Michael J. Tompkins

418 total citations
27 papers, 328 citations indexed

About

Michael J. Tompkins is a scholar working on Geophysics, Ocean Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Michael J. Tompkins has authored 27 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geophysics, 10 papers in Ocean Engineering and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Michael J. Tompkins's work include Geophysical and Geoelectrical Methods (13 papers), Seismic Imaging and Inversion Techniques (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Michael J. Tompkins is often cited by papers focused on Geophysical and Geoelectrical Methods (13 papers), Seismic Imaging and Inversion Techniques (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Michael J. Tompkins collaborates with scholars based in United States, Spain and British Virgin Islands. Michael J. Tompkins's co-authors include Juan Luis Fernández‐Martínez, Zulima Fernández‐Muñiz, Nikolas I. Christensen, David Alumbaugh, S. M. Dean, T. A. Minshull, R. B. Whitmarsh, Tapan Mukerji, L. M. MacGregor and Richard Weaver and has published in prestigious journals such as Geophysical Research Letters, Geophysics and Geophysical Journal International.

In The Last Decade

Michael J. Tompkins

26 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Tompkins United States 10 258 151 29 29 21 27 328
Jos Van Trier United States 5 244 0.9× 55 0.4× 19 0.7× 33 1.1× 3 0.1× 6 324
P. McGillivray Canada 7 526 2.0× 473 3.1× 49 1.7× 76 2.6× 4 0.2× 15 595
Wences P. Gouveia Netherlands 6 270 1.0× 137 0.9× 17 0.6× 91 3.1× 1 0.0× 19 320
Vahid E. Ardestani Iran 10 299 1.2× 105 0.7× 79 2.7× 6 0.2× 12 0.6× 48 357
A. G. Nekut United States 13 300 1.2× 205 1.4× 28 1.0× 31 1.1× 19 0.9× 18 339
I.F. Jones Canada 12 444 1.7× 246 1.6× 25 0.9× 98 3.4× 4 0.2× 45 518
Tim Scheuer Canada 5 338 1.3× 218 1.4× 33 1.1× 114 3.9× 2 0.1× 8 387
Peter W. Cary Canada 12 347 1.3× 162 1.1× 32 1.1× 76 2.6× 1 0.0× 48 404
Anthony Vassiliou United States 11 260 1.0× 129 0.9× 25 0.9× 57 2.0× 7 0.3× 46 357
D. Guptasarma India 8 312 1.2× 210 1.4× 63 2.2× 30 1.0× 32 1.5× 15 380

Countries citing papers authored by Michael J. Tompkins

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Tompkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Tompkins. 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 Michael J. Tompkins. The network helps show where Michael J. Tompkins may publish in the future.

Co-authorship network of co-authors of Michael J. Tompkins

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Tompkins. A scholar is included among the top collaborators of Michael J. Tompkins 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 Michael J. Tompkins. Michael J. Tompkins 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.
2.
Tompkins, Michael J., et al.. (2015). Heat-induced Epitope Retrieval for Immunohistochemistry at High Altitude: A Quality Assurance Study. Applied immunohistochemistry & molecular morphology. 24(7). 531–534.
3.
Azevedo, Leonardo, Michael J. Tompkins, & Tapan Mukerji. (2015). Regularized sparse‐grid geometric sampling for uncertainty analysis in non‐linear inverse problems. Geophysical Prospecting. 64(2). 320–334. 2 indexed citations
4.
Lee, Jaehoon, Tapan Mukerji, & Michael J. Tompkins. (2013). Statistical integration of time-lapse seismic and electromagnetic data with a PDF upscaling method using multi-point geostatistics. 4998–5003. 1 indexed citations
5.
Tompkins, Michael J.. (2012). Efficient estimation of nonlinear posterior model covariances using maximally sparse cubature rules. Geophysics. 77(5). ID1–ID8. 6 indexed citations
6.
Fernández‐Martínez, Juan Luis, Zulima Fernández‐Muñiz, & Michael J. Tompkins. (2012). On the topography of the cost functional in linear and nonlinear inverse problems. Geophysics. 77(1). W1–W15. 70 indexed citations
7.
Tompkins, Michael J. & Michael Prange. (2012). Efficient estimation of polynomial chaos proxies using generalized sparse quadrature. 1–5. 1 indexed citations
8.
Tompkins, Michael J., Juan Luis Fernández‐Martínez, & Zulima Fernández‐Muñiz. (2011). Marine electromagnetic inverse solution appraisal and uncertainty using model‐derived basis functions and sparse geometric sampling. Geophysical Prospecting. 59(5). 947–965. 18 indexed citations
9.
Tompkins, Michael J., Juan Luis Fernández‐Martínez, Tapan Mukerji, & David Alumbaugh. (2010). Scalable Nonlinear Inverse Uncertainty Estimation Using Model Reduction, Constraint Mapping, and Sparse Geometric Sampling. 3882–3887. 3 indexed citations
10.
Tompkins, Michael J. & L. J. Srnka. (2007). Marine controlled-source electromagnetic methods — Introduction. Geophysics. 72(2). WA1–WA2. 4 indexed citations
11.
MacGregor, L. M. & Michael J. Tompkins. (2005). Imaging Hydrocarbon Reservoirs Using Marine Controlled-Source Electromagnetic Sounding. Offshore Technology Conference. 2 indexed citations
12.
Tompkins, Michael J.. (2005). The role of vertical anisotropy in interpreting marine controlled‐source electromagnetic data. 514–517. 17 indexed citations
13.
Tompkins, Michael J., et al.. (2004). Numerical analysis of near-borehole and anisotropic layer effects on the response of multicomponent induction logging tools. Geophysics. 69(1). 140–151. 7 indexed citations
14.
15.
Tompkins, Michael J., et al.. (2004). Methods for the visualization and interpretation of marine controlled‐source electromagnetic data. 608–611. 3 indexed citations
16.
Tompkins, Michael J., Richard Weaver, & L. M. MacGregor. (2004). Effects of Vertical Anisotropy on Marine Active Source Electromagnetic Data and Inversions. 16 indexed citations
17.
Tompkins, Michael J.. (2003). Quantitative analysis of multi-component borehole electromagnetic induction responses using anisotropic forward modeling and inversion. PhDT. 4 indexed citations
18.
Tompkins, Michael J. & David Alumbaugh. (2002). A transversely isotropic 1‐D electromagnetic inversion scheme requiring minimal a priori information. 676–679. 6 indexed citations
19.
Tompkins, Michael J. & Nikolas I. Christensen. (2001). UltrasonicP- andS-wave attenuation in oceanic basalt. Geophysical Journal International. 145(1). 172–186. 31 indexed citations
20.
Whitmarsh, R. B., S. M. Dean, T. A. Minshull, & Michael J. Tompkins. (2000). Tectonic implications of exposure of lower continental crust beneath the Iberia Abyssal Plain, Northeast Atlantic Ocean: Geophysical evidence. Tectonics. 19(5). 919–942. 46 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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