Science Explorer Interactive view Map

Supply Chain and Inventory Management

Supply Chain and Inventory Management is a research topic within Management Information Systems. Science Explorer counts 31k research works in it since 1950. 27.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the coordination and information sharing in supply chains, including topics such as inventory management, revenue management, dynamic pricing, demand forecasting, contracting, and risk management. It explores the challenges and strategies for achieving coordination and efficiency in dual-channel supply chains through various contract types and information sharing mechanisms.

  • Supply Chain Coordination
  • Information Sharing
  • Inventory Management
  • Revenue Management
  • Channel Coordination
  • Dynamic Pricing
  • Demand Forecasting
  • Contracting
  • Risk Management
  • Dual-Channel Supply Chains
Research works
31k
fractional, since 1950
In the world top 10%
8.4k
per year above
Top-10% rate
27.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+15%
the tick is no change

Which countries lead Supply Chain and Inventory Management research?

By volume, China and India publish the most (1.7k and 713 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.7k works
  2. 2 India 713 works
  3. 3 United States 646 works
  4. 4 Iran 199 works
  5. 5 Indonesia 148 works
  6. 6 United Kingdom 148 works
  7. 7 Canada 134 works
  8. 8 Germany 127 works
  9. 9 France 114 works
  10. 10 Türkiye 104 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: 42.0%India: 17.7%United States: 16.1%Iran: 4.9%6 others listed: 19.3%42%largest
China1,689 · 42.0%India713 · 17.7%United States646 · 16.1%Iran199 · 4.9%6 others listed775 · 19.3%

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

Which institutions lead Supply Chain and Inventory Management research?

By volume in 2022–2025, Hong Kong Polytechnic University publishes the most Supply Chain and Inventory Management research, followed by University of Science and Technology of China and South China University of Technology.

Who are the leading researchers in Supply Chain and Inventory Management?

The most-cited researchers publishing on Supply Chain and Inventory Management include Witold Pedrycz, Fei–Yue Wang and M. Kaur.

  1. 1 Witold Pedrycz Canada 5.4k citations
  2. 2 Fei–Yue Wang China 4.2k citations
  3. 3 M. Kaur India 4k citations
  4. 4 Kannan Govindan Denmark 2.7k citations

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

Where is Supply Chain and Inventory Management research done?

The largest centres of Supply Chain and Inventory Management research in 2022–2025 are Beijing (China), Shanghai (China), Tehran (Iran) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Meerut.

Largest cities, 2022–2025

  1. 1 Beijing China 219 works
  2. 2 Shanghai China 175 works
  3. 3 Tehran Iran 120 works
  4. 4 Nanjing China 119 works
  5. 5 Guangzhou China 94 works
  6. 6 Chengdu China 80 works
  7. 7 Tianjin China 79 works
  8. 8 Hong Kong China 68 works
  9. 9 Hefei China 66 works
  10. 10 Wuhan China 63 works

Where it is the local speciality

  1. MeerutIN · 21.7 works22×
← less than its size predictsmore →

Location quotient: how much more of its research is in Supply Chain and Inventory Management than the world average.

See Supply Chain and Inventory Management on the map

Where is the best place to study Supply Chain and Inventory Management?

Among universities, judged by research, Hong Kong Polytechnic University, University of Burdwan and Dongbei University of Finance and Economics 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%25%50%75%mean 46.09%fractional works in this node (log) →share in the world top 10% →Hong Kong Polytechnic University: 36, 42.9%University of Burdwan: 12, 62.8%Dongbei University of Finance and Economics: 10, 46.8%Iran University of Science and Technology: 24, 42.3%University of Tehran: 22, 45.8%Sidho-Kanho-Birsha University: 9, 67.0%Shanghai Maritime University: 25, 40.1%Tecnológico de Monterrey: 10, 51.3%Graphic Era University: 16, 20.6%Tianjin University of Finance and Economics: 12, 41.3%University of BurdwanDongbei University o…Hong Kong Polytechni…Iran University of S…
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 Hong Kong Polytechnic UniversityHong Kong 71.842.9%8.0×36 +32.2%
2 University of BurdwanIndia 70.462.8%28.3×12 +156.5%
3 Dongbei University of Finance and EconomicsChina 65.646.8%33.0×10 +238.8%
4 Iran University of Science and TechnologyIran 65.442.3%17.4×24 +45.6%
5 University of TehranIran 65.045.8%7.1×22 +155.2%
6 Sidho-Kanho-Birsha UniversityIndia 61.067.0%59.8×9
7 Shanghai Maritime UniversityChina 60.340.1%19.6×25 -11.9%
8 Tecnológico de MonterreyMexico 60.151.3%7.6×10 +154.8%
9 Graphic Era UniversityIndia 58.120.6%9.2×16 +231.5%
10 Tianjin University of Finance and EconomicsChina 56.741.3%72.6×12 +66.9%

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 Supply Chain and Inventory Management research growing?

Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Supply Chain and Inventory Management.

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.