| A comparison of flare forecasting methods. II. Benchmarks, metrics, and performance results for operational solar flare forecasting systems KD Leka, SH Park, K Kusano, J Andries, G Barnes, S Bingham, ... The Astrophysical Journal Supplement Series 243 (2), 36, 2019 | 110 | 2019 |
| A comparison of flare forecasting methods. III. Systematic behaviors of operational solar flare forecasting systems KD Leka, SH Park, K Kusano, J Andries, G Barnes, S Bingham, ... The Astrophysical Journal 881 (2), 101, 2019 | 63 | 2019 |
| A comparison of flare forecasting methods. IV. Evaluating consecutive-day forecasting patterns SH Park, KD Leka, K Kusano, J Andries, G Barnes, S Bingham, ... The Astrophysical Journal 890 (2), 124, 2020 | 42 | 2020 |
| Flaring rates and the evolution of sunspot group McIntosh classifications AE McCloskey, PT Gallagher, DS Bloomfield Solar Physics 291 (6), 1711-1738, 2016 | 41 | 2016 |
| Flare forecasting using the evolution of McIntosh sunspot classifications AE McCloskey, PT Gallagher, DS Bloomfield Journal of Space Weather and Space Climate 8, A34, 2018 | 36 | 2018 |
| Timing of the solar wind propagation delay between L1 and Earth based on machine learning C Baumann, AE McCloskey Journal of Space Weather and Space Climate 11, 41, 2021 | 12 | 2021 |
| Assessing the risk of geomagnetically induced currents in the German power grid L Pick, A McCloskey, A Guimarães Carvalho, J Berdermann | | 2022 |
| Geomagnetically induced currents in the German power grid L Pick, A Guimarães Carvalho, A McCloskey, J Berdermann | | 2022 |
| Solar wind propagation delay predictions between L1 and Earth based on machine learning C Baumann, AE McCloskey EGU General Assembly Conference Abstracts, EGU21-9624, 2021 | | 2021 |
| Sunspot Classifications & Solar Flare Prediction: Does machine learning improve upon Poisson-based prediction models? A McCloskey, S Bloomfield, P Gallagher EGU General Assembly Conference Abstracts, EGU21-10107, 2021 | | 2021 |
| Propagate L1 solar wind measurements to Earth with the help of machine learning C Baumann, A McCloskey | | 2021 |
| Prediction of the solar wind propagation delay for L1 to Earth using machine learning C Baumann, AE McCloskey AGU Fall Meeting Abstracts 2020, NG006-03, 2020 | | 2020 |
| Flare forecasting using the evolution of McIntosh sunspot AE McCloskey, PT Gallagher, DS Bloomfield | | 2018 |
| A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-Day Forecasting Patterns View all abstracts by submitter SH Park, KD Leka, K Kusano, J Andries, G Barnes, S Bingham, ... | | |
| Timing of the solar wind propagation delay C Baumann, AE McCloskey | | |
| Flaring Rates and the Evolution of Sunspot Group McIntosh Classifications View all abstracts by submitter AE McCloskey, PT Gallagher, DS Bloomfield | | |
| Magnetic Characteristics of Sunspot Groups and their Role in Producing Adverse Space Weather A McCloskey | | |
