Alison Malcolm

1.8k total citations
125 papers, 1.3k citations indexed

About

Alison Malcolm is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Alison Malcolm has authored 125 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Geophysics, 67 papers in Ocean Engineering and 27 papers in Mechanical Engineering. Recurrent topics in Alison Malcolm's work include Seismic Imaging and Inversion Techniques (105 papers), Seismic Waves and Analysis (87 papers) and Geophysical Methods and Applications (40 papers). Alison Malcolm is often cited by papers focused on Seismic Imaging and Inversion Techniques (105 papers), Seismic Waves and Analysis (87 papers) and Geophysical Methods and Applications (40 papers). Alison Malcolm collaborates with scholars based in United States, Canada and British Virgin Islands. Alison Malcolm's co-authors include John A. Scales, Maarten V. de Hoop, Di Yang, Michael Fehler, B. A. van Tiggelen, Bjørn Ursin, David P. Nicholls, Gregory Ely, T. Dylan Mikesell and J. Kim Welford and has published in prestigious journals such as Journal of Applied Physics, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Alison Malcolm

118 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Malcolm United States 21 1.1k 658 253 184 177 125 1.3k
Huub Douma United States 14 904 0.8× 440 0.7× 92 0.4× 177 1.0× 122 0.7× 39 1.0k
Ivan Pšenčı́k Czechia 21 1.7k 1.5× 640 1.0× 346 1.4× 222 1.2× 48 0.3× 85 1.9k
S. Operto France 4 2.5k 2.2× 1.6k 2.4× 620 2.5× 151 0.8× 129 0.7× 7 2.6k
J. Virieux France 3 2.6k 2.3× 1.6k 2.5× 648 2.6× 156 0.8× 128 0.7× 5 2.7k
M. Nafi Toksöz United States 12 1.6k 1.4× 901 1.4× 237 0.9× 197 1.1× 94 0.5× 29 1.7k
Edip Baysal United States 8 1.7k 1.5× 1.1k 1.6× 420 1.7× 149 0.8× 71 0.4× 17 1.9k
Douglas J. Foster United States 16 1.1k 1.0× 653 1.0× 395 1.6× 187 1.0× 41 0.2× 57 1.3k
Ivan Vasconcelos Netherlands 21 1.6k 1.5× 1.0k 1.6× 245 1.0× 149 0.8× 214 1.2× 109 1.8k
M. H. Worthington United Kingdom 26 2.0k 1.8× 1.2k 1.8× 398 1.6× 258 1.4× 85 0.5× 71 2.2k
James W. Rector United States 19 946 0.8× 569 0.9× 219 0.9× 74 0.4× 115 0.6× 77 1.1k

Countries citing papers authored by Alison Malcolm

Since Specialization
Citations

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

Fields of papers citing papers by Alison Malcolm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison Malcolm. 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 Alison Malcolm. The network helps show where Alison Malcolm may publish in the future.

Co-authorship network of co-authors of Alison Malcolm

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Malcolm. A scholar is included among the top collaborators of Alison Malcolm 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 Alison Malcolm. Alison Malcolm 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.
Malcolm, Alison, et al.. (2023). Predictive lithology mapping using semisupervised learning: Practical insights using a case study from New South Wales, Australia. Geophysics. 88(3). JM1–JM17. 1 indexed citations
2.
Ghasemzadeh, Hasan, et al.. (2022). Least-squares reverse time migration with shifted total variation regularization. Geophysics. 88(2). S59–S69. 3 indexed citations
3.
Agostinetti, Nicola Piana, et al.. (2021). Exploration of Data Space Through Trans‐Dimensional Sampling: A Case Study of 4D Seismics. Journal of Geophysical Research Solid Earth. 126(12). e2021JB022343–e2021JB022343. 3 indexed citations
4.
Malcolm, Alison, et al.. (2021). Using laboratory data to understand how pore aspect ratio influences elastic parameters and amplitude variation with offset. Geophysics. 87(2). T147–T156. 3 indexed citations
5.
Malcolm, Alison, et al.. (2021). Reduced memory implementation of a local elastic finite-difference solver. Geophysics. 86(3). F25–F33. 4 indexed citations
6.
Malcolm, Alison, et al.. (2020). Time-lapse full-waveform inversion using Hamiltonian Monte Carlo: A proof of concept. 845–849. 11 indexed citations
7.
Malcolm, Alison, et al.. (2020). Vector-acoustic full-waveform inversion: Taking advantage of wavefield separation and dealiasing. Geophysics. 85(4). R409–R423. 4 indexed citations
8.
Edgar, J.A., et al.. (2019). Combining reflection and transmission information in time-lapse velocity inversion: A new hybrid approach. Geophysics. 84(4). R601–R611. 4 indexed citations
9.
Gholami, Ali, et al.. (2019). Efficient wavefield reconstruction at half the Nyquist rate. Geophysics. 84(5). A43–A46. 10 indexed citations
10.
Ely, Gregory, et al.. (2017). Assessing uncertainties in velocity models and images with a fast nonlinear uncertainty quantification method. Geophysics. 83(2). R63–R75. 31 indexed citations
11.
Yang, Di, Faqi Liu, Scott Morton, Alison Malcolm, & Michael Fehler. (2016). Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field. Geophysics. 81(4). R225–R235. 40 indexed citations
12.
Richardson, Alan & Alison Malcolm. (2016). Separating a wavefield by propagation direction. Geophysics. 81(3). T117–T129. 4 indexed citations
13.
Malcolm, Alison, Thomas Gallot, Thomas L. Szabo, et al.. (2015). Characterizing the nonlinear interaction of S- and P-waves in a rock sample. Memorial University Research Repository (Memorial University). 17 indexed citations
14.
Yang, Di, Xuefeng Shang, Alison Malcolm, Michael Fehler, & Hyoungsu Baek. (2015). Image registration guided wavefield tomography for shear-wave velocity model building. Geophysics. 80(3). U35–U46. 13 indexed citations
15.
Malcolm, Alison, et al.. (2015). The effect of velocity uncertainty on migrated reflectors: Improvements from relative-depth imaging. Geophysics. 81(1). S21–S29. 13 indexed citations
16.
Yang, Di, Alison Malcolm, & Michael Fehler. (2014). Using image warping for time-lapse image domain wavefield tomography. Geophysics. 79(3). WA141–WA151. 13 indexed citations
17.
Malcolm, Alison, et al.. (2011). Microquake seismic interferometry with SVD-enhanced Green's function recovery. The Leading Edge. 30(5). 556–562. 2 indexed citations
18.
Malcolm, Alison, et al.. (2011). Interferometric hydrofracture microseism localization using neighboring fracture. Geophysics. 76(6). WC27–WC36. 14 indexed citations
19.
Malcolm, Alison, Maarten V. de Hoop, & Henri Calandra. (2007). Identification of image artifacts from internal multiples. Geophysics. 72(2). S123–S132. 21 indexed citations
20.
Malcolm, Alison, Maarten V. de Hoop, & Jéro⁁me H. Le Rousseau. (2005). The applicability of dip moveout/azimuth moveout in the presence of caustics. Geophysics. 70(1). S1–S17. 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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