What is he best known for?
The fields of study he is best known for:
- Statistics
- Seismology
- Fault
His primary areas of study are Seismology, Geodesy, Geodetic datum, Earthquake prediction and Bruit.
His Seismology research is multidisciplinary, incorporating elements of Crust and Borehole.
His work is dedicated to discovering how Geodesy, San andreas fault are connected with Strainmeter and other disciplines.
His research on Geodetic datum frequently connects to adjacent areas such as Fault.
John Langbein has researched Earthquake prediction in several fields, including Aftershock, Intraplate earthquake, Seismic gap and Earthquake simulation.
His work on White noise as part of general Statistics study is frequently connected to Noise power, Amplitude, Noise and Gradient noise, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Correlated errors in geodetic time series: Implications for time‐dependent deformation (279 citations)
- Implications for prediction and hazard assessment from the 2004 Parkfield earthquake (274 citations)
- Noise in GPS displacement measurements from Southern California and Southern Nevada (143 citations)
What are the main themes of his work throughout his whole career to date?
John Langbein mostly deals with Seismology, Caldera, Geodesy, Resurgent dome and Geodetic datum.
His Seismology study frequently draws connections to adjacent fields such as Borehole.
His study in Caldera is interdisciplinary in nature, drawing from both Geothermal gradient, Earthquake swarm and Geomorphology.
His Creepmeter research extends to Geodesy, which is thematically connected.
His studies in Resurgent dome integrate themes in fields like Domo and Deformation.
His Geodetic datum research is multidisciplinary, relying on both GNSS applications and Meteorology.
He most often published in these fields:
- Seismology (61.43%)
- Caldera (32.86%)
- Geodesy (30.00%)
What were the highlights of his more recent work (between 2011-2021)?
- Seismology (61.43%)
- Geodetic datum (22.86%)
- Remote sensing (4.29%)
In recent papers he was focusing on the following fields of study:
John Langbein spends much of his time researching Seismology, Geodetic datum, Remote sensing, GNSS applications and Borehole.
The study incorporates disciplines such as ShakeAlert and Natural hazard in addition to Seismology.
His study with Geodetic datum involves better knowledge in Geodesy.
Combining a variety of fields, including GNSS applications, Time domain, Missing data, Covariance, Toeplitz matrix and Algorithm, are what the author presents in his essays.
His study in the fields of Strainmeter under the domain of Borehole overlaps with other disciplines such as Calibration and NAPA.
The In situ calibration research John Langbein does as part of his general Calibration study is frequently linked to other disciplines of science, such as Linear combination, Observatory, Earthscope and Geophysics, therefore creating a link between diverse domains of science.
Between 2011 and 2021, his most popular works were:
- Crowdsourced earthquake early warning (66 citations)
- Real-time inversions for finite fault slip models and rupture geometry based on high-rate GPS data (60 citations)
- Estimating rate uncertainty with maximum likelihood: differences between power-law and flicker–random-walk models (55 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Seismology
- Fault
John Langbein spends much of his time researching Moment magnitude scale, Poison control, Crowd sourcing, Natural disaster and Computer security.
His Moment magnitude scale investigation overlaps with other disciplines such as Bayesian probability, Smoothing, Geodesy, Inversion and Geometry.
His Poison control study overlaps with Crowdsourcing and Earthquake warning system.
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