M. Goldman

3.7k total citations
150 papers, 2.6k citations indexed

About

M. Goldman is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, M. Goldman has authored 150 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Geophysics, 40 papers in Ocean Engineering and 38 papers in Artificial Intelligence. Recurrent topics in M. Goldman's work include Seismic Waves and Analysis (69 papers), earthquake and tectonic studies (46 papers) and Geophysical and Geoelectrical Methods (42 papers). M. Goldman is often cited by papers focused on Seismic Waves and Analysis (69 papers), earthquake and tectonic studies (46 papers) and Geophysical and Geoelectrical Methods (42 papers). M. Goldman collaborates with scholars based in United States, Israel and Germany. M. Goldman's co-authors include R. D. Catchings, Gerald M. Pohost, Ian L. Pykett, J. Philip Kistler, Uri Kafri, Thomas J. Brady, J H Newhouse, F S Buonanno, F. M. Neubauer and M. J. Rymer and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Investigation.

In The Last Decade

M. Goldman

136 papers receiving 2.3k citations

Peers

M. Goldman
Comparison fields: 5 of 149
  • Geophysics 1.3k
  • Ocean Engineering 655
  • Radiology, Nuclear Medicine and Imaging 545
  • Cardiology and Cardiovascular Medicine 263
  • Nuclear and High Energy Physics 214
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Citations per field, relative to M. Goldman
M. Goldman · 1×
Citations per year, relative to M. Goldman
M. Goldman · 1×

Countries citing papers authored by M. Goldman

Since Specialization
Citations

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

Fields of papers citing papers by M. Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Goldman. A scholar is included among the top collaborators of M. Goldman 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. Goldman. M. Goldman 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
# Work Indexed citations
1 1
2 1
3 2
4 41
5 1
6 2
7
Detailed traveltime tomography and seismicity around the 2019 M7.1 Ridgecrest, CA, earthquake using dense rapid-response seismic data
1
8 2
9 1
10 3
11 5
12 4
13 2
14
Evidence of Shallow Faulting Across the Silver Creek Fault in San Jose, California
0
15
High-Resolution, Shallow Seismic Imaging of the Imperial Fault, Imperial County, California
1
16 2
17
The San Andreas Fault at SAFOD: Seismic Imaging and Borehole Comparisons
1
18
Seismic Imaging Evidence for the Extension of the Silver Creek Fault from the Southern Santa Clara Valley into the East Bay
0
19
Subsurface Structure of the Eastern Santa Clara Valley From Downtown San Jose to the Calaveras Fault
1
20 35

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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