M. Gołkowski
flowchart A[M. Gołkowski] AC["Associated Concepts (24)"] AW["Authored Works (11)"] CA["Linked Co-Authors (14)"] CI["Linked Collaborating Institutions (18)"] 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/0000-0002-5418-148X
- OpenAlex ID
- https://openalex.org/A5053210459 (API record)
Associated Concepts [?]
- Physics
- Quantum mechanics
- Geology
- Nuclear physics
- Plasma
- Geophysics
- Magnetic field
- Geography
- Electron
- Computer science
- Engineering
- Optics
- Astronomy
- Meteorology
- Ionosphere
- Environmental science
- Computational physics
- Thermodynamics
- Chemistry
- Electrical engineering
- Whistler
- Telecommunications
- Magnetosphere
- Remote sensing
Authored Works
sorted by decreasing year, and then by display-name
- Source Characterization and Localization of Lightning Generated Whistlers Observed at Palmer Station
- FDTD Modeling of Whistler Mode Wave Propagation in Magnetospheric Ducts
- Backward Propagating Source as a Component of Rising Tone Whistler Mode Chorus Generation
- Active Control of the Radiation Belt Particle Populations with Ionospheric Amplification of VLF Waves
- Observations and modeling insights from a massive collection of lightning-induced ionospheric disturbances
- Nonlinear Whistler Mode Wave Particle Interactions: Role of Active Experiments and Observation Conjunctions
- Modeling Microburst Observations Driven by Nonlinear Interactions between Chorus Waves and Energetic Electrons
- ELF/VLF Observations from the Sri Lanka Station
- Characteristics of the drift rate of the rising tone chorus waves measured by the Van Allen Probes
- Automated Extraction of Magnetospheric Signals using Machine Learning
- A Statistical Study of Magnetopause Boundary Layer Energetic Electron Enhancements Using MMS
Linked Co-Authors
- Allison Jaynes
- Ashanthi Maxworth
- B. H. Mauk
- D. N. Baker
- Ho Y. Kim
- I. J. Cohen
- J Bernard Blake
- Jacob Bortnik
- M. B. Cohen
- Man Hua
- Oleksiy Agapitov
- P. A. Bernhardt
- Q. Ma
- T. Leonard
Linked Collaborating Institutions
- Aerospace Corporation, California
- Boston University, Massachusetts
- Direction des Applications Militaires, Ile-de-France
- Eotvos Lorand University, Hungary
- Georgia Institute of Technology
- Johns Hopkins University, Applied Physics Laboratory
- Swedish Institute of Space Physics, Kiruna
- University of Alaska, Fairbanks
- University of Calgary, Canada
- University of California, Berkeley
- University of California, Berkeley, Space Sciences Laboratory
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Colorado, Denver
- University of Iowa
- University of New Hampshire
- University of Peradeniya, Sri Lanka
- Wuhan University, China
Add Incoming Edge
Login via ORCiD to contribute.
Add Outgoing Edge
Login via ORCiD to contribute.