G. J. Funning

3.1k total citations
65 papers, 2.4k citations indexed

About

G. J. Funning is a scholar working on Geophysics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, G. J. Funning has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Geophysics, 11 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in G. J. Funning's work include earthquake and tectonic studies (49 papers), Earthquake Detection and Analysis (33 papers) and Seismic Waves and Analysis (19 papers). G. J. Funning is often cited by papers focused on earthquake and tectonic studies (49 papers), Earthquake Detection and Analysis (33 papers) and Seismic Waves and Analysis (19 papers). G. J. Funning collaborates with scholars based in United States, United Kingdom and Portugal. G. J. Funning's co-authors include Tim Wright, B. Parsons, E. J. Fielding, James Jackson, Ana M. G. Ferreira, Roland Bürgmann, James A. Weston, Nader Shakibay Senobari, Isabelle Ryder and Zachary Zimmerman and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

G. J. Funning

64 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. J. Funning United States 27 1.8k 443 342 205 172 65 2.4k
Caijun Xu China 27 1.7k 0.9× 534 1.2× 177 0.5× 14 0.1× 151 0.9× 149 2.3k
Flavio Cannavò Italy 27 1.5k 0.8× 165 0.4× 214 0.6× 18 0.1× 124 0.7× 94 2.0k
Diego Melgar United States 35 3.3k 1.8× 683 1.5× 1.5k 4.5× 43 0.2× 84 0.5× 109 3.8k
Bing Yu China 18 399 0.2× 522 1.2× 380 1.1× 16 0.1× 280 1.6× 77 1.2k
Paresh Nath Singha Roy India 18 462 0.2× 62 0.1× 267 0.8× 119 0.6× 112 0.7× 63 1.1k
Ioannis Papoutsis Greece 19 180 0.1× 542 1.2× 131 0.4× 61 0.3× 198 1.2× 65 1.2k
M. E. West United States 31 2.1k 1.1× 146 0.3× 434 1.3× 16 0.1× 247 1.4× 129 3.0k
Lixin Wu China 26 563 0.3× 456 1.0× 241 0.7× 15 0.1× 433 2.5× 124 1.9k
Alberto Michelini Italy 38 3.3k 1.8× 57 0.1× 1.4k 4.0× 44 0.2× 112 0.7× 116 3.9k
John Clinton Switzerland 34 2.7k 1.5× 144 0.3× 1.1k 3.1× 14 0.1× 334 1.9× 154 3.6k

Countries citing papers authored by G. J. Funning

Since Specialization
Citations

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

Fields of papers citing papers by G. J. Funning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. J. Funning

This figure shows the co-authorship network connecting the top 25 collaborators of G. J. Funning. A scholar is included among the top collaborators of G. J. Funning 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 G. J. Funning. G. J. Funning 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.
Senobari, Nader Shakibay, Peter M. Shearer, G. J. Funning, et al.. (2024). The Matrix Profile in Seismology: Template Matching of Everything With Everything. Journal of Geophysical Research Solid Earth. 129(2). 5 indexed citations
2.
Hollingsworth, James, et al.. (2023). Complex 3‐D Surface Deformation in the 1971 San Fernando, California Earthquake Reveals Static and Dynamic Controls on Off‐Fault Deformation. Journal of Geophysical Research Solid Earth. 128(3). 5 indexed citations
3.
Senobari, Nader Shakibay & G. J. Funning. (2019). Widespread Fault Creep in the Northern San Francisco Bay Area Revealed by Multistation Cluster Detection of Repeating Earthquakes. Geophysical Research Letters. 46(12). 6425–6434. 15 indexed citations
4.
5.
Xu, Wenbin, Songbo Wu, Kathryn Materna, et al.. (2018). Interseismic Ground Deformation and Fault Slip Rates in the Greater San Francisco Bay Area From Two Decades of Space Geodetic Data. Journal of Geophysical Research Solid Earth. 123(9). 8095–8109. 31 indexed citations
6.
Marshall, S. T., et al.. (2017). Mechanical models favor a ramp geometry for the Ventura‐pitas point fault, California. Geophysical Research Letters. 44(3). 1311–1319. 26 indexed citations
7.
Funning, G. J., et al.. (2017). Distribution of creep in the northern San Francisco Bay Area illuminated by repeating earthquakes and InSAR. AGUFM. 2017. 1 indexed citations
8.
Houlié, Nicolas, Roland Bürgmann, & G. J. Funning. (2016). Use of a GPS-Derived Troposphere Model to Improve InSAR Deformation Estimates in the San Gabriel Valley, California. eScholarship (California Digital Library). 2016. 1 indexed citations
9.
Murray, J. R., J. L. Svarc, Fred F. Pollitz, et al.. (2014). Coseismic and postseismic deformation due to the South Napa earthquake inferred from modeling of Global Positioning System data. AGU Fall Meeting Abstracts. 2014. 2 indexed citations
10.
Olfman, Lorne, et al.. (2013). A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case. Journal of the Association for Information Systems. 19. 1259–61. 1 indexed citations
11.
Funning, G. J., et al.. (2012). Visible Earthquakes: a web-based tool for visualizing and modeling InSAR earthquake data. AGU Fall Meeting Abstracts. 2012. 2 indexed citations
12.
Fielding, E. J., Roland Bürgmann, P. Lundgren, & G. J. Funning. (2011). Shallow Fault-zone Dilatancy Recovery after the 2003 Bam, Iran Earthquake from Eight Years of InSAR. AGUFM. 2011.
13.
Funning, G. J., et al.. (2010). `Citizen Creepmeters': involving high school students in monitoring of fault movements using inexpensive equipment. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
14.
Funning, G. J., Roland Bürgmann, A. Ferretti, & F. Novali. (2009). Mapping the extent of fault creep along the Hayward-Rodgers Creek-Maacama fault system using PS-InSAR. AGU Fall Meeting Abstracts. 2009. 2 indexed citations
15.
Funning, G. J., et al.. (2009). Strain Transient Detection Techniques: A Comparison of Source Parameter Inversions of Signals Isolated through Principal Component Analysis (PCA), Non-Linear PCA, and Rotated PCA. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
16.
Funning, G. J., Roland Bürgmann, A. Ferretti, & F. Novali. (2007). Asperities on the Hayward fault resolved by PS-InSAR, GPS and boundary element modeling. AGU Fall Meeting Abstracts. 2007. 8 indexed citations
17.
Funning, G. J., Roland Bürgmann, A. Ferretti, F. Novali, & Alfio Fumagalli. (2006). Creep on the faults of the northern San Francisco Bay Area documented by PS- InSAR. AGU Fall Meeting Abstracts. 2006. 1 indexed citations
18.
Funning, G. J., Roland Bürgmann, A. Ferretti, F. Novali, & D. A. Schmidt. (2005). Kinematics, asperities and seismic potential of the Hayward fault, California from ERS and RADARSAT PS-InSAR. AGU Fall Meeting Abstracts. 2005. 1 indexed citations
19.
Fukahata, Yukitoshi, G. J. Funning, Yuji Yagi, & B. Parsons. (2005). Joint inversion of InSAR and teleseismic broadband waveform data using ABIC: application to the 1997 Manyi, Tibet earthquake. AGU Fall Meeting Abstracts. 2005. 4 indexed citations
20.
Funning, G. J., et al.. (2004). Surface displacements and source parameters of the 2003 Bam (Iran) earthquake from Envisat ASAR imagery. AGU Fall Meeting Abstracts. 2004. 7 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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