Scientific Innovation and Industrial Efficiency
Scientific Innovation and Industrial Efficiency is a research topic within General Decision Sciences. Science Explorer counts 1.6k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of interdisciplinary studies in science, technology, and society, including topics such as the philosophy of technology, leadership style and innovation ability, modeling of information systems, feminist theories, and the impact of new technology on labor productivity. It also delves into literature, ethics, education, and the historical perspectives of economics and sociology.
- Technology
- Innovation
- Social Sciences
- Economics
- Education
- Leadership
- Modeling
- Literature
- Ethics
- Sociology
- Research works
- 1.6k fractional, since 1950
- In the world top 10%
- 159 per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -4% the tick is no change
- Largest producer
Russia
25% of the 10 largest, 2022-now
Which countries lead Scientific Innovation and Industrial Efficiency research?
By volume, Russia and the United States publish the most (26 and 24 works in 2022-now).
By volume, 2022-now
- 1
Russia
26 works
- 2
United States
24 works
- 3
China
20 works
- 4
United Kingdom
11 works
- 5
Ukraine
6 works
- 6
India
4 works
- 7
Canada
3 works
- 8
Türkiye
2 works
- 9
Brazil
2 works
- 10
Australia
2 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Scientific Innovation and Industrial Efficiency research?
By volume in 2022-now, Russian Academy of Sciences publishes the most Scientific Innovation and Industrial Efficiency research, followed by Institute of World Civilizations and Weatherford College.
By volume, 2022-now
- 1
Russian Academy of SciencesRussia
4 works
- 2
Institute of World CivilizationsRussia
2 works
- 3
Weatherford CollegeUnited States
2 works
- 4
Ural Federal UniversityRussia
2 works
- 5
Moscow State Institute of International RelationsRussia
2 works
- 6
Donetsk National Technical UniversityUkraine
1 works
- 7
State University "Kyiv Aviation Institute"Ukraine
1 works
- 8
Baikal State UniversityRussia
1 works
- 9
University of St AndrewsUnited Kingdom
1 works
- 10
D.Y. Patil UniversityIndia
1 works
Where is Scientific Innovation and Industrial Efficiency research done?
The largest centres of Scientific Innovation and Industrial Efficiency research in 2022-now are Moscow (Russia), Yekaterinburg (Russia), Weatherford (United States) and Beijing (China).
Largest cities, 2022-now
- 1
MoscowRussia
14 works
- 2
YekaterinburgRussia
3 works
- 3
WeatherfordUnited States
2 works
- 4
BeijingChina
2 works
- 5
KyivUkraine
2 works
- 6
WuhanChina
2 works
- 7
NanjingChina
2 works
- 8
LondonUnited Kingdom
2 works
- 9
KharkivUkraine
2 works
- 10
IrkutskRussia
2 works
Is Scientific Innovation and Industrial Efficiency research growing?
Output in 2022-2025 was 4% lower than in 2018-2021, peaking in 2008.
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 Scientific Innovation and Industrial Efficiency as a percentage of every work published that year, 0.00037% in 2024.
Fractional works of Scientific Innovation and Industrial Efficiency 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.
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.
Discussion
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