Mark D. Butala

1.4k total citations
52 papers, 836 citations indexed

About

Mark D. Butala is a scholar working on Astronomy and Astrophysics, Geophysics and Artificial Intelligence. According to data from OpenAlex, Mark D. Butala has authored 52 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Astronomy and Astrophysics, 18 papers in Geophysics and 10 papers in Artificial Intelligence. Recurrent topics in Mark D. Butala's work include Ionosphere and magnetosphere dynamics (17 papers), Earthquake Detection and Analysis (9 papers) and Solar and Space Plasma Dynamics (8 papers). Mark D. Butala is often cited by papers focused on Ionosphere and magnetosphere dynamics (17 papers), Earthquake Detection and Analysis (9 papers) and Solar and Space Plasma Dynamics (8 papers). Mark D. Butala collaborates with scholars based in United States, China and United Kingdom. Mark D. Butala's co-authors include Farzad Kamalabadi, A. Komjáthy, R. A. Frazin, A. J. Mannucci, D. A. Galvan, Russell J. Hewett, P. Stephens, M. P. Hickey, O. P. Verkhoglyadova and Michael T. Heath and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Mark D. Butala

45 papers receiving 826 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark D. Butala United States	15	478	352	132	125	122	52	836
Tadashi Takano Japan	16	435 0.9×	211 0.6×	96 0.7×	356 2.8×	48 0.4×	117	1.1k
Guobin Yang China	18	598 1.3×	404 1.1×	40 0.3×	416 3.3×	66 0.5×	111	920
John Devlin Australia	12	234 0.5×	108 0.3×	26 0.2×	156 1.2×	61 0.5×	35	453
S.P. Kingsley United Kingdom	18	260 0.5×	247 0.7×	143 1.1×	405 3.2×	49 0.4×	66	997
Lassi Roininen Finland	12	149 0.3×	103 0.3×	72 0.5×	99 0.8×	22 0.2×	43	406
R. E. Horita Canada	11	351 0.7×	472 1.3×	73 0.6×	32 0.3×	150 1.2×	32	748
Nicola Linty Italy	15	350 0.7×	137 0.4×	59 0.4×	474 3.8×	38 0.3×	41	622
Richard Boynton United Kingdom	21	835 1.7×	331 0.9×	44 0.3×	29 0.2×	353 2.9×	50	1.1k
S. Ananthakrishnan India	15	787 1.6×	80 0.2×	33 0.3×	136 1.1×	92 0.8×	91	881
John D. Sahr United States	14	335 0.7×	132 0.4×	31 0.2×	401 3.2×	27 0.2×	49	671

Countries citing papers authored by Mark D. Butala

Since Specialization

Citations

This map shows the geographic impact of Mark D. Butala's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark D. Butala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Butala more than expected).

Fields of papers citing papers by Mark D. Butala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Butala. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark D. Butala. The network helps show where Mark D. Butala may publish in the future.

Co-authorship network of co-authors of Mark D. Butala

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Butala. A scholar is included among the top collaborators of Mark D. Butala based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark D. Butala. Mark D. Butala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Butala, Mark D., et al.. (2025). SNAFusion-MM: Distilling sparse sampled measurements by 2D axial diffusion priors with multi-step matching for 3D inverse problem. Information Fusion. 124. 103323–103323.

Zhou, Chenyu, Mark D. Butala, Yongjia Xu, Cristoforo Demartino, & Billie F. Spencer. (2024). FE-based bridge weigh-in-motion based on an adaptive augmented Kalman filter. Mechanical Systems and Signal Processing. 218. 111530–111530. 3 indexed citations

Zhang, Jian, Ke Ma, Mark D. Butala, et al.. (2024). Toward Unsupervised Domain Adaptation Fault Diagnosis: A Multisource Multitarget Method. IEEE Sensors Journal. 25(1). 1994–2007. 4 indexed citations

Butala, Mark D., et al.. (2024). A Transfer Learning Method to Generate Synthetic Synoptic Magnetograms. Space Weather. 22(1). 3 indexed citations

Xu, Xinyi, Bo Yang, & Mark D. Butala. (2024). Data-Driven Confidence Intervals for Parametric Magnetotelluric Impedance Tensor Estimates. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16.

Pesantez, Jorge E., et al.. (2023). A Comparison Study of Predictive Models for Electricity Demand in a Diverse Urban Environment. Energy. 283. 129142–129142. 9 indexed citations

Zhang, Jian, et al.. (2023). An imbalanced semi-supervised wind turbine blade icing detection method based on contrastive learning. Renewable Energy. 212. 251–262. 12 indexed citations

Butala, Mark D., et al.. (2023). Application of Vehicle Tracking Algorithm in Bridge Load Monitoring. 441–444. 1 indexed citations

Pi, Xiaodong, Mark D. Butala, Wen Huang, et al.. (2022). Neuromorphic device based on silicon nanosheets. Nature Communications. 13(1). 5216–5216. 28 indexed citations

10.

Xu, Xinyi, Bo Yang, & Mark D. Butala. (2022). A Parametric Method for Robust Magnetotelluric Transfer Function Estimation Evaluated with Data at Different Sampling Frequencies. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 59. 2015–2018.

11.

Butala, Mark D., et al.. (2021). Efficient Nonlinear Behavior Modeling Method for Voltage-Variable Capacitors. IEEE Transactions on Components Packaging and Manufacturing Technology. 11(3). 462–470. 6 indexed citations

12.

Makela, J. J., et al.. (2018). The Impact of Magnetic Field Temporal Sampling on Modeled Surface Electric Fields. Space Weather. 16(11). 1721–1739. 19 indexed citations

13.

Komjáthy, A., O. P. Verkhoglyadova, Hans‐Henrik von Benzon, et al.. (2017). Multiinstrument observations of a geomagnetic storm and its effects on the Arctic ionosphere: A case study of the 19 February 2014 storm. Radio Science. 52(1). 146–165. 14 indexed citations

14.

Vergados, Panagiotis, A. Komjáthy, Thomas F. Runge, Mark D. Butala, & A. J. Mannucci. (2016). Characterization of the impact of GLONASS observables on receiver bias estimation for ionospheric studies. Radio Science. 51(7). 1010–1021. 13 indexed citations

15.

Verkhoglyadova, O. P., et al.. (2014). Effects of Two Large Solar Energetic Particle Events on Middle Atmosphere Nighttime Odd Hydrogen and Ozone Content. 2014 AGU Fall Meeting. 2014. 1 indexed citations

16.

Yang, Yuyan, A. Komjáthy, Mark D. Butala, et al.. (2013). Investigating Natural Hazards Using GNSS Measurements: The Chelyabinsk Meteor Ionospheric Impact. Scholarly Commons (Embry–Riddle Aeronautical University). 3480–3488. 1 indexed citations

17.

Butala, Mark D., et al.. (2012). Intercomparison Of Approaches For Modeling Second Order Ionospheric Corrections Using Gnss Measurements. AGUFM. 2012. 1 indexed citations

18.

Love, Jeffrey J., et al.. (2012). On the reported ionospheric precursor of the 1999 Hector Mine, California earthquake. Geophysical Research Letters. 39(6). 41 indexed citations

19.

Frazin, R. A., Mark D. Butala, A. J. Kemball, & Farzad Kamalabadi. (2005). Time-dependent Reconstruction of Nonstationary Objects with Tomographic or Interferometric Measurements. The Astrophysical Journal. 635(2). L197–L200. 25 indexed citations

20.

Butala, Mark D., R. A. Frazin, & Farzad Kamalabadi. (2005). Three‐dimensional estimates of the coronal electron density at times of extreme solar activity. Journal of Geophysical Research Atmospheres. 110(A9). 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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