Engineering Diagnostics and Reliability
Engineering Diagnostics and Reliability is a research topic within Mechanics of Materials. Science Explorer counts 27k 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 focuses on materials engineering in industrial applications, particularly in the fields of corrosion, steel strength, pipeline durability, deformation processes, and industrial safety. It addresses issues such as fatigue, electrochemical parameters, friction welding, and heat resistance in various mechanical components and equipment used in oil and gas, power generation, and other industrial sectors.
- Corrosion
- Steel
- Pipeline
- Deformation
- Industrial Safety
- Fatigue
- Electrochemical Parameters
- Friction Welding
- Heat Resistance
- Machine Mechanics
- Research works
- 27k fractional, since 1950
- In the world top 10%
- 2.7k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -1% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
Which countries lead Engineering Diagnostics and Reliability research?
By volume, China and Russia publish the most (2.2k and 2k works in 2022-now).
By volume, 2022-now
- 1
China 2.2k works
- 2
Russia 2k works
- 3
Ukraine 529 works
- 4
United States 328 works
- 5
India 207 works
- 6
Uzbekistan 113 works
- 7
Indonesia 110 works
- 8
Poland 100 works
- 9
Kazakhstan 95 works
- 10
Azerbaijan 90 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 Engineering Diagnostics and Reliability research?
By volume in 2022-now, Russian Academy of Sciences publishes the most Engineering Diagnostics and Reliability research, followed by National Academy of Sciences of Ukraine and Ufa State Petroleum Technological University.
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 176 works
- 2
National Academy of Sciences of Ukraine
Ukraine 82 works
- 3
Ufa State Petroleum Technological University
Russia 67 works
- 4
Azerbaijan State Oil and Industry University
Azerbaijan 53 works
- 5
Bauman Moscow State Technical University
Russia 47 works
- 6
Moscow Power Engineering Institute
Russia 45 works
- 7
Weatherford College
United States 43 works
- 8
Xi'an Jiaotong University
China 40 works
- 9
Moscow Aviation Institute
Russia 37 works
- 10
Moscow State University of Civil Engineering
Russia 35 works
Who are the leading researchers in Engineering Diagnostics and Reliability?
The most-cited researchers publishing on Engineering Diagnostics and Reliability include Cyrus Cooper, Xiaogang Wang and Kai You Wang.
- 1
Cyrus Cooper
United Kingdom 342k citations
- 2
Xiaogang Wang
China 260k citations
- 3
Kai You Wang
China 224k citations
- 4
Frede Blaabjerg
Denmark 203k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Engineering Diagnostics and Reliability research done?
The largest centres of Engineering Diagnostics and Reliability research in 2022-now are Moscow (Russia), Beijing (China), Saint Petersburg (Russia) and Kyiv (Ukraine). Among places with at least 20 works in it, it is an unusually large share of all research in Komsomol'skiy, Astrakhan and Ufa.
Largest cities, 2022-now
Where it is the local speciality
- Komsomol'skiyRU · 23.6 works57×
- AstrakhanRU · 25.3 works49×
- UfaRU · 93.1 works37×
- OmskRU · 34.9 works30×
Location quotient: how much more of its research is in Engineering Diagnostics and Reliability than the world average.
Where is the best place to study Engineering Diagnostics and Reliability?
Among universities, judged by research, Xi'an Jiaotong University, Yanshan University and Chongqing 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Engineering Diagnostics and Reliability, country by countryIs Engineering Diagnostics and Reliability research growing?
Output in 2022-2025 was 1% lower than in 2018-2021, peaking in 2021.
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 Engineering Diagnostics and Reliability as a percentage of every work published that year, 0.035% in 2024.
Fractional works of Engineering Diagnostics and Reliability 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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