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Topic · Management Science and Operations Research

Innovation Diffusion and Forecasting

Innovation Diffusion and Forecasting is a research topic within Management Science and Operations Research. Science Explorer counts 17k research works in it since 1951. 27.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the models, dynamics, and factors influencing the diffusion of technology and innovation across different markets and countries. It explores concepts such as innovation diffusion, agent-based modeling, market penetration, global technology spillover, forecasting models like S-curves and long-wave theory, and the impact of technological paradigms on adoption.

  • Innovation Diffusion
  • Agent-Based Modeling
  • New Product Growth
  • Market Penetration
  • Global Technology Spillover
  • Forecasting Models
  • S-Curves
  • Long-Wave Theory
  • Mobile Telephony
  • Technological Paradigms
Research works
17k
fractional, since 1951
In the world top 10%
4.6k
per year above
Top-10% rate
27.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+13%
the tick is no change

Which countries lead Innovation Diffusion and Forecasting research?

By volume, China and the United States publish the most (1.2k and 414 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 United States 414 works
  3. 3 India 196 works
  4. 4 United Kingdom 130 works
  5. 5 Germany 126 works
  6. 6 Russia 112 works
  7. 7 Italy 95 works
  8. 8 South Korea 93 works
  9. 9 Indonesia 86 works
  10. 10 Japan 69 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: 46.8%United States: 16.7%India: 7.9%United Kingdom: 5.2%6 others listed: 23.4%47%largest
China1,161 · 46.8%United States414 · 16.7%India196 · 7.9%United Kingdom130 · 5.2%6 others listed582 · 23.4%

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

Which institutions lead Innovation Diffusion and Forecasting research?

By volume in 2022–2025, Wuhan University publishes the most Innovation Diffusion and Forecasting research, followed by Wuhan University of Technology and Shanghai University.

By volume, 2022–2025

  1. 1 Wuhan University China 16 works
  2. 2 Wuhan University of Technology China 14 works
  3. 3 Shanghai University China 13 works
  4. 4 Tianjin University China 12 works
  5. 5 Xiamen University China 11 works
  6. 6 Shanghai Jiao Tong University China 11 works
  7. 7 Jiangsu University China 11 works
  8. 8 Tsinghua University China 11 works
  9. 9 Beijing Jiaotong University China 11 works
  10. 10 Sichuan University China 10 works

Who are the leading researchers in Innovation Diffusion and Forecasting?

The most-cited researchers publishing on Innovation Diffusion and Forecasting include H. Eugene Stanley.

  1. 1 H. Eugene Stanley 5.5k citations

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

Where is Innovation Diffusion and Forecasting research done?

The largest centres of Innovation Diffusion and Forecasting research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Tianjin and Wuhan.

Largest cities, 2022–2025

  1. 1 Beijing China 173 works
  2. 2 Shanghai China 99 works
  3. 3 Wuhan China 68 works
  4. 4 Nanjing China 67 works
  5. 5 Guangzhou China 56 works
  6. 6 Seoul South Korea 50 works
  7. 7 Moscow Russia 50 works
  8. 8 Xi'an China 50 works
  9. 9 Tianjin China 42 works
  10. 10 Hangzhou China 40 works

Where it is the local speciality

  1. TianjinCN · 41.9 works2.6×
  2. WuhanCN · 67.8 works2.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Innovation Diffusion and Forecasting than the world average.

See Innovation Diffusion and Forecasting on the map

Where is the best place to study Innovation Diffusion and Forecasting?

Among universities, judged by research, Tianjin University, Zhejiang University of Finance and Economics and Wuhan 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.

0%20%40%60%mean 45.17%fractional works in this node (log) →share in the world top 10% →Tianjin University: 12, 53.7%Zhejiang University of Finance and Economics: 8, 41.4%Wuhan University: 16, 49.9%Harbin Engineering University: 9, 53.6%Jiangsu University: 11, 47.2%South China University of Technology: 10, 44.8%Central University of Finance and Economics: 9, 33.3%Renmin University of China: 8, 44.2%Wuhan University of Technology: 14, 37.5%Nanjing University: 10, 46.1%Tianjin UniversityHarbin Engineering U…Wuhan UniversityZhejiang University …
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
1Tianjin University China 58.253.7%2.8×12 +6.6%
2Zhejiang University of Finance and Economics China 55.441.4%31.2×8 +9.0%
3Wuhan University China 53.449.9%3.7×16 -46.4%
4Harbin Engineering University China 45.853.6%5.1×9 -31.0%
5Jiangsu University China 45.747.2%4.2×11 -33.2%
6South China University of Technology China 44.744.8%2.5×10 +18.7%
7Central University of Finance and Economics China 40.333.3%22.3×9 -42.9%
8Renmin University of China China 40.344.2%7.1×8 -45.1%
9Wuhan University of Technology China 40.037.5%5.0×14 -68.2%
10Nanjing University China 39.546.1%3.6×10 -37.3%

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 Innovation Diffusion and Forecasting research growing?

Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Innovation Diffusion and Forecasting.

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.