P. J. Maechling
About
In The Last Decade
P. J. Maechling
60 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Geophysics 1.6k
- Computer Networks and Communications 901
- Civil and Structural Engineering 790
- Information Systems and Management 711
- Information Systems 604
Countries citing papers authored by P. J. Maechling
This map shows the geographic impact of P. J. Maechling'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 P. J. Maechling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. J. Maechling more than expected).
Fields of papers citing papers by P. J. Maechling
This network shows the impact of papers produced by P. J. Maechling. 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 P. J. Maechling. The network helps show where P. J. Maechling may publish in the future.
Co-authorship network of co-authors of P. J. Maechling
This figure shows the co-authorship network connecting the top 25 collaborators of P. J. Maechling. A scholar is included among the top collaborators of P. J. Maechling 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 P. J. Maechling. P. J. Maechling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | Enhancing CyberShake Simulations for Engineering Applications | 1 |
| 3 | The Collaboratory for the Study of Earthquake Predictability Version 2 (CSEP2): Testing Forecasts that Generate Synthetic Earthquake Catalogs | 1 |
| 4 | A SCEC CyberShake Physics-Based Probabilistic Seismic Hazard Model for Northern California | 1 |
| 5 | Expanding CyberShake Physics-Based Seismic Hazard Calculations to Central California | 1 |
| 6 | Verification and Validation of High-Frequency (f max = 5 Hz) Ground Motion Simulations of the 2014 M 5.1 La Habra, California, earthquake | 4 |
| 7 | Using CyberShake Workflows to Manage Big Seismic Hazard Data on Large-Scale Open-Science HPC Resources | 1 |
| 8 | The SCEC Broadband Platform: Open-Source Software for Strong Ground Motion Simulation and Validation | 1 |
| 9 | Optimizing CyberShake Seismic Hazard Workflows for Large HPC Resources | 1 |
| 10 | 194 | |
| 11 | Using the Averaging-Based Factorization to Assess CyberShake Hazard Models | 3 |
| 12 | Full-3D waveform tomography of Southern California crustal structure by using earthquake recordings and ambient noise Green's functions based on adjoint and scattering-integral methods | 1 |
| 13 | Running On-Demand Strong Ground Motion Simulations with the Second-Generation Broadband Platform | 1 |
| 14 | A Vs30-derived Near-surface Seismic Velocity Model | 22 |
| 15 | Developing Performance Measures for the CISN Earthquake Early Warning Testing Center | 1 |
| 16 | Implementing Software Acceptance Tests as Scientific Workflows. | 2 |
| 17 | Optimization and Scalability of an Large-scale Earthquake Simulation Application | 1 |
| 18 | TeraShake: Strong Shaking in Los Angeles Expected From Southern San Andreas Earthquake | 5 |
| 19 | The SCEC Community Modeling Environment (SCEC/CME) - An Overview of its Architecture and Current Capabilities | 1 |
| 20 | Creating A Virtual Fault Database Using Ontologies | 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.