Publications of Andres Munoz-Jaramillo ordered by citations

A list of publications authored or co-authored by Andres Munoz-Jaramillo, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations. Publications above the horizontal line count towards the h-index.

Orcid ID: 0000-0002-4716-0840

142	Solar Cycle Propagation, Memory, and Prediction: Insights from a Century of Magnetic Proxies Muñoz-Jaramillo, Andrés, Dasi-Espuig, María, Balmaceda, Laura A. & DeLuca, Edward E., 2013, ApJ, 767, L25
139	The unusual minimum of sunspot cycle 23 caused by meridional plasma flow variations Nandy, Dibyendu, Muñoz-Jaramillo, Andrés & Martens, Petrus C. H., 2011, Nature, 471, 80
105	Calibrating 100 Years of Polar Faculae Measurements: Implications for the Evolution of the Heliospheric Magnetic Field Muñoz-Jaramillo, Andrés, Sheeley, Neil R., Zhang, Jie & DeLuca, Edward E., 2012, ApJ, 753, 146
90	Visualization of the challenges and limitations of the long-term sunspot number record Muñoz-Jaramillo, Andrés & Vaquero, José M., 2019, Nature Astronomy, 3, 205
70	Magnetic Quenching of Turbulent Diffusivity: Reconciling Mixing-length Theory Estimates with Kinematic Dynamo Models of the Solar Cycle Muñoz-Jaramillo, Andrés, Nandy, Dibyendu & Martens, Petrus C. H., 2011, ApJ, 727, L23
69	A Double-ring Algorithm for Modeling Solar Active Regions: Unifying Kinematic Dynamo Models and Surface Flux-transport Simulations Muñoz-Jaramillo, Andrés, Nandy, Dibyendu, Martens, Petrus C. H. & Yeates, Anthony R., 2010, ApJ, 720, L20
59	Small-scale and Global Dynamos and the Area and Flux Distributions of Active Regions, Sunspot Groups, and Sunspots: A Multi-database Study Muñoz-Jaramillo, Andrés, Senkpeil, Ryan R., Windmueller, John C., Amouzou, Ernest C., Longcope, Dana W., Tlatov, Andrey G., Nagovitsyn, Yury A., Pevtsov, Alexei A., Chapman, Gary A., Cookson, Angela M., Yeates, Anthony R., Watson, Fraser T., Balmaceda, Laura A., DeLuca, Edward E. & Martens, Petrus C. H., 2015, ApJ, 800, 48
55	Kinematic active region formation in a three-dimensional solar dynamo model Yeates, A. R. & Muñoz-Jaramillo, A., 2013, MNRAS, 436, 3366
55	A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission Galvez, Richard, Fouhey, David F., Jin, Meng, Szenicer, Alexandre, Muñoz-Jaramillo, Andrés, Cheung, Mark C. M., Wright, Paul J., Bobra, Monica G., Liu, Yang, Mason, James & Thomas, Rajat, 2019, ApJS, 242, 7
55	Helioseismic Data Inclusion in Solar Dynamo Models Muñoz-Jaramillo, Andrés, Nandy, Dibyendu & Martens, Petrus C. H., 2009, ApJ, 698, 461
47	Polar Network Index as a Magnetic Proxy for the Solar Cycle Studies Priyal, Muthu, Banerjee, Dipankar, Karak, Bidya Binay, Muñoz-Jaramillo, Andrés, Ravindra, B., Choudhuri, Arnab Rai & Singh, Jagdev, 2014, ApJ, 793, L4
47	Recalibration of the Sunspot-Number: Status Report Clette, F., Lefèvre, L., Chatzistergos, T., Hayakawa, H., Carrasco, V. M. S., Arlt, R., Cliver, E. W., Dudok de Wit, T., Friedli, T. K., Karachik, N., Kopp, G., Lockwood, M., Mathieu, S., Muñoz-Jaramillo, A., Owens, M., Pesnell, D., Pevtsov, A., Svalgaard, L., Usoskin, I. G., van Driel-Gesztelyi, L. & Vaquero, J. M., 2023, Solar Physics, 298, 44
37	Using the Dipolar and Quadrupolar Moments to Improve Solar-Cycle Predictions Based on the Polar Magnetic Fields Muñoz-Jaramillo, Andrés, Balmaceda, Laura A. & DeLuca, Edward E., 2013, Physical Review Letters, 111, 041106
29	Parameter optimization for surface flux transport models Whitbread, T., Yeates, A. R., Muñoz-Jaramillo, A. & Petrie, G. J. D., 2017, A&A, 607, A76
26	How Many Active Regions Are Necessary to Predict the Solar Dipole Moment? Whitbread, T., Yeates, A. R. & Muñoz-Jaramillo, A., 2018, ApJ, 863, 116
23	Solar Anti-Hale Bipolar Magnetic Regions: A Distinct Population with Systematic Properties Muñoz-Jaramillo, Andrés, Navarrete, Benjamín & Campusano, Luis E., 2021, ApJ, 920, 31
23	Sunspot Characteristics at the Onset of the Maunder Minimum Based on the Observations of Hevelius Carrasco, V. M. S., Vaquero, J. M., Gallego, M. C., Muñoz-Jaramillo, A., de Toma, G., Galaviz, P., Arlt, R., Senthamizh Pavai, V., Sánchez-Bajo, F., Villalba Álvarez, J. & Gómez, J. M., 2019, ApJ, 886, 18
22	A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance Szenicer, Alexandre, Fouhey, David F., Munoz-Jaramillo, Andres, Wright, Paul J., Thomas, Rajat, Galvez, Richard, Jin, Meng & Cheung, Mark C. M., 2019, Science Advances, 5, eaaw6548
20	The Minimum of Solar Cycle 23: As Deep as It Could Be? Muñoz-Jaramillo, Andrés, Senkpeil, Ryan R., Longcope, Dana W., Tlatov, Andrey G., Pevtsov, Alexei A., Balmaceda, Laura A., DeLuca, Edward E. & Martens, Petrus C. H., 2015, ApJ, 804, 68
12	Improved Measurements of the Sun's Meridional Flow and Torsional Oscillation from Correlation Tracking on MDI and HMI Magnetograms Mahajan, Sushant S., Hathaway, David H., Muñoz-Jaramillo, Andrés & Martens, Petrus C., 2021, ApJ, 917, 100
12	Revisiting Christoph Scheiner's Sunspot Records: A New Perspective on Solar Activity of the Early Telescopic Era Carrasco, V. M. S., Muñoz-Jaramillo, A., Gallego, M. C. & Vaquero, J. M., 2022, ApJ, 927, 193
12	Deciphering the Deep Origin of Active Regions via Analysis of Magnetograms Dikpati, Mausumi, McIntosh, Scott W., Chatterjee, Subhamoy, Norton, Aimee A., Ambroz, Pavel, Gilman, Peter A., Jain, Kiran & Munoz-Jaramillo, Andres, 2021, ApJ, 910, 91
8	Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses Jungbluth, Anna, Gitiaux, Xavier, Maloney, Shane A., Shneider, Carl, Wright, Paul J., Kalaitzis, Alfredo, Deudon, Michel, Güneş Baydin, Atılım, Gal, Yarin & Muñoz-Jaramillo, Andrés, 2019, arXiv:1911.01490
8	The need for active region disconnection in 3D kinematic dynamo simulations Whitbread, T., Yeates, A. R. & Muñoz-Jaramillo, A., 2019, A&A, 627, A168
5	Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties Gitiaux, Xavier, Maloney, Shane A., Jungbluth, Anna, Shneider, Carl, Wright, Paul J., Güneş Baydin, Atılım, Deudon, Michel, Gal, Yarin, Kalaitzis, Alfredo & Muñoz-Jaramillo, Andrés, 2019, arXiv:1911.01486
5	SuNeRF: 3D Reconstruction of the Solar EUV Corona Using Neural Radiance Fields Jarolim, Robert, Tremblay, Benoit, Muñoz-Jaramillo, Andrés, Bintsi, Kyriaki-Margarita, Jungbluth, Anna, Santos, Miraflor, Vourlidas, Angelos, Mason, James P., Sundaresan, Sairam, Downs, Cooper & Caplan, Ronald M., 2024, ApJ, 961, L31
4	MEMPSEP-I. Forecasting the Probability of Solar Energetic Particle Event Occurrence Using a Multivariate Ensemble of Convolutional Neural Networks Chatterjee, Subhamoy, Dayeh, Maher A., Muñoz-Jaramillo, Andrés., Bain, Hazel M., Moreland, Kimberly & Hart, Samuel, 2024, Space Weather, 22, e2023SW003568
3	MEMPSEP-III. A Machine Learning-Oriented Multivariate Data Set for Forecasting the Occurrence and Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach Moreland, Kimberly, Dayeh, Maher A., Bain, Hazel M., Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés. & Hart, Samuel T., 2024, Space Weather, 22, e2023SW003765
3	Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms Muñoz-Jaramillo, Andrés, Jungbluth, Anna, Gitiaux, Xavier, Wright, Paul J., Shneider, Carl, Maloney, Shane A., Baydin, Atılım Güneş, Gal, Yarin, Deudon, Michel & Kalaitzis, Freddie, 2024, ApJS, 271, 46
2	Efficient labelling of solar flux evolution videos by a deep learning model Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés & Lamb, Derek A., 2022, Nature Astronomy, 6, 796
2	Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures Lamdouar, Hala, Sundaresan, Sairam, Jungbluth, Anna, Boro Saikia, Sudeshna, Camarata, Amanda Joy, Miles, Nathan, Scoczynski, Marcella, Stone, Mavis, Sarah, Anthony, Muñoz-Jaramillo, Andrés, Narock, Ayris & Szabo, Adam, 2022, arXiv:2203.01184
2	Probabilistic Solar Flare Forecasting Using Historical Magnetogram Data van der Sande, Kiera, Muñoz-Jaramillo, Andrés & Chatterjee, Subhamoy, 2023, ApJ, 955, 148
2	Sunspot Catalog (1921-1935) and Area Series (1886-1940) from the Stonyhurst College Observatory Carrasco, V. M. S., Muñoz-Jaramillo, A., Nogales, J. M., Gallego, M. C. & Vaquero, J. M., 2021, ApJS, 256, 38
2	Complex 33-beam simulated galactic cosmic radiation exposure impacts cognitive function and prefrontal cortex neurotransmitter networks in male mice Desai, Rajeev I., Kangas, Brian D., Luc, Oanh T., Solakidou, Eleana, Smith, Evan C., Dawes, Monica H., Ma, Xiaoyu, Makriyannis, Alexandros, Chatterjee, Subhamoy, Dayeh, Maher A., Muñoz-Jaramillo, Andrés, Desai, Mihir I. & Limoli, Charles L., 2023, Nature Communications, 14, 7779
2	MEMPSEP-II. Forecasting the Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach Dayeh, Maher A., Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés., Moreland, Kimberly, Bain, Hazel M. & Hart, Samuel T., 2024, Space Weather, 22, e2023SW003697
1	Comparing the Performance of a Solar Wind Model from the Sun to 1 au Using Real and Synthetic Magnetograms Henadhira Arachchige, Kalpa, Cohen, Ofer, Munoz-Jaramillo, Andres & Yeates, Anthony R., 2022, ApJ, 938, 39
1	Homogenizing SOHO/EIT and SDO/AIA 171 Å Images: A Deep-learning Approach Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés, Dayeh, Maher A., Bain, Hazel M. & Moreland, Kimberly, 2023, ApJS, 268, 33
0	All Quiet on the Solar Front: Origin and Heliospheric Consequences of the Unusual Minimum of Solar Cycle 23 Nandy, D., Muñoz-Jaramillo, A. & Martens, P. C. H., 2012, Sun and Geosphere, 7, 17
0	RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks Johnson, J. Emmanuel, Sundaresan, Sairam, Daylan, Tansu, Gavilan, Lisseth, Giles, Daniel K., Ishitani Silva, Stela, Jungbluth, Anna, Morris, Brett & Muñoz-Jaramillo, Andrés, 2020, arXiv:2012.01985
0	The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles Muñoz-Jaramillo, Andres, Werginz, Zachary, Vargas-Acosta, Juan Pablo, DeLuca, Michael, Windmueller, J. C., Zhang, Jie, Longcope, Dana, Lamb, Derek, DeForest, Craig, Vargas-Domínguez, Santiago, Harvey, Jack & Martens, Piet, 2016, 2016 IEEE International Conference on Big Data (Big Data, p. 3194
0	Sun Neural Radiance Fields (SuNeRFs): From Images to 4D Models of the Solar Atmosphere Tremblay, Benoit, Jarolim, Robert, Munoz-Jaramillo, Andrés, Bintsi, Kyriaki-Margarita, Jungbluth, Anna, Santos, Miraflor, Vourlidas, Angelos, Mason, James P., Sundaresan, Sairam, Downs, Cooper & Caplan, Ronald M., 2023, Data, Analysis and Software in Heliophysics (DASH) 2023, p. 21