Subhamoy Chatterjee
flowchart A[Subhamoy Chatterjee] AC["Associated Concepts (25)"] AW["Authored Works (8)"] CA["Linked Co-Authors (7)"] CI["Linked Collaborating Institutions (6)"] A== dcterms:relation ==>AC AW== author ==>A AW== author ==>CA AW== affil ==>CI click AC "#associated-concepts" click AW "#authored-works" click CA "#co-authors" click CI "#collaborating-institutions" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0002-5014-7022
- OpenAlex ID
- https://openalex.org/A5078882652 (API record)
Associated Concepts [?]
- Physics
- Quantum mechanics
- Astronomy
- Computer science
- Astrophysics
- Geography
- Magnetic field
- Geology
- Mathematics
- Artificial intelligence
- Meteorology
- Observatory
- Nuclear physics
- Plasma
- Biology
- Philosophy
- Engineering
- Solar wind
- Sunspot
- Materials science
- Computer vision
- Statistics
- Optics
- Machine learning
- Geometry
Authored Works
sorted by decreasing year, and then by display-name
- Migration of Low Latitude Long Lived Coronal Holes in the McA: An Analysis of Rossby Waves Based on Coronal Hole Drift Speeds
- Homogenizing Solar Extreme Ultraviolet Imaging Surveys with Uncertainty: A model-ensemble approach
- Hierarchical Classification of Solar Flares, Coronal Mass Ejections, Interplanetary Shocks and Solar Wind Plasma Properties in Predicting the Peak Intensity of Energetic Storm Particle Events
- Spatio-temporal Drifts of Long-lived Equatorial Coronal Holes: Do they follow the Local Differential Rotation or Rossby Waves?
- Leveraging a Deep Neural Network to Efficiently Label Solar Flux Emergence Videos
- Increasing reliability of Solar Energetic Particle forecast through calibration of neural network outcome
- Forecasting the Occurrence and Subsequent Properties of Solar Energetic Particle Events using a Data-intensive Neural Network Approach
- A machine-learning oriented remote and in-situ database for forecasting SEP occurrence and properties
Linked Co-Authors
- Andrés Muñoz-Jaramillo
- H. M. Bain
- Ian Hewins
- Kenneth D. Moreland
- Mausumi Dikpati
- S. E. Gibson
- Scott W. McIntosh
Linked Collaborating Institutions
- Boston College, Massachusetts
- National Center for Atmospheric Research, Colorado
- National Center for Atmospheric Research, High Altitude Observatory
- Southwest Research Institute, Boulder
- Southwest Research Institute, Texas
- University of Texas, San Antonio
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