H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mathematics H-index 38 Citations 5,222 177 World Ranking 1178 National Ranking 11

Research.com Recognitions

Awards & Achievements

2018 - Royal Netherlands Academy of Arts and Sciences

Overview

What is he best known for?

The fields of study he is best known for:

  • 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.

His most cited work include:

  • 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)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

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

What were the highlights of his more recent work (between 2018-2021)?

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

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • 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)

In his most recent research, the most cited papers focused on:

  • 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.

Top Publications

Random Graphs and Complex Networks

Remco van der Hofstad.
(2017)

521 Citations

Random Graphs and Complex Networks: Volume 1

Remco van der Hofstad.
(2016)

196 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)

179 Citations

On the efficiency of multicast

Piet Van Mieghem;Gerard Hooghiemstra;Remco van der Hofstad.
IEEE ACM Transactions on Networking (2001)

137 Citations

Distances in random graphs with finite variance degrees

Remco van der Hofstad;Gerard Hooghiemstra;Piet Van Mieghem.
Random Structures and Algorithms (2005)

122 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)

119 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)

105 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

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)

100 Citations

First passage percolation on random graphs with finite mean degrees

Shankar Bhamidi;RW Remco van der Hofstad;G Gerard Hooghiemstra.
Annals of Applied Probability (2010)

94 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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