Science Explorer Interactive view Map

Process Optimization and Integration

Process Optimization and Integration is a research topic within Control and Systems Engineering. Science Explorer counts 28k research works in it since 1950. 19.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers the state-of-the-art in process optimization under uncertainty, focusing on areas such as process intensification, scheduling, distillation, supply chain optimization, and the application of mathematical programming techniques. It also explores energy efficiency, water network synthesis, and sustainability metrics in the context of chemical processes.

  • Optimization
  • Process Intensification
  • Scheduling
  • Distillation
  • Supply Chain
  • Uncertainty
  • Mathematical Programming
  • Energy Efficiency
  • Water Network Synthesis
  • Sustainability Metrics
Research works
28k
fractional, since 1950
In the world top 10%
5.3k
per year above
Top-10% rate
19.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+14%
the tick is no change

Which countries lead Process Optimization and Integration research?

By volume, China and the United States publish the most (884 and 426 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 884 works
  2. 2 United States 426 works
  3. 3 India 271 works
  4. 4 Germany 228 works
  5. 5 Russia 172 works
  6. 6 United Kingdom 144 works
  7. 7 Brazil 130 works
  8. 8 Iran 129 works
  9. 9 Indonesia 112 works
  10. 10 France 106 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.

China: 34.0%United States: 16.4%India: 10.4%Germany: 8.8%6 others listed: 30.5%34%largest
China884 · 34.0%United States426 · 16.4%India271 · 10.4%Germany228 · 8.8%6 others listed794 · 30.5%

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

Which institutions lead Process Optimization and Integration research?

By volume in 2022–2025, Qingdao University of Science and Technology publishes the most Process Optimization and Integration research, followed by East China University of Science and Technology and Tianjin University.

Who are the leading researchers in Process Optimization and Integration?

The most-cited researchers publishing on Process Optimization and Integration include Kalyanmoy Deb, İbrahim Dinçer and MengChu Zhou.

  1. 1 Kalyanmoy Deb United States 6.7k citations
  2. 2 İbrahim Dinçer Canada 5.9k citations
  3. 3 MengChu Zhou United States 4.4k citations
  4. 4 Manfred Morari Switzerland 3.4k citations

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

Where is Process Optimization and Integration research done?

The largest centres of Process Optimization and Integration research in 2022–2025 are Beijing (China), Qingdao (China), Shanghai (China) and Tehran (Iran). Among places with at least 20 works in it, it is an unusually large share of all research in Guanajuato City.

Largest cities, 2022–2025

  1. 1 Beijing China 162 works
  2. 2 Qingdao China 83 works
  3. 3 Shanghai China 82 works
  4. 4 Tehran Iran 66 works
  5. 5 Tianjin China 53 works
  6. 6 Moscow Russia 50 works
  7. 7 London United Kingdom 50 works
  8. 8 Hangzhou China 47 works
  9. 9 Nanjing China 36 works
  10. 10 Xi'an China 35 works

Where it is the local speciality

  1. Guanajuato CityMX · 22.6 works34×
← less than its size predictsmore →

Location quotient: how much more of its research is in Process Optimization and Integration than the world average.

See Process Optimization and Integration on the map

Where is the best place to study Process Optimization and Integration?

Among universities, judged by research, Qingdao University of Science and Technology, Changzhou University and Swinburne University of Technology Sarawak Campus 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.

0%20%40%60%mean 23.34%fractional works in this node (log) →share in the world top 10% →Qingdao University of Science and Technology: 46, 32.9%Changzhou University: 14, 49.3%Swinburne University of Technology Sarawak Campus: 9, 34.0%China University of Petroleum, East China: 21, 20.9%Universidad de Guanajuato: 23, 15.6%Imperial College London: 24, 22.5%East China University of Science and Technology: 36, 15.7%Texas A&M University: 24, 21.1%Carnegie Mellon University: 20, 12.1%Technical University of Denmark: 20, 9.3%Changzhou UniversitySwinburne University…Qingdao University o…China University of …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Qingdao University of Science and TechnologyChina 70.032.9%30.1×46 +15.2%
2 Changzhou UniversityChina 63.849.3%12.8×14 -23.7%
3 Swinburne University of Technology Sarawak CampusMalaysia 63.234.0%81.9×9
4 China University of Petroleum, East ChinaChina 58.620.9%10.9×21 +85.8%
5 Universidad de GuanajuatoMexico 57.615.6%37.9×23 +92.9%
6 Imperial College LondonUnited Kingdom 55.822.5%6.5×24 +47.0%
7 East China University of Science and TechnologyChina 54.815.7%17.5×36 -24.6%
8 Texas A&M UniversityUnited States 53.521.1%7.8×24 +39.6%
9 Carnegie Mellon UniversityUnited States 51.812.1%12.0×20 +30.4%
10 Technical University of DenmarkDenmark 51.59.3%9.3×20 +29.5%

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 Process Optimization and Integration research growing?

Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Process Optimization and Integration.

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.