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 49,031 288 World Ranking 61 National Ranking 2

Research.com Recognitions

Awards & Achievements

2008 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Economics and Empirical Social Sciences

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Statistics
  • Artificial intelligence

Dirk Helbing mainly focuses on Pedestrian, Statistical physics, Simulation, Crowds and Motion. His work deals with themes such as Traffic model, Boundary value problem, Three-phase traffic theory, Class and Acceleration, which intersect with Statistical physics. Dirk Helbing works mostly in the field of Three-phase traffic theory, limiting it down to topics relating to Microscopic traffic flow model and, in certain cases, Mathematical analysis and Traffic equations.

Dirk Helbing focuses mostly in the field of Simulation, narrowing it down to matters related to Traffic simulation and, in some cases, Cruise control. He interconnects Cognitive psychology and Social force model in the investigation of issues within Crowds. The various areas that he examines in his Fundamental diagram of traffic flow study include Universality and Nagel–Schreckenberg model.

His most cited work include:

  • Social Force Model for Pedestrian Dynamics (4017 citations)
  • Simulating dynamical features of escape panic (3341 citations)
  • Traffic and related self-driven many-particle systems (2537 citations)

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

Dirk Helbing focuses on Statistical physics, Traffic flow, Pedestrian, Crowds and Complex system. His Statistical physics study integrates concerns from other disciplines, such as Traffic equations, Self-organization, Three-phase traffic theory, Microscopic traffic flow model and Traffic model. Traffic flow connects with themes related to Bottleneck in his study.

As part of his studies on Pedestrian, Dirk Helbing often connects relevant subjects like Motion.

He most often published in these fields:

  • Statistical physics (16.42%)
  • Traffic flow (9.96%)
  • Pedestrian (8.08%)

What were the highlights of his more recent work (between 2015-2021)?

  • Political economy (3.23%)
  • Big data (7.54%)
  • Democracy (3.50%)

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

His primary areas of investigation include Political economy, Big data, Democracy, Digital Revolution and Incentive. His work is dedicated to discovering how Big data, Public relations are connected with Surrender, Coercion and Dignity and other disciplines. His Incentive research incorporates elements of Control, Value, Complex network and Dilemma.

His work in Complex network addresses issues such as Routing, which are connected to fields such as The Internet and Computer security. Dirk Helbing works mostly in the field of Dilemma, limiting it down to topics relating to Imitation and, in certain cases, Outcome, as a part of the same area of interest. The Stochastic game research Dirk Helbing does as part of his general Microeconomics study is frequently linked to other disciplines of science, such as Majority opinion, therefore creating a link between diverse domains of science.

Between 2015 and 2021, his most popular works were:

  • Science of science (314 citations)
  • Revisiting Street Intersections Using Slot-Based Systems. (113 citations)
  • Crowd behaviour during high-stress evacuations in an immersive virtual environment. (99 citations)

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

  • Law
  • Statistics
  • Artificial intelligence

His scientific interests lie mostly in Big data, Democracy, Collective intelligence, Social psychology and Smart grid. His study in Big data is interdisciplinary in nature, drawing from both Dignity, Digital Revolution, Coercion and Public relations. His studies deal with areas such as Social responsibility, Sustainable development, Role model, Business ethics and Social sustainability as well as Collective intelligence.

His Social psychology research includes themes of Incentive, Microeconomics, Simple and Key. Dirk Helbing has researched Incentive in several fields, including Routing, Diversity, The Internet, Game theory and Complex network. Dirk Helbing studies Stochastic game which is a part of Microeconomics.

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

Social Force Model for Pedestrian Dynamics

Dirk Helbing;Péter Molnár.
Physical Review E (1995)

5397 Citations

Simulating Dynamical Features of Escape Panic

Dirk Helbing;Illés J. Farkas;Tamás Vicsek.
Nature (2000)

4942 Citations

Traffic and related self-driven many-particle systems

Dirk Helbing;Dirk Helbing.
Reviews of Modern Physics (2001)

3721 Citations

Congested traffic states in empirical observations and microscopic simulations

Martin Treiber;Ansgar Hennecke;Dirk Helbing.
Physical Review E (2000)

2683 Citations

Growth, innovation, scaling, and the pace of life in cities

Luís M. A. Bettencourt;José Lobo;Dirk Helbing;Christian Kühnert.
Proceedings of the National Academy of Sciences of the United States of America (2007)

1989 Citations

Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions

Dirk Helbing;Lubos Buzna;Anders Johansson;Torsten Werner.
Transportation Science (2005)

1349 Citations

Simulation of pedestrian crowds in normal and evacuation situations

Dirk Helbing;Illés J. Farkas;Peter Molnar;Tamás Vicsek.
Pedestrian and Evacuation Dynamics (2002)

1044 Citations

Self-Organizing Pedestrian Movement

Dirk Helbing;Péter Molnár;Illés J Farkas;Kai Bolay.
Environment and Planning B-planning & Design (2001)

1010 Citations

GENERALIZED FORCE MODEL OF TRAFFIC DYNAMICS

Dirk Helbing;Benno Tilch.
Physical Review E (1998)

1006 Citations

Dynamics of crowd disasters: an empirical study.

Dirk Helbing;Anders Johansson;Habib Zein Al-Abideen.
Physical Review E (2007)

976 Citations

Best Scientists Citing Dirk Helbing

Serge P. Hoogendoorn

Serge P. Hoogendoorn

Delft University of Technology

Publications: 183

Takashi Nagatani

Takashi Nagatani

Shizuoka University

Publications: 161

Katsuhiro Nishinari

Katsuhiro Nishinari

University of Tokyo

Publications: 155

Matjaz Perc

Matjaz Perc

University of Maribor

Publications: 110

Dinesh Manocha

Dinesh Manocha

University of Maryland, College Park

Publications: 95

Bing-Hong Wang

Bing-Hong Wang

University of Science and Technology of China

Publications: 86

Tie-Qiao Tang

Tie-Qiao Tang

Beihang University

Publications: 83

Ziyou Gao

Ziyou Gao

Beijing Jiaotong University

Publications: 78

Winnie Daamen

Winnie Daamen

Delft University of Technology

Publications: 68

Majid Sarvi

Majid Sarvi

University of Melbourne

Publications: 60

Hai-Jun Huang

Hai-Jun Huang

Beihang University

Publications: 60

Boris S. Kerner

Boris S. Kerner

University of Duisburg-Essen

Publications: 58

Martin Treiber

Martin Treiber

TU Dresden

Publications: 58

Qing-Song Wu

Qing-Song Wu

University of Science and Technology of China

Publications: 57

Siuming Lo

Siuming Lo

City University of Hong Kong

Publications: 57

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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