Monica G. Bobra
Astronomy and Astrophysics · 2014–2020
A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 80 citations into it; #5,564 of 10,964 by trust here, #8,273 by citations
- Molecular Biology — 37 citations into it
- Artificial Intelligence — 22 citations into it
- Oceanography — 5 citations into it
Whom Monica G. Bobra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- K. Leka
- C. Schrijver
- J. Todd Hoeksema
- J. Mason
- Isabelle M Guyon
- Xudong Sun
- Yuhong Fan
- T. Wiegelmann
- G. Barnes
- D. S. Bloomfield
Who trusts Monica G. Bobra overall
- Enrico Camporeale
- Chang Liu
- Na Deng
- Yuko Hada Muranushi
- Jason Tsong-Li Wang
- Xudong Sun
- S. Couvidat
- J. Todd Hoeksema
- Haimin Wang
- Takayuki Muranushi
Papers from Monica G. Bobra's perspective
Ordered by how strongly the researchers Monica G. Bobra trusts endorse each paper. Same corpus, a different order for every researcher.
- An Overview of Existing Algorithms for Resolving the 180° Ambiguity in Vector Magnetic Fields: Quantitative Tests with Synthetic Data
- The Hinode (Solar-B) Mission: An Overview
- Preprocessing of Vector Magnetograph Data for a Nonlinear Force-Free Magnetic Field Reconstruction
- Optimization code with weighting function for the reconstruction of coronal magnetic fields
- Correlation of the Coronal Mass Ejection Productivity of Solar Active Regions with Measures of Their Global Nonpotentiality from Vector Magnetograms: Baseline Results
- Resolving the 180° Ambiguity in Solar Vector Magnetic Field Data: Evaluating the Effects of Noise, Spatial Resolution, and Method Assumptions
- A Characteristic Magnetic Field Pattern Associated with All Major Solar Flares and Its Use in Flare Forecasting
- Photospheric Magnetic Field Properties of Flaring versus Flare-quiet Active Regions. IV. A Statistically Significant Sample
- Coordinate systems for solar image data
- Quantitative Forecasting of Major Solar Flares
Their papers
- The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance (2014) — 541 citations
- The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package (2020) — 360 citations
- WHY IS THE GREAT SOLAR ACTIVE REGION 12192 FLARE-RICH BUT CME-POOR? (2015) — 164 citations
- The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches (2014) — 669 citations
- SOLAR FLARE PREDICTION USING SDO/HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM (2014) — 325 citations