M. D. Andrews

1.3k total citations
28 papers, 919 citations indexed

About

M. D. Andrews is a scholar working on Astronomy and Astrophysics, Molecular Biology and Oceanography. According to data from OpenAlex, M. D. Andrews has authored 28 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 4 papers in Molecular Biology and 3 papers in Oceanography. Recurrent topics in M. D. Andrews's work include Solar and Space Plasma Dynamics (20 papers), Ionosphere and magnetosphere dynamics (14 papers) and Stellar, planetary, and galactic studies (7 papers). M. D. Andrews is often cited by papers focused on Solar and Space Plasma Dynamics (20 papers), Ionosphere and magnetosphere dynamics (14 papers) and Stellar, planetary, and galactic studies (7 papers). M. D. Andrews collaborates with scholars based in United States, Germany and France. M. D. Andrews's co-authors include R. A. Howard, A. Nindos, S. P. Plunkett, G. E. Brueckner, M. E. Vanhoosier, R. P. Cebula, C. K. Pankratz, T. N. Woods, E. Hilsenrath and L. C. Herring and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and The Science of The Total Environment.

In The Last Decade

M. D. Andrews

26 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. D. Andrews United States 15 822 196 166 75 66 28 919
D. M. Rabin United States 18 947 1.2× 108 0.6× 179 1.1× 138 1.8× 40 0.6× 62 1.0k
C. G. Giménez de Castro Brazil 16 635 0.8× 97 0.5× 80 0.5× 61 0.8× 31 0.5× 65 699
D. McMullin United States 15 825 1.0× 300 1.5× 54 0.3× 87 1.2× 29 0.4× 29 890
D. R. McMullin United States 9 544 0.7× 187 1.0× 59 0.4× 102 1.4× 17 0.3× 21 586
R. A. Hock United States 9 699 0.9× 212 1.1× 44 0.3× 134 1.8× 26 0.4× 18 766
P. Barthol Germany 17 828 1.0× 199 1.0× 190 1.1× 123 1.6× 104 1.6× 43 950
Jagdev Singh India 17 1.0k 1.2× 100 0.5× 274 1.7× 203 2.7× 61 0.9× 100 1.1k
Richard F. Donnelly United States 13 452 0.5× 151 0.8× 63 0.4× 75 1.0× 36 0.5× 28 511
Wolfgang Finsterle Switzerland 15 512 0.6× 157 0.8× 65 0.4× 251 3.3× 78 1.2× 55 674
R. F. Donnelly United States 15 714 0.9× 293 1.5× 89 0.5× 103 1.4× 43 0.7× 39 769

Countries citing papers authored by M. D. Andrews

Since Specialization
Citations

This map shows the geographic impact of M. D. Andrews'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 M. D. Andrews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. D. Andrews more than expected).

Fields of papers citing papers by M. D. Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. D. Andrews. 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 M. D. Andrews. The network helps show where M. D. Andrews may publish in the future.

Co-authorship network of co-authors of M. D. Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of M. D. Andrews. A scholar is included among the top collaborators of M. D. Andrews 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 M. D. Andrews. M. D. Andrews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Orr, Scott Allan, et al.. (2025). Using damage functions to map heritage climatology at a global scale. The Science of The Total Environment. 963. 178350–178350. 1 indexed citations
2.
Andrews, M. D. & Antonio Di Ieva. (2025). Artificial intelligence for brain neuroanatomical segmentation in magnetic resonance imaging: A literature review. Journal of Clinical Neuroscience. 134. 111073–111073. 1 indexed citations
3.
Rust, D. M., B. J. Anderson, M. D. Andrews, et al.. (2005). Comparison of Interplanetary Disturbances at theNEARSpacecraft with Coronal Mass Ejections at the Sun. The Astrophysical Journal. 621(1). 524–536. 26 indexed citations
4.
Andrews, M. D.. (2002). Characteristics of CMEs associated with big flares. ESASP. 2. 531–534. 3 indexed citations
5.
Andrews, M. D.. (2002). The Front-to-Back Asymmetry of Coronal Emission. Solar Physics. 208(2). 317–324. 15 indexed citations
6.
DeForest, C. E., S. P. Plunkett, & M. D. Andrews. (2001). Observation of Polar Plumes at High Solar Altitudes. The Astrophysical Journal. 546(1). 569–575. 42 indexed citations
7.
Wu, S. T., M. D. Andrews, & S. P. Plunkett. (2001). Numerical Magnetohydrodynamic (MHD) Modeling of Coronal Mass Ejections (CMEs). Space Science Reviews. 95(1-2). 191–213. 28 indexed citations
8.
Dryer, M., C. D. Fry, W. Sun, et al.. (2001). Prediction in Real Time of the 2000 July 14 Heliospheric Shock Wave and its Companions During the `Bastille' Epoch*. Solar Physics. 204(1-2). 265–284. 40 indexed citations
9.
Andrews, M. D. & R. A. Howard. (2001). A two-Type Classification of Lasco Coronal Mass Ejection. Space Science Reviews. 95(1-2). 147–163. 63 indexed citations
10.
Andrews, M. D. & R. A. Howard. (1999). The Identification of Two Distinct Types of Coronal Mass Ejections by the LASCO C2 and C3 Coronagraphs. 9. 927.
11.
Andrews, M. D., et al.. (1999). Observations and Modeling of an Explosive Coronal Mass Ejection as Observed by LASCO. Solar Physics. 187(2). 427–448. 9 indexed citations
12.
Auraß, H., et al.. (1999). Nonthermal Radio Signatures of Coronal Disturbances with and without Coronal Mass Ejections. The Astrophysical Journal. 511(1). 451–465. 22 indexed citations
13.
Auraß, H., M. Dryer, M. D. Andrews, et al.. (1997). On Signatures of Nonthermal Particles During CME Acceleration. ESASP. 404. 183. 3 indexed citations
14.
Wu, S. T., W. P. Guo, D. J. Michels, et al.. (1997). Dynamical evolution of a coronal mass ejection (CME) to magnetic cloud: A preliminary analysis of the January 6-10, 1997 CME observed by LASCO/SOHO. MPG.PuRe (Max Planck Society). 404. 739–744. 4 indexed citations
15.
Wu, S. T., W. P. Guo, M. D. Andrews, et al.. (1997). Mhd Interpretation of LASCO Observations of a Coronal Mass Ejection as a Disconnected Magnetic Structure. Solar Physics. 175(2). 719–735. 38 indexed citations
16.
Woods, T. N., D. K. Prinz, G. J. Rottman, et al.. (1996). Validation of the UARS solar ultraviolet irradiances: Comparison with the ATLAS 1 and 2 measurements. Journal of Geophysical Research Atmospheres. 101(D6). 9541–9569. 267 indexed citations
17.
Andrews, M. D. & M. E. Vanhoosier. (1995). Calibration of the Solar Ultraviolet Spectral Irradiance Monitor (SUSIM) on ATLAS-2. Metrologia. 32(6). 629–631. 3 indexed citations
18.
Andrews, M. D., J. P. Basart, & R. C. Lamb. (1985). Observations of the radio source G6.6-0.1 positionally coincident with the W28 SNR. The Astronomical Journal. 90. 310–310.
19.
Andrews, M. D. & J. P. Basart. (1984). High-resolution radio observations of nonthermal sources in the Rho Ophiuchus dark cloud. The Astronomical Journal. 89. 417–417. 1 indexed citations
20.
Andrews, M. D., J. P. Basart, R. C. Lamb, & R. H. Becker. (1983). High-resolution radio and X-ray observations of the supernova remnant W28. The Astrophysical Journal. 266. 684–684. 8 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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