Publications of A. Hamada

A list of publications authored or co-authored by A. Hamada, derived from the SAO/NASA Astrophysics Data System (ADS). The number in brackets after each title indicates the number of citations that the paper has received.

Orcid ID: 0000-0002-8900-8011

List of publications ordered by citations
Number of papers: 15 (refereed: 11)
No. of citations: 107
First author papers: 7 (refereed: 6)

2026

1. Deep Learning-Based Prediction of High-Speed Solar Wind Streams: Spatio-Temporal Dependencies in Coronal Hole Dynamics [0]
   Abraham-Alowonle, J. J., Hamada, Amr, Abdelwahab, Moataz, Kusano, Kanya & Mahrous, Ayman, Earth and Space Science, 13, e2025EA004523

2025

1. FArSide Trained Active Region Recognition (FASTARR): A Machine Learning Approach [0]
   Hamada, Amr, Creelman, Mitchell, Jain, Kiran & Lindsey, Charles, SDO 2025 Science Workshop: A Gathering of the Helio-hive!, p. 176
2. FArSide Trained Active Region Recognition (FASTARR): A Machine Learning Approach [2]
   Hamada, Amr, Creelman, Mitchell, Jain, Kiran & Lindsey, Charles, ApJS, 278, 53
3. Assessing GONG and SDO/HMI Far side Active Region Detection Pipelines with Direct Far side Observations from SO/PHI [0]
   Jain, Kiran, Strecker, Hanna, Suarez, David Orozco, Lindsey, Charles, Creelman, Mitchell, Hamada, Amr, Oien, Niles, Pevtsov, Alexei, Tripathy, Sushant & Wentzel, Thomas M., SDO 2025 Science Workshop: A Gathering of the Helio-hive!, p. 121

2024

1. Far-side Active Regions Based on Helioseismic and EUV Measurements: A New Data Set for Heliospheric Machine Learning Advancements [3]
   Hamada, Amr, Jain, Kiran, Lindsey, Charles, Creelman, Mitchell & Oien, Niles, ApJ, 977, 85
2. Deep learning-based prediction of CME-driven shock standoff distances in metric type II radio emissions [0]
   Kyeremateng, Kwabena, Hamada, Amr, Elsaid, Ahmed & Mahrous, Ayman, Astrophysics and Space Science, 369, 57
3. Forecasting for Energetic Events into the 4-pi Heliosphere [0]
   Leka, K. D., Wagner, Eric, Jain, Kiran, Hamada, Amr, Upton, Lisa A., Whitman, Kathryn & Jha, Bibhuti Kumar, 45th COSPAR Scientific Assembly, 45, p. 970
4. A Community Data Set for Comparing Automated Coronal Hole Detection Schemes [13]
   Reiss, Martin A., Muglach, Karin, Mason, Emily, Davies, Emma E., Chakraborty, Shibaji, Delouille, Veronique, Downs, Cooper, Garton, Tadhg M., Grajeda, Jeremy A., Hamada, Amr, Heinemann, Stephan G., Hofmeister, Stefan, Illarionov, Egor, Jarolim, Robert, Krista, Larisza, Lowder, Chris, Verwichte, Erwin, Arge, Charles N., Boucheron, Laura E., Foullon, Claire, Kirk, Michael S., Kosovichev, Alexander, Leisner, Andrew, Möstl, Christian, Turtle, James & Veronig, Astrid, ApJS, 271, 6

2022

1. Prediction of coronal hole related solar wind speed using artificial neural network [0]
   Abdo, Rehab, Hamada, Amr, Hayakawa, Hisashi & Mahrous, Ayman, 44th COSPAR Scientific Assembly. Held 16-24 July, 44, p. 1344

2021

1. A Uniform Series of Low-Latitude Coronal Holes in 1973-2018 [4]
   Hamada, A., Asikainen, T. & Mursula, K., Solar Physics, 296, 40
2. The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes [24]
   Reiss, Martin A., Muglach, Karin, Möstl, Christian, Arge, Charles N., Bailey, Rachel, Delouille, Véronique, Garton, Tadhg M., Hamada, Amr, Hofmeister, Stefan, Illarionov, Egor, Jarolim, Robert, Kirk, Michael S. F., Kosovichev, Alexander, Krista, Larisza, Lee, Sangwoo, Lowder, Chris, MacNeice, Peter J., Veronig, Astrid & Cospar Iswat Coronal Hole Boundary Working Team, ApJ, 913, 28

2020

1. New Homogeneous Dataset of Solar EUV Synoptic Maps from SOHO/EIT and SDO/AIA [16]
   Hamada, A., Asikainen, T. & Mursula, K., Solar Physics, 295, 2

2019

1. High-Speed Solar Wind Streams in 2007-2008: Turning on the Russell-McPherron Effect [6]
   Munteanu, C., Hamada, A. & Mursula, K., Journal of Geophysical Research (Space Physics), 124, 8913

2018

1. Automated Identification of Coronal Holes from Synoptic EUV Maps [32]
   Hamada, Amr, Asikainen, Timo, Virtanen, Ilpo & Mursula, Kalevi, Solar Physics, 293, 71

2015

1. TEC variations during geomagnetic storm/substorm with Pc5/PI2 pulsation signature [7]
   Hamada, A. M., Mahrous, A. M., Fathy, I., Ghamry, E., Groves, K. & Yumoto, K., Advances in Space Research, 55, 2534