HelioWebM. B. Cohen
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A[M. B. Cohen]
AC["Associated Concepts (25)"]
AW["Authored Works (19)"]
CA["Linked Co-Authors (13)"]
CI["Linked Collaborating Institutions (11)"]
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AW== author ==>A
AW== author ==>CA
AW== affil ==>CI
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0002-7920-5759
- OpenAlex ID
- https://openalex.org/A5033749306 (API record)
Associated Concepts [?]
- Physics
- Geology
- Quantum mechanics
- Engineering
- Computer science
- Astronomy
- Geography
- Geophysics
- Telecommunications
- Ionosphere
- Optics
- Electrical engineering
- Meteorology
- Thermodynamics
- Nuclear physics
- Magnetic field
- Power (physics)
- Plasma
- Remote sensing
- Lightning (connector)
- Computational physics
- Environmental science
- Computer network
- Electron
- Mathematics
Authored Works
sorted by decreasing year, and then by display-name
- Sequence to Sequence Learning for Solar Wind Dynamics
- Quantifying the impact of lightning on the radiation belts
- Machine Learning for Ionospheric Forecasting by Emulation of Simulations and further Empirical Additions
- Ionospheric Characterization Using VLF Whistlers
- Detecting Sporadic E Using Supervised Learning Model
- Detecting Hurricane-Driven Disturbances to the D-Region at Arecibo, PR
- D-Region Ionosphere Electron Density Mapping via Tomography
- Combining ML with Existing Empirical Models for Earth's Topside Ionosphere
- A Look at Unifying VLF Transmitter and Lightning-Based D-Region Ionosphere Remote Sensing Techniques
- Understanding the interconnected space weather system: The Convergence Hub for the Exploration of Space Science (CHESS) project and workshop
- Trans-ionospheric signals from VLF Transmitters and Lightning Sferics as a D-Region Diagnostic
- Topside Ionosphere Model Using Satellite Data and Machine Learning
- Observations and modeling insights from a massive collection of lightning-induced ionospheric disturbances
- Morphology of 'Peak Monsoon' Mesoscale Convective System (MCS) Thunderstorms producing Up-ward Electric Discharges - the TLE's
- Extending solar wind forecasts using SDO data products
- Exploring the Feasibility of a Unified D-region Ionosphere Model
- Anomalous Behavior of the Thermosphere Triggered by the Category 4 Hurricane Maria.
- A New Four-Parameter D-Region Ionospheric Model: Including the Ledge
- 3D Machine Learning for Ionospheric Forecasting with Synthetic Data and Data-Model Fusion
Linked Co-Authors
- Adam Kellerman
- Amit Kumar Maurya
- David K. Richardson
- Fábio Vargas
- J. Lautenbach
- J. McCormick
- Jacob Bortnik
- Janusz Młynarczyk
- Joseph Hughes
- Karthik Venkataramani
- M. Gołkowski
- Pedrina Terra
- Ryan McGranaghan
Linked Collaborating Institutions
- AGH University of Science and Technology, Krakow, Poland
- Atmospheric & Space Technology Research Associates (ASTRA)
- Georgia Institute of Technology
- Indian Institute of Geomagnetism, Allahabad, India
- Indian Institute of Tropical Meteorology, Pune
- Pennsylvania State University
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Colorado, Denver
- University of Illinois, Urbana-Champaign
- Wright-Patterson Air Force Base, Ohio
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