M. Bahavar
Impact in
- Geophysics top 5%
- Seismic Waves and Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Earthquake Detection and Analysis
- Seismic Imaging and Inversion Techniques
- Geological and Geochemical Analysis
- Artificial Intelligence top 10%
- Seismology and Earthquake Studies
Papers in
- Geophysics 10
- Seismic Waves and Analysis 9
- earthquake and tectonic studies 7
- Seismic Imaging and Inversion Techniques 3
- Earthquake Detection and Analysis 1
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- Seismology and Earthquake Studies 4
- Co-authors
- Chad Trabant (7 shared papers)A. R. Hutko (4 shared papers)Gavin Baker (1 shared paper)J. Roger Bowman (1 shared paper)R. C. Aster (2 shared papers)T. K. Ahern (1 shared paper)Keith D. Koper (3 shared papers)R. E. Anthony (3 shared papers)
- Journals
- Seismological Research Letters (7 papers)Geophysical Research Letters (1 paper)AGUFM (1 paper)AGU Fall Meeting Abstracts (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
M. Bahavar
11 papers receiving 404 citations
Peers
Comparison fields: 5 of 43
- Geophysics 378
- Artificial Intelligence 110
- Ocean Engineering 43
- Management, Monitoring, Policy and Law 26
- Oceanography 25
Countries citing papers authored by M. Bahavar
This map shows the geographic impact of M. Bahavar'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. Bahavar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bahavar more than expected).
Fields of papers citing papers by M. Bahavar
This network shows the impact of papers produced by M. Bahavar. 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. Bahavar. The network helps show where M. Bahavar may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Bahavar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 158 | |
| 2 | 2005 | 108 | |
| 3 | 2017 | 44 | |
| 4 | 2017 | 40 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 13 | |
| 7 | 2010 | 9 | |
| 8 | 2020 | 8 | |
| 9 | The New IRIS DMC Noise Toolkit | 2013 | 3 |
| 10 | Enhanced Resources of the SMDC Monitoring Research Program for Source Information and Data Acquisition | 2007 | 2 |
| 11 | Assessing Accuracy and Tradeoffs from Several Power Spectral Density Estimate Algorithms | 2018 | 1 |
| 12 | Visualizing how Seismic Waves Propagate Across Seismic Arrays using the IRIS DMS Ground Motion Visualization (GMV) Products and Codes | 2011 | 1 |
About M. Bahavar
M. Bahavar is a scholar working on Geophysics, Artificial Intelligence, Civil and Structural Engineering, Ocean Engineering and Electrical and Electronic Engineering, having authored 12 papers that have together received 417 indexed citations. Recurring topics across this work include Seismic Waves and Analysis (9 papers), earthquake and tectonic studies (7 papers), Seismology and Earthquake Studies (4 papers), Seismic Imaging and Inversion Techniques (3 papers), Nuclear Materials and Properties (1 paper), Earthquake Detection and Analysis (1 paper), Geophysical Methods and Applications (1 paper) and Radioactive contamination and transfer (1 paper). The work is most often cited by research in Geophysics (378 citations), Artificial Intelligence (110 citations), Ocean Engineering (43 citations), Management, Monitoring, Policy and Law (26 citations) and Oceanography (25 citations). M. Bahavar has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Chad Trabant, A. R. Hutko, Gavin Baker, J. Roger Bowman, R. C. Aster, T. K. Ahern, Keith D. Koper, R. E. Anthony, R. T. Weekly and Martin van Driel. Their work appears in journals such as Seismological Research Letters, Geophysical Research Letters, AGUFM and AGU Fall Meeting Abstracts.
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.