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- Remco van der Hofstad

Mathematics

Netherlands

2022

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
38
Citations
5,639
232
World Ranking
1584
National Ranking
20

2022 - Research.com Mathematics in Netherlands Leader Award

2018 - Royal Netherlands Academy of Arts and Sciences

- Mathematical analysis
- Statistics
- Combinatorics

Remco van der Hofstad mainly focuses on Combinatorics, Random graph, Discrete mathematics, Exponent and Statistical physics. His work deals with themes such as Critical exponent, Central limit theorem, Random variable and Self-avoiding walk, which intersect with Combinatorics. His Random graph research incorporates elements of Theoretical computer science, Degree, Degree distribution, Graph theory and Convergence of random variables.

His Theoretical computer science research focuses on subjects like Complex network, which are linked to Probabilistic logic. His Discrete mathematics study integrates concerns from other disciplines, such as Phase transition, Upper and lower bounds and Distance. His studies deal with areas such as Motion, Percolation, Function, Moment and Scale-free network as well as Statistical physics.

- Random Graphs and Complex Networks (521 citations)
- Random Graphs and Complex Networks: Volume 1 (131 citations)
- Probing exchange pathways in one-dimensional aggregates with super-resolution microscopy (125 citations)

His primary areas of study are Combinatorics, Random graph, Discrete mathematics, Exponent and Percolation. The study incorporates disciplines such as Upper and lower bounds, Random walk and Random variable in addition to Combinatorics. Remco van der Hofstad combines subjects such as Degree, Degree distribution, Statistical physics, First passage percolation and Scaling with his study of Random graph.

He has researched Scaling in several fields, including Phase transition and Brownian motion. His Discrete mathematics study which covers Lattice that intersects with Critical dimension. His Percolation study combines topics from a wide range of disciplines, such as Function, Dimension, Critical exponent and Cluster.

- Combinatorics (52.66%)
- Random graph (46.39%)
- Discrete mathematics (35.42%)

- Random graph (46.39%)
- Discrete mathematics (35.42%)
- Combinatorics (52.66%)

His main research concerns Random graph, Discrete mathematics, Combinatorics, Statistical physics and Exponent. His Random graph research includes themes of Preferential attachment, Multiplicative function, Degree, Degree distribution and Upper and lower bounds. His biological study spans a wide range of topics, including Multiple edges, Clustering coefficient and Scaling.

His Discrete mathematics research is multidisciplinary, incorporating perspectives in Graph, Mixing, Null hypothesis, Asymptotically optimal algorithm and Random walk. The various areas that he examines in his Combinatorics study include Branching random walk and Scaling limit. His Statistical physics research is multidisciplinary, relying on both Metric space and Extreme value theory.

- Scale-free networks well done (64 citations)
- Lace Expansion and Mean-Field Behavior for the Random Connection Model (11 citations)
- Scale-free network clustering in hyperbolic and other random graphs (9 citations)

- Mathematical analysis
- Statistics
- Combinatorics

His scientific interests lie mostly in Random graph, Discrete mathematics, Combinatorics, Preferential attachment and Statistical physics. His work carried out in the field of Random graph brings together such families of science as Random variable, Multiplicative function, Renormalization group, Degree and Universality. He connects Discrete mathematics with Exponent in his research.

The concepts of his Combinatorics study are interwoven with issues in Trichotomy and Backtracking. His Statistical physics study incorporates themes from Estimator, Mathematical proof, Network science and Extreme value theory. Remco van der Hofstad interconnects Lévy process and Scaling in the investigation of issues within Degree distribution.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Random Graphs and Complex Networks

Remco van der Hofstad.

**(2017)**

595 Citations

Probing exchange pathways in one-dimensional aggregates with super-resolution microscopy

Lorenzo Albertazzi;Daan van der Zwaag;Christianus M. A. Leenders;Robert Fitzner.

Science **(2014)**

220 Citations

Random Graphs and Complex Networks: Volume 1

Remco van der Hofstad.

**(2016)**

220 Citations

On the efficiency of multicast

Piet Van Mieghem;Gerard Hooghiemstra;Remco van der Hofstad.

IEEE ACM Transactions on Networking **(2001)**

140 Citations

Distances in random graphs with finite variance degrees

Remco van der Hofstad;Gerard Hooghiemstra;Piet Van Mieghem.

Random Structures and Algorithms **(2005)**

128 Citations

Distances in Random Graphs with Finite Mean and Infinite Variance Degrees

Remco W. van der Hofstad;Gerard Hooghiemstra;Dmitri Znamenski.

Electronic Journal of Probability **(2007)**

127 Citations

Critical two-point functions and the lace expansion for spread-out high-dimensional percolation and related models

T Takashi Hara;RW Remco van der Hofstad;RW Remco van der Hofstad;G Gordon Slade.

Annals of Probability **(2003)**

116 Citations

Scale-free Networks Well Done

Ivan Voitalov;Pim van der Hoorn;Remco van der Hofstad;Dmitri Krioukov.

Bulletin of the American Physical Society **(2019)**

114 Citations

Random subgraphs of finite graphs: I. The scaling window under the triangle condition

Christian Borgs;Jennifer T. Chayes;Remco van der Hofstad;Gordon Slade.

Random Structures and Algorithms **(2005)**

107 Citations

Epidemic spreading on complex networks with community structures

C Clara Stegehuis;RW Remco van der Hofstad;Jsh Johan van Leeuwaarden.

Scientific Reports **(2016)**

104 Citations

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