William H. Savran

563 total citations
26 papers, 356 citations indexed

About

William H. Savran is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, William H. Savran has authored 26 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geophysics, 17 papers in Artificial Intelligence and 5 papers in Civil and Structural Engineering. Recurrent topics in William H. Savran's work include earthquake and tectonic studies (20 papers), Seismology and Earthquake Studies (14 papers) and Earthquake Detection and Analysis (13 papers). William H. Savran is often cited by papers focused on earthquake and tectonic studies (20 papers), Seismology and Earthquake Studies (14 papers) and Earthquake Detection and Analysis (13 papers). William H. Savran collaborates with scholars based in United States, United Kingdom and Germany. William H. Savran's co-authors include K. B. Olsen, Maximilian J. Werner, David A. Rhoades, Danijel Schorlemmer, Warner Marzocchi, Sebastian Hainzl, Kevin R. Milner, Edward H. Field, T. H. Jordan and Matthew C. Gerstenberger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Journal International and Bulletin of the Seismological Society of America.

In The Last Decade

William H. Savran

24 papers receiving 344 citations

Peers

William H. Savran
Comparison fields: 5 of 37
  • Geophysics 319
  • Artificial Intelligence 200
  • Civil and Structural Engineering 67
  • Global and Planetary Change 9
  • Ocean Engineering 8
Replace H. S. Kuyuk with:
H. S. Kuyuk Türkiye
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R. S. Stein United States
Chad Trabant United States
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H. S. Kuyuk Türkiye View profile →
Citations per field, relative to William H. Savran
William H. Savran · 1×
Citations per year, relative to William H. Savran
William H. Savran · 1×

Countries citing papers authored by William H. Savran

Since Specialization
Citations

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

Fields of papers citing papers by William H. Savran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Savran. 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 William H. Savran. The network helps show where William H. Savran may publish in the future.

Co-authorship network of co-authors of William H. Savran

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Savran. A scholar is included among the top collaborators of William H. Savran 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 William H. Savran. William H. Savran 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 0
2 2
3 4
4 10
5 6
6 4
7 19
8 8
9 23
10 2
11 14
12 37
13 20
14
The Collaboratory for the Study of Earthquake Predictability Version 2 (CSEP2): Testing Forecasts that Generate Synthetic Earthquake Catalogs
1
15 14
16 15
17
Verification and Validation of High-Frequency (f max = 5 Hz) Ground Motion Simulations of the 2014 M 5.1 La Habra, California, earthquake
4
18
Unique Amplification Patterns Generated by Models of Small-scale Crustal Heterogeneities
1
19 5
20
Statistics of Velocity Structure in the Los Angeles Area
1

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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