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Sustainability, Environment, and Optimization Algorithms

Sustainability, Environment, and Optimization Algorithms is a research topic within Water Science and Technology. Science Explorer counts 517 research works in it since 1953. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on integrated water resources management, sustainability, and the impact of climate change on water availability. It explores the use of genetic algorithms and multi-agent systems in optimizing resource management, as well as the intersection of healthcare technology and environmental sustainability. The cluster also delves into land use change, biodiversity conservation, and the accounting of natural resources, providing valuable insights for environmental policy.

  • Water Resources Management
  • Sustainability
  • Climate Change
  • Genetic Algorithm
  • Multi-Agent System
  • Healthcare Technology
  • Land Use Change
  • Biodiversity Conservation
  • Natural Resource Accounting
  • Environmental Policy
Research works
517
fractional, since 1953
In the world top 10%
52
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+68%
the tick is no change
Largest producer
Germany
56% of the 10 largest, 2022-now
Sustainability, Environment, and Optimization Algorithms

Which countries lead Sustainability, Environment, and Optimization Algorithms research?

By volume, Germany and China publish the most (82 and 40 works in 2022-now).

By volume, 2022-now

  1. 1 Germany 82 works
  2. 2 China 40 works
  3. 3 Austria 6 works
  4. 4 Switzerland 6 works
  5. 5 United States 5 works
  6. 6 Netherlands 3 works
  7. 7 Azerbaijan 2 works
  8. 8 India 2 works
  9. 9 Uzbekistan 1 works
  10. 10 United Kingdom 1 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: 55.8%China: 27.2%Austria: 4.4%Switzerland: 3.7%6 others listed: 9.0%56%largest
Germany82 · 55.8%China40 · 27.2%Austria6 · 4.4%Switzerland6 · 3.7%6 others listed13 · 9.0%

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

Which institutions lead Sustainability, Environment, and Optimization Algorithms research?

By volume in 2022-now, Leibniz Association publishes the most Sustainability, Environment, and Optimization Algorithms research, followed by University of Duisburg-Essen and Ludwig-Maximilians-Universität München.

Who are the leading researchers in Sustainability, Environment, and Optimization Algorithms?

The most-cited researchers publishing on Sustainability, Environment, and Optimization Algorithms include Yi-Xiang Wang, Hermann Wagner and Markus M. Lerch.

  1. 1 Yi-Xiang Wang China 71k citations
  2. 2 Hermann Wagner Germany 54k citations
  3. 3 Markus M. Lerch Germany 48k citations
  4. 4 Hui Li China 45k 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 Sustainability, Environment, and Optimization Algorithms?

The most cited paper in Sustainability, Environment, and Optimization Algorithms is "Nachhaltige Entwicklung: Hintergründe und Zusammenhänge" (Gerd Michelsen, Maik Adomßent, 2014), with 142 citations. Next come "Responsible innovation: bringing together technology assessment, applied ethics, and STS research" (140) and "Deliberating on low carbon development" (126).

Most cited papers
#PaperReleasedCitations
1 Nachhaltige Entwicklung: Hintergründe und Zusammenhänge Gerd Michelsen, Maik Adomßent Book chapter 2014 142
2 Responsible innovation: bringing together technology assessment, applied ethics, and STS research Armin Grünwald · Repository KITopen (Karlsruhe Institute of Technology) Open access 2011 140
3 Deliberating on low carbon development Yacob Mulugetta, Frauke Urban · Energy Policy Open access 10 Jun 2010 126
4 Soziale Nachhaltigkeit als Thema der Anthropologie Friedrich M. Zimmermann, Hans‐Ferdinand Angel Book chapter 2016 115
5 Arbeit und Sozialpolitik Fritz Böhle, Stephan Lessenich Book chapter 2018 89
All 101 most cited papers, with filters and sorting

Where is Sustainability, Environment, and Optimization Algorithms research done?

The largest centres of Sustainability, Environment, and Optimization Algorithms research in 2022-now are Berlin (Germany), Munich (Germany), Beijing (China) and Vienna (Austria).

Largest cities, 2022-now

  1. 1 BerlinGermany 9 works
  2. 2 MunichGermany 6 works
  3. 3 BeijingChina 5 works
  4. 4 ViennaAustria 5 works
  5. 5 EssenGermany 4 works
  6. 6 HanoverGermany 4 works
  7. 7 BochumGermany 3 works
  8. 8 DortmundGermany 3 works
  9. 9 WuhanChina 3 works
  10. 10 ShenyangChina 3 works
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Is Sustainability, Environment, and Optimization Algorithms research growing?

Output in 2022-2025 was 68% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Sustainability, Environment, and Optimization Algorithms.

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 Sustainability, Environment, and Optimization Algorithms as a percentage of every work published that year, 0.00051% in 2024.

still counting0.00050%0.0010%Sustainability, Environment, and Optimization Algorithms0.00074% in 202519801990200020102020

Fractional works of Sustainability, Environment, and Optimization Algorithms 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%Sustainability, Environment, and Optimization Algorithms9.6% in 20252020

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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