Multi-Criteria Decision Making
Multi-Criteria Decision Making is a research topic within Management Science and Operations Research. Science Explorer counts 49k research works in it since 1950. 26.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application and development of Multi-Criteria Decision Making (MCDM) methods, including Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and various fuzzy set theories. The papers cover topics such as group decision making, supplier selection, environmental decision making, and the use of Geographic Information Systems (GIS) in decision analysis.
- Analytic Hierarchy Process
- TOPSIS
- Fuzzy Sets
- Group Decision Making
- Supplier Selection
- MCDM Methods
- Intuitionistic Fuzzy Sets
- Environmental Decision Making
- GIS-based Decision Analysis
- Belief Functions
- Research works
- 49k fractional, since 1950
- In the world top 10%
- 13k per year above
- Top-10% rate
- 26.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +35% the tick is no change
Which countries lead Multi-Criteria Decision Making research?
By volume, China and India publish the most (2k and 1.2k works in 2022–2025).
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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Multi-Criteria Decision Making research?
By volume in 2022–2025, Sichuan University publishes the most Multi-Criteria Decision Making research, followed by Istanbul Technical University and University of the Punjab.
By volume, 2022–2025
- 1 Sichuan University China 68 works
- 2 Istanbul Technical University Türkiye 61 works
- 3 University of the Punjab Pakistan 50 works
- 4 Vellore Institute of Technology University India 45 works
- 5 University of Belgrade Serbia 42 works
- 6 Riphah International University Pakistan 41 works
- 7 Yıldız Technical University Türkiye 36 works
- 8 Vidyasagar University India 35 works
- 9 King Abdulaziz University Saudi Arabia 35 works
- 10 Hanoi University of Industry Vietnam 32 works
Who are the leading researchers in Multi-Criteria Decision Making?
The most-cited researchers publishing on Multi-Criteria Decision Making include Peter M. Bentler, Francisco Herrera and Witold Pedrycz.
- 1 Peter M. Bentler 16k citations
- 2 Francisco Herrera 6.5k citations
- 3 Witold Pedrycz 5.4k citations
- 4 Peng Shi 5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Multi-Criteria Decision Making research done?
The largest centres of Multi-Criteria Decision Making research in 2022–2025 are Istanbul (Türkiye), Beijing (China), Chengdu (China) and Tehran (Iran). Among places with at least 20 works in it, it is an unusually large share of all research in Medinīpur, Lahore and Agartala.
Largest cities, 2022–2025
Where it is the local speciality
- MedinīpurIN · 39.9 works44×
- LahorePK · 27.7 works33×
- AgartalaIN · 31.9 works29×
Location quotient: how much more of its research is in Multi-Criteria Decision Making than the world average.
Where is the best place to study Multi-Criteria Decision Making?
Among universities, judged by research, University of the Punjab, Shandong University of Finance and Economics and Riphah International 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of the Punjab Pakistan | 77.0 | 51.3% | 19.5× | 50 | +902.4% |
| 2 | Shandong University of Finance and Economics China | 69.8 | 58.5% | 31.9× | 23 | +284.7% |
| 3 | Riphah International University Pakistan | 69.6 | 60.6% | 32.9× | 40 | — |
| 4 | Vidyasagar University India | 69.2 | 46.6% | 49.2× | 35 | +195.2% |
| 5 | West Pomeranian University of Technology in Szczecin Poland | 67.2 | 42.0% | 41.6× | 30 | +202.2% |
| 6 | Kohat University of Science and Technology Pakistan | 65.4 | 84.6% | 34.4× | 10 | — |
| 7 | Istanbul Technical University Türkiye | 64.8 | 37.5% | 19.2× | 61 | +65.8% |
| 8 | University of Defence Serbia | 64.7 | 70.1% | 116.8× | 15 | — |
| 9 | King Abdulaziz University Saudi Arabia | 64.3 | 39.5% | 7.2× | 35 | +293.7% |
| 10 | Naval Academy Türkiye | 64.2 | 76.4% | 120.9× | 12 | — |
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 Multi-Criteria Decision Making research growing?
Output in 2018–2022 was 35% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Multi-Criteria Decision Making.
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.