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Software Engineering and Design Patterns

Software Engineering and Design Patterns is a research topic within Development. Science Explorer counts 5k research works in it since 1951. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the impact of the garment industry in developing countries, with a focus on labor conditions, socio-economic effects, supply chain management, worker health, trade regulations, and ethical trading initiatives. It also delves into the challenges and opportunities faced by women workers in this industry. The research covers various aspects such as globalization effects, business strategies, and the role of the industry in the global economy.

  • Garment Industry
  • Labor Conditions
  • Socio-Economic Impact
  • Supply Chain Management
  • Worker Health
  • Trade Regulations
  • Globalization Effects
  • Business Strategies
  • Ethical Trading Initiatives
  • Women Workers
Research works
5k
fractional, since 1951
In the world top 10%
489
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+6%
the tick is no change
Largest producer
United States
43% of the 10 largest, 2022-now
Software Engineering and Design Patterns

Which countries lead Software Engineering and Design Patterns research?

By volume, the United States and India publish the most (155 and 60 works in 2022-now).

By volume, 2022-now

  1. 1 United States 155 works
  2. 2 India 60 works
  3. 3 Germany 40 works
  4. 4 United Kingdom 25 works
  5. 5 China 22 works
  6. 6 Indonesia 20 works
  7. 7 Netherlands 13 works
  8. 8 Brazil 10 works
  9. 9 Switzerland 10 works
  10. 10 Japan 10 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.

United States: 42.6%India: 16.6%Germany: 11.0%United Kingdom: 6.8%6 others listed: 23.0%43%largest
United States155 · 42.6%India60 · 16.6%Germany40 · 11.0%United Kingdom25 · 6.8%6 others listed84 · 23.0%

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

Which institutions lead Software Engineering and Design Patterns research?

By volume in 2022-now, American Society of Genealogists publishes the most Software Engineering and Design Patterns research, followed by Wirtschaftspsychologische Gesellschaft and Film Independent.

Who are the leading researchers in Software Engineering and Design Patterns?

The most-cited researchers publishing on Software Engineering and Design Patterns include Stephen M. Smith.

  1. 1 Stephen M. Smith United Kingdom 214k citations

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

What are the most cited papers in Software Engineering and Design Patterns?

The most cited paper in Software Engineering and Design Patterns is "Design Patterns: Elements of Reusable Object-Oriented Software" (Erich Gamma, Richard F. Helm, Ralph E. Johnson et al., 1994), with 21,853 citations. Next come "Maintaining knowledge about temporal intervals" (7,599) and "Tcl and the Tk Toolkit" (1,605).

Most cited papers
#PaperReleasedCitations
1 Design Patterns: Elements of Reusable Object-Oriented Software Erich Gamma, Richard F. Helm, Ralph E. Johnson et al. 1994 21,853
2 Maintaining knowledge about temporal intervals James F. Allen · Communications of the ACM Open access Nov 1983 7,599
3 Tcl and the Tk Toolkit John K. Ousterhout 1994 1,605
4 The object constraint language : precise modeling with UML Jos Warmer, Anneke Kleppe · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno 13 Oct 1998 1,153
5 A brief history of the internet Barry M. Leiner, Vinton G. Cerf, David Draper Clark et al. · ACM SIGCOMM Computer Communication Review 7 Oct 2009 984
All 100 most cited papers, with filters and sorting

Where is Software Engineering and Design Patterns research done?

The largest centres of Software Engineering and Design Patterns research in 2022-now are Sharon (United States), Munich (Germany), London (United Kingdom) and Austin (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Sharon.

Largest cities, 2022-now

  1. 1 SharonUnited States 37 works
  2. 2 MunichGermany 8 works
  3. 3 LondonUnited Kingdom 8 works
  4. 4 AustinUnited States 5 works
  5. 5 BeijingChina 5 works
  6. 6 HamburgGermany 5 works
  7. 7 Los AngelesUnited States 5 works
  8. 8 ChennaiIndia 5 works
  9. 9 CoimbatoreIndia 4 works
  10. 10 LisbonPortugal 4 works

Where it is the local speciality

  1. SharonUS · 37.3 works708×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Software Engineering and Design Patterns than the world average.

See Software Engineering and Design Patterns on the map

Is Software Engineering and Design Patterns research growing?

Output in 2022-2025 was 6% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Software Engineering and Design Patterns.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Software Engineering and Design Patterns as a percentage of every work published that year, 0.0013% in 2024.

still counting0.010%0.020%Software Engineering and Design Patterns0.0023% in 202519801990200020102020

Fractional works of Software Engineering and Design Patterns over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Software Engineering and Design Patterns10.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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