information Infrastructure for the Validation of Ambient Solar Wind Models
• HI-based CME Modeling and the Influence of the Drag-force on the CME Frontal Shape
• Forecasting the ambient solar wind from coronal magnetic models using Gradient Boosting Regression
• Prediction of the In Situ Coronal Mass Ejection Rate for Solar Cycle 25: Implications for Parker Solar Probe In Situ Observations
• Predicting GICs from L1 solar wind data using geophysical methods in combination with machine learning
• Multi-point magnetic flux rope analysis for the 2020 April 19 CME observed in situ by Solar Orbiter and Wind
• In-Situ Multi-Spacecraft and Remote Imaging Observations of the First CME Detected by Solar Orbiter
• COSPAR International Space Weather Action Teams: Addressing Challenges Across the Field of Space Weather.
• An Adaptive Prediction System for Specifying Solar Wind Conditions Near the Sun
• Assessing the uncertainty of coronal hole boundary locations

Linked Co-Authors

• Andreas J. Weiss
• Astrid Veronig
• C. J. Henney
• Chris Lowder
• Christian Möstl
• Daniel Heyner
• Emma E. Davies
• Hannah T. Rüdisser
• J. P. Eastwood
• Luke Barnard
• M. J. Owens
• Manuela Temmer
• Peter Macniece
• Roger C. Bailey
• S. D. Bale
• Tanja Amerstorfer
• Teresa Nieves‐Chinchilla
• Ute Amerstorfer

Linked Collaborating Institutions

• Aberystwyth University, UK
• Atmospheric & Space Technology Research Associates (ASTRA)
• Austrian Academy of Sciences
• Austrian Institute of Space Science Research
• Catholic University, Washington DC
• Central Institute for Meteorology and Geodynamics, Austria
• Centre National d'Etudes Spatiales, Toulouse
• Chinese Academy of Sciences, Beijing
• European Science and Astronomy Center
• European Space Operations Center, Darmstadt
• Goddard Space Flight Center, Astrophysics Division
• Imperial College, Department of Physics
• Imperial College, London
• Indian Institute of Science Education and Research, Calcutta, India
• Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing
• Jet Propulsion Laboratory
• KF University of Graz, Institute of Physics
• Karl Franzens University of Graz, Austria
• Kirtland Air Force Research Laboratory, New Mexico
• Meteorological Office, UK
• Moscow State University, Russia
• NASA Goddard Space Flight Center, Maryland
• National Center for Atmospheric Research, High Altitude Observatory
• National Solar Observatory, Sunspot New Mexico
• New Jersey Institute of Technology
• Predictive Science Inc., California
• RAL, Space Science and Technology Department
• Royal Observatory of Belgium
• Saint Andrews University, UK
• Southwest Research Institute, Boulder
• Technical University of Braunschweig, Germany
• Technical University of Graz, Austria
• Umea University, Sweden
• University of Alberta, Canada
• University of California, Berkeley
• University of Colorado, Boulder
• University of Dublin Trinity College, Ireland
• University of Helsinki, Finland
• University of New Hampshire
• University of Oulu, Finland
• University of Reading, UK
• University of Science and Technology of China, Hefei
• University of Southampton, UK

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