What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Statistics
The scientist’s investigation covers issues in Statistical physics, Mathematical analysis, Distribution, Stochastic process and Random matrix.
His work in the fields of Statistical mechanics overlaps with other areas such as Diffusion equation.
In general Mathematical analysis study, his work on Distribution often relates to the realm of Boundary, thereby connecting several areas of interest.
His research in Distribution intersects with topics in Statistics, Random walk, First-hitting-time model, Extreme value theory and Position.
His Stochastic process study incorporates themes from Steady state, Control theory, Simple and Growth rate.
The study incorporates disciplines such as Fermion, Combinatorics and Brownian motion in addition to Random matrix.
His most cited work include:
- Force Fluctuations in Bead Packs (539 citations)
- Persistence and first-passage properties in nonequilibrium systems (323 citations)
- Persistence and First-Passage Properties in Non-equilibrium Systems (289 citations)
What are the main themes of his work throughout his whole career to date?
Satya N. Majumdar mainly focuses on Statistical physics, Distribution, Combinatorics, Brownian motion and Mathematical analysis.
His study in Statistical physics is interdisciplinary in nature, drawing from both Phase transition, Non-equilibrium thermodynamics, Stochastic process, Lattice and Scaling.
His Distribution research is multidisciplinary, relying on both Space, Random walk, Position and Mathematical physics.
In his study, Large deviations theory is strongly linked to Random matrix, which falls under the umbrella field of Combinatorics.
His work in Brownian motion addresses subjects such as Probability distribution, which are connected to disciplines such as Rate function, Random variable and Distribution.
His studies deal with areas such as Dimension and Gaussian as well as Mathematical analysis.
He most often published in these fields:
- Statistical physics (30.50%)
- Distribution (21.81%)
- Combinatorics (20.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Distribution (21.81%)
- Mathematical physics (13.90%)
- Random walk (17.57%)
In recent papers he was focusing on the following fields of study:
Distribution, Mathematical physics, Random walk, Brownian motion and Position are his primary areas of study.
His Distribution research is under the purview of Mathematical analysis.
His work carried out in the field of Random walk brings together such families of science as Jump, Probability density function, Statistical physics and Lattice.
His Statistical physics research is multidisciplinary, incorporating elements of Correlation function, Stochastic process, Asymptotic distribution and Power law.
His studies deal with areas such as Probability distribution, Limit and Particle as well as Brownian motion.
His research in Position focuses on subjects like Function, which are connected to Harmonic oscillator.
Between 2018 and 2021, his most popular works were:
- Stochastic Resetting and Applications (98 citations)
- Effects of refractory period on stochastic resetting (71 citations)
- Run-and-tumble particle in one-dimensional confining potentials: Steady-state, relaxation, and first-passage properties (63 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Algebra
His primary scientific interests are in Position, Statistical physics, Distribution, Brownian motion and Mathematical physics.
His study in Position is interdisciplinary in nature, drawing from both Mathematical analysis and First-hitting-time model.
His Mathematical analysis research integrates issues from Phase and Constant.
Satya N. Majumdar has included themes like Correlation function, Connection, Stochastic process, Power law and Random walk in his Statistical physics study.
His Distribution research includes themes of Stationary state and Rate function.
His work on Brownian bridge as part of general Brownian motion study is frequently connected to Boundary, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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