D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 89 Citations 25,178 534 World Ranking 62 National Ranking 3
Physics D-index 87 Citations 21,542 493 World Ranking 1717 National Ranking 37

Research.com Recognitions

Awards & Achievements

2018 - Aneesur Rahman Prize for Computational Physics, American Physical Society

2006 - Fellow of American Physical Society (APS) Citation For his novel contributions to significant problems in computational physics including fracture, packings, percolation, granular flow, dunes and irreversible growth

1986 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Thermodynamics
  • Composite material

His main research concerns Mechanics, Statistical physics, Classical mechanics, Granular material and Scaling. His Mechanics research includes elements of Barchan, Saltation and Dissipation. The various areas that Hans J. Herrmann examines in his Barchan study include Geometry and Wind direction.

His biological study spans a wide range of topics, including Monte Carlo method, Percolation threshold, Percolation and Cluster. His Classical mechanics course of study focuses on Molecular dynamics and Measure. His Scaling study incorporates themes from Transfer matrix and Lattice.

His most cited work include:

  • Statistical Models for the Fracture of Disordered Media (757 citations)
  • Mitigation of malicious attacks on networks (519 citations)
  • Apollonian networks: simultaneously scale-free, small world, euclidean, space filling, and with matching graphs. (323 citations)

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

His scientific interests lie mostly in Mechanics, Statistical physics, Classical mechanics, Granular material and Condensed matter physics. His Mechanics research focuses on Saltation and how it relates to Turbulence. Hans J. Herrmann interconnects Fractal dimension, Percolation, Cluster, Monte Carlo method and Scaling in the investigation of issues within Statistical physics.

His Fractal dimension study frequently draws connections to adjacent fields such as Geometry. Many of his studies on Percolation apply to Percolation threshold as well. Hans J. Herrmann integrates Power law and Exponent in his research.

He most often published in these fields:

  • Mechanics (32.65%)
  • Statistical physics (24.59%)
  • Classical mechanics (11.75%)

What were the highlights of his more recent work (between 2013-2021)?

  • Mechanics (32.65%)
  • Statistical physics (24.59%)
  • Fractal dimension (10.18%)

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

Hans J. Herrmann mainly focuses on Mechanics, Statistical physics, Fractal dimension, Scaling and Condensed matter physics. His Mechanics study integrates concerns from other disciplines, such as Granular material, Particle, Saltation and Porous medium. His study looks at the relationship between Saltation and topics such as Wind tunnel, which overlap with Turbulence.

His Statistical physics research is multidisciplinary, relying on both Function, Schramm–Loewner evolution, Hurst exponent and Brownian motion. His Fractal dimension study combines topics from a wide range of disciplines, such as Geometry and Percolation threshold. His Condensed matter physics research incorporates themes from Dirac equation, Electron, Percolation and Graphene.

Between 2013 and 2021, his most popular works were:

  • Revealing the structure of the world airline network (99 citations)
  • Disease-induced resource constraints can trigger explosive epidemics (64 citations)
  • Disease-induced resource constraints can trigger explosive epidemics (64 citations)

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

  • Quantum mechanics
  • Thermodynamics
  • Composite material

Hans J. Herrmann mainly investigates Mechanics, Statistical physics, Discrete element method, Complex network and Topology. The study incorporates disciplines such as Rheology, Granular material, Saltation, Porous medium and Saturation in addition to Mechanics. His work carried out in the field of Statistical physics brings together such families of science as Fractal dimension, Simulation and External field.

Hans J. Herrmann works mostly in the field of Discrete element method, limiting it down to concerns involving Power law and, occasionally, Radial line, Conical surface, Vector field and Body orifice. His studies in Complex network integrate themes in fields like Telecommunications network, Distributed computing, Shortest path problem and Electric power. In his study, Probability distribution, Tree, Limit and Focus is strongly linked to Degree distribution, which falls under the umbrella field of Topology.

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.

Best Publications

Statistical Models for the Fracture of Disordered Media

Hans J. Herrmann;Stéphane Roux.
(1990)

1004 Citations

Mitigation of malicious attacks on networks

Christian M. Schneider;André A. Moreira;José S. Andrade;Shlomo Havlin.
Proceedings of the National Academy of Sciences of the United States of America (2011)

593 Citations

Apollonian networks: simultaneously scale-free, small world, euclidean, space filling, and with matching graphs.

José S. Andrade;Hans J. Herrmann;Roberto F. S. Andrade;Luciano R. da Silva.
Physical Review Letters (2005)

464 Citations

Fracture of disordered, elastic lattices in two dimensions.

Hans J. Herrmann;Alex Hansen;Stephane Roux.
Physical Review B (1989)

441 Citations

Geometrical cluster growth models and kinetic gelation

H.J. Herrmann.
Physics Reports (1986)

425 Citations

A random fuse model for breaking processes

L. de Arcangelis;S. Redner;H.J. Herrmann.
Journal De Physique Lettres (1985)

405 Citations

Modeling granular media on the computer

H. J. Herrmann;S. Luding.
Continuum Mechanics and Thermodynamics (1998)

397 Citations

Convection cells in vibrating granular media

J. A. C. Gallas;H. J. Herrmann;S. Sokołowski.
Physical Review Letters (1992)

387 Citations

Backbone and elastic backbone of percolation clusters obtained by the new method of 'burning'

H J Herrmann;D C Hong;H E Stanley.
Journal of Physics A (1984)

358 Citations

Continuum saltation model for sand dunes.

Gerd Sauermann;Gerd Sauermann;Klaus Kroy;Hans J. Herrmann;Hans J. Herrmann.
Physical Review E (2001)

340 Citations

Best Scientists Citing Hans J. Herrmann

Stefan Luding

Stefan Luding

University of Twente

Publications: 130

Farhang Radjai

Farhang Radjai

University of Montpellier

Publications: 60

Didier Sornette

Didier Sornette

ETH Zurich

Publications: 50

Takashi Nagatani

Takashi Nagatani

Shizuoka University

Publications: 49

Tao Zhou

Tao Zhou

University of Electronic Science and Technology of China

Publications: 40

Sauro Succi

Sauro Succi

Italian Institute of Technology

Publications: 39

Zhongzhi Zhang

Zhongzhi Zhang

Fudan University

Publications: 39

Stéphane Roux

Stéphane Roux

University of Paris-Saclay

Publications: 39

Bruno Andreotti

Bruno Andreotti

École Normale Supérieure

Publications: 37

Dirk Helbing

Dirk Helbing

ETH Zurich

Publications: 36

Jacek Tejchman

Jacek Tejchman

Gdańsk University of Technology

Publications: 35

Bing-Hong Wang

Bing-Hong Wang

University of Science and Technology of China

Publications: 35

Aibing Yu

Aibing Yu

Monash University

Publications: 35

Heinrich M. Jaeger

Heinrich M. Jaeger

University of Chicago

Publications: 34

Muhammad Sahimi

Muhammad Sahimi

University of Southern California

Publications: 33

Kurt Binder

Kurt Binder

Johannes Gutenberg University of Mainz

Publications: 32

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

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