Science Explorer Interactive view Map

Advanced Materials Characterization Techniques

Advanced Materials Characterization Techniques is a research topic within Biomedical Engineering. Science Explorer counts 24k research works in it since 1950. 14.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advancements in atom probe tomography, a technique for three-dimensional nanoscale characterization of materials. The research covers topics such as specimen preparation, field evaporation behavior, spatial resolution, crystallographic mapping, and the application of correlative microscopy in materials science.

  • Atom Probe Tomography
  • Three-Dimensional Analysis
  • Nanoscale Characterization
  • Specimen Preparation
  • Field Evaporation Behavior
  • Quantitative Analysis
  • Spatial Resolution
  • Crystallographic Mapping
  • Correlative Microscopy
  • Materials Science
Research works
24k
fractional, since 1950
In the world top 10%
3.4k
per year above
Top-10% rate
14.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-1%
the tick is no change

Which countries lead Advanced Materials Characterization Techniques research?

By volume, China and the United States publish the most (518 and 383 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 518 works
  2. 2 United States 383 works
  3. 3 Russia 189 works
  4. 4 Germany 145 works
  5. 5 Japan 114 works
  6. 6 France 107 works
  7. 7 United Kingdom 72 works
  8. 8 India 70 works
  9. 9 South Korea 39 works
  10. 10 Australia 36 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: 30.9%United States: 22.9%Russia: 11.3%Germany: 8.6%6 others listed: 26.2%31%largest
China518 · 30.9%United States383 · 22.9%Russia189 · 11.3%Germany145 · 8.6%6 others listed439 · 26.2%

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

Which institutions lead Advanced Materials Characterization Techniques research?

By volume in 2022–2025, University of Science and Technology Beijing publishes the most Advanced Materials Characterization Techniques research, followed by Chinese Academy of Sciences and Max-Planck-Institut für Nachhaltige Materialien.

Who are the leading researchers in Advanced Materials Characterization Techniques?

The most-cited researchers publishing on Advanced Materials Characterization Techniques include Jens K. Nørskov, Yury Gogotsi and Alex Zunger.

  1. 1 Jens K. Nørskov Denmark 9.8k citations
  2. 2 Yury Gogotsi United States 5.1k citations
  3. 3 Alex Zunger United States 4.7k citations
  4. 4 Dierk Raabe Germany 4.5k citations
  5. 5 R. J. Wilson United States 4.2k citations

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

Where is Advanced Materials Characterization Techniques research done?

The largest centres of Advanced Materials Characterization Techniques research in 2022–2025 are Beijing (China), Moscow (Russia), Xi'an (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Düsseldorf.

Largest cities, 2022–2025

  1. 1 Beijing China 128 works
  2. 2 Moscow Russia 60 works
  3. 3 Xi'an China 38 works
  4. 4 Shanghai China 36 works
  5. 5 Tokyo Japan 32 works
  6. 6 Changsha China 28 works
  7. 7 Paris France 27 works
  8. 8 London United Kingdom 22 works
  9. 9 Saint Petersburg Russia 21 works
  10. 10 Düsseldorf Germany 21 works

Where it is the local speciality

  1. DüsseldorfDE · 20.7 works20×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced Materials Characterization Techniques than the world average.

See Advanced Materials Characterization Techniques on the map

Where is the best place to study Advanced Materials Characterization Techniques?

Among universities, judged by research, University of Science and Technology Beijing, Ruhr University Bochum and University of Science and Technology of China 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%10%20%30%mean 17.62%fractional works in this node (log) →share in the world top 10% →University of Science and Technology Beijing: 28, 25.6%Ruhr University Bochum: 9, 24.3%University of Science and Technology of China: 11, 28.0%Northwestern Polytechnical University: 14, 23.9%Imperial College London: 12, 12.5%Friedrich-Alexander-Universität Erlangen-Nürnberg: 11, 6.9%Tohoku University: 12, 7.9%Central South University: 18, 15.1%Zhejiang University: 9, 24.4%RWTH Aachen University: 9, 7.6%University of Scienc…University of Scienc…Ruhr University BochumNorthwestern Polytec…
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 University of Science and Technology BeijingChina 76.925.6%17.7×28 +5.9%
2 Ruhr University BochumGermany 65.724.3%11.7×9 +110.9%
3 University of Science and Technology of ChinaChina 57.428.0%4.8×11 +138.4%
4 Northwestern Polytechnical UniversityChina 56.123.9%6.3×14 +53.4%
5 Imperial College LondonUnited Kingdom 49.112.5%6.9×12 +64.8%
6 Friedrich-Alexander-Universität Erlangen-NürnbergGermany 48.76.9%12.4×11 +69.1%
7 Tohoku UniversityJapan 46.57.9%9.7×12 +21.9%
8 Central South UniversityChina 44.115.1%5.4×18 -1.8%
9 Zhejiang UniversityChina 43.524.4%2.4×9 +141.9%
10 RWTH Aachen UniversityGermany 42.17.6%6.5×9 +283.0%

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 Advanced Materials Characterization Techniques research growing?

Output in 2018–2022 was 1% lower than in 2013–2017, peaking in 2012.

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.