What is he best known for?
The fields of study he is best known for:
- Statistics
- Geometry
- Composite material
Dietrich Stoyan spends much of his time researching Point process, Statistical physics, Statistics, Point and Poisson distribution.
A large part of his Point process studies is devoted to Moment measure.
His Statistical physics study integrates concerns from other disciplines, such as Spatial analysis, Stochastic geometry, Hard spheres and Random field.
His Random field research is multidisciplinary, incorporating elements of Discrete mathematics and Combinatorics.
In general Statistics, his work in Estimator, Exploratory data analysis, Statistical model and Sampling scheme is often linked to Trap linking many areas of study.
As a part of the same scientific family, Dietrich Stoyan mostly works in the field of Poisson distribution, focusing on Sampling and, on occasion, Stochastic process.
His most cited work include:
- Stochastic Geometry and Its Applications (3719 citations)
- Comparison Methods for Stochastic Models and Risks (1509 citations)
- Statistical Analysis and Modelling of Spatial Point Patterns (1081 citations)
What are the main themes of his work throughout his whole career to date?
Dietrich Stoyan mostly deals with Point process, Statistical physics, Statistics, Point and Planar.
The concepts of his Point process study are interwoven with issues in Combinatorics, Estimator, Applied mathematics, Random field and Function.
His study in Random field concentrates on Random element, Random function and Random compact set.
Dietrich Stoyan focuses mostly in the field of Statistical physics, narrowing it down to topics relating to Hard spheres and, in certain cases, Porosity.
His work on Poisson distribution as part of general Statistics study is frequently linked to Statistical analysis, bridging the gap between disciplines.
As part of his studies on Point, Dietrich Stoyan frequently links adjacent subjects like Algorithm.
He most often published in these fields:
- Point process (25.11%)
- Statistical physics (21.52%)
- Statistics (15.25%)
What were the highlights of his more recent work (between 2009-2021)?
- Point process (25.11%)
- Statistical physics (21.52%)
- Geometry (7.62%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Point process, Statistical physics, Geometry, Statistics and Ecology.
Dietrich Stoyan combines subjects such as Function, Estimator and Econometrics with his study of Point process.
Dietrich Stoyan undertakes multidisciplinary investigations into Statistical physics and Single parameter in his work.
His studies deal with areas such as Hard spheres, Planar, Poisson point process and Spherical contact distribution function as well as Geometry.
The Statistics study combines topics in areas such as Mathematical economics and Point.
His Stochastic modelling study deals with Percolation intersecting with Stochastic geometry.
Between 2009 and 2021, his most popular works were:
- Correct testing of mark independence for marked point patterns (66 citations)
- Statistical Physics and Spatial Statistics: The Art Of Analyzing And Modeling Spatial Structures And Pattern Formation (63 citations)
- Multi-scale pattern analysis of a mound-building termite species. (45 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Geometry
- Composite material
Dietrich Stoyan focuses on Statistical physics, Point process, Context, Characterization and Point.
His Statistical physics research integrates issues from Spatial analysis and Hard spheres.
His biological study spans a wide range of topics, including Stochastic geometry, Percolation, Distribution function, Integral geometry and Porous medium.
His Point process research entails a greater understanding of Statistics.
His work focuses on many connections between Characterization and other disciplines, such as Monte Carlo method, that overlap with his field of interest in Covariance, Mathematical optimization, Random systems, Correlation function and Space.
His Point study combines topics from a wide range of disciplines, such as Mathematical analysis, Envelope, Null model, Monte carlo test and Goodness of fit.
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