J.M. Savino
- Geophysics top 5%
- Artificial Intelligence top 10%
- Ocean Engineering top 10%
- Civil and Structural Engineering
- Mechanics of Materials
- Co-authors
- John KelleherWilliam R. McCannLynn R. SykesPaul W. PomeroyAndrew MurphyKeith McCamyRobert C. LiebermannPéter Molnár
- Topics
- Earthquake Detection and Analysis (12 papers)Seismic Waves and Analysis (11 papers)Geophysics and Sensor Technology (11 papers)
- Partner nations
- United States
In The Last Decade
J.M. Savino
14 papers receiving 330 citations
Peers
Comparison fields: 5 of 31
- Geophysics 449
- Artificial Intelligence 126
- Ocean Engineering 81
- Civil and Structural Engineering 8
- Mechanics of Materials 6
Countries citing papers authored by J.M. Savino
This map shows the geographic impact of J.M. Savino'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 J.M. Savino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Savino more than expected).
Fields of papers citing papers by J.M. Savino
This network shows the impact of papers produced by J.M. Savino. 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 J.M. Savino. The network helps show where J.M. Savino may publish in the future.
Co-authorship network of co-authors of J.M. Savino
This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Savino. A scholar is included among the top collaborators of J.M. Savino 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 J.M. Savino. J.M. Savino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Surface Wave Path Corrections, Deterministic Discrimination and Body Wave Attenuation | 2 |
| 2 | Regional discrimination research | 2 |
| 3 | Analysis of Explosion Generated Surface Waves in Africa, Results from the Discrimination Experiment and Summary of Current Research | 1 |
| 4 | Seismic Studies for Improved Yield Determination | 1 |
| 5 | Explosion Source Modeling, Seismic Waveform Prediction and Yield Verification Research | 1 |
| 6 | Prediction and Matching of Teleseismic Ground Motion (Body and Surface Waves) From the NTS MAST Explosion | 1 |
| 7 | 22 | |
| 8 | 124 | |
| 9 | Application of Advanced Methods for Identification and Detection of Nuclear Explosions from the Asian Continent | 1 |
| 10 | 20 | |
| 11 | 97 | |
| 12 | 14 | |
| 13 | 12 | |
| 14 | 33 | |
| 15 | 6 | |
| 16 | 39 | |
| 17 | 27 | |
| 18 | 32 | |
| 19 | 28 |
About J.M. Savino
J.M. Savino is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence, having authored 19 papers that have together received 463 indexed citations. Recurring topics across this work include Earthquake Detection and Analysis (12 papers), Seismic Waves and Analysis (11 papers) and Geophysics and Sensor Technology (11 papers). The work is most often cited by research in Geophysics (449 citations), Ocean Engineering (81 citations) and Artificial Intelligence (126 citations). J.M. Savino has collaborated with scholars based in United States. Frequent co-authors include John Kelleher, William R. McCann, Lynn R. Sykes, Paul W. Pomeroy, Andrew Murphy, Keith McCamy, Robert C. Liebermann, Péter Molnár, Robert H. Tatham and J. M. W. Rynn. Their work appears in journals such as Nature, Journal of Geophysical Research Atmospheres and Geophysical Journal International.
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.