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Modeling and Simulation Systems

Modeling and Simulation Systems is a research topic within Computational Theory and Mathematics. Science Explorer counts 6.7k research works in it since 1950. 11.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the Modelica language and simulation environment, which enables object-oriented modeling, co-simulation, and simulation of cyber-physical systems. It covers topics such as equation-based languages, hybrid modeling, real-time systems, and mechatronic systems.

  • Modelica
  • Simulation
  • Object-Oriented Modeling
  • Co-Simulation
  • Cyber-Physical Systems
  • Equation-Based Languages
  • Hybrid Modeling
  • Open Source
  • Real-Time Systems
  • Mechatronic Systems
Research works
6.7k
fractional, since 1950
In the world top 10%
788
per year above
Top-10% rate
11.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-15%
the tick is no change

Which countries lead Modeling and Simulation Systems research?

By volume, Germany and the United States publish the most (143 and 128 works in 2022–2025).

By volume, 2022–2025

  1. 1 Germany 143 works
  2. 2 United States 128 works
  3. 3 China 89 works
  4. 4 Italy 35 works
  5. 5 France 34 works
  6. 6 India 23 works
  7. 7 Canada 20 works
  8. 8 United Kingdom 20 works
  9. 9 Spain 19 works
  10. 10 Sweden 17 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

Germany: 27.1%United States: 24.3%China: 16.8%Italy: 6.6%6 others listed: 25.2%27%largest
Germany143 · 27.1%United States128 · 24.3%China89 · 16.8%Italy35 · 6.6%6 others listed133 · 25.2%

Shares of the rows listed above, not of the whole node.

Which institutions lead Modeling and Simulation Systems research?

By volume in 2022–2025, RWTH Aachen University publishes the most Modeling and Simulation Systems research, followed by Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) and University of Stuttgart.

Who are the leading researchers in Modeling and Simulation Systems?

The most-cited researchers publishing on Modeling and Simulation Systems include Frede Blaabjerg.

  1. 1 Frede Blaabjerg Denmark 12k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Modeling and Simulation Systems research done?

The largest centres of Modeling and Simulation Systems research in 2022–2025 are Beijing (China), Aachen (Germany), Stuttgart (Germany) and Cologne (Germany).

Largest cities, 2022–2025

  1. 1 Beijing China 23 works
  2. 2 Aachen Germany 16 works
  3. 3 Stuttgart Germany 14 works
  4. 4 Cologne Germany 11 works
  5. 5 Paris France 9 works
  6. 6 Milan Italy 9 works
  7. 7 Karlsruhe Germany 8 works
  8. 8 Harbin China 8 works
  9. 9 Berlin Germany 7 works
  10. 10 Nanjing China 7 works
See Modeling and Simulation Systems on the map

Where is the best place to study Modeling and Simulation Systems?

Among universities, judged by research, RWTH Aachen University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 RWTH Aachen UniversityGermany 65.09.6%30.4×16 +44.4%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Modeling and Simulation Systems research growing?

Output in 2018–2022 was 15% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Modeling and Simulation Systems.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.