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Crystal Structures and Properties

Crystal Structures and Properties is a research topic within Electronic, Optical and Magnetic Materials. Science Explorer counts 30k research works in it since 1950. 9.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advancements in the research of nonlinear optical materials, particularly in the domain of crystallographic computing, deep-ultraviolet materials, second harmonic generation, inorganic crystal structures, chalcogenide clusters, bond valence model, fluorooxoborates, metal chalcogenides, and crystal growth.

  • Nonlinear Optical Materials
  • Crystallographic Computing
  • Deep-Ultraviolet Materials
  • Second Harmonic Generation
  • Inorganic Crystal Structures
  • Chalcogenide Clusters
  • Bond Valence Model
  • Fluorooxoborates
  • Metal Chalcogenides
  • Crystal Growth
Research works
30k
fractional, since 1950
In the world top 10%
2.8k
per year above
Top-10% rate
9.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-6%
the tick is no change

Which countries lead Crystal Structures and Properties research?

By volume, China and Russia publish the most (898 and 404 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 898 works
  2. 2 Russia 404 works
  3. 3 United States 236 works
  4. 4 India 183 works
  5. 5 Germany 141 works
  6. 6 Japan 97 works
  7. 7 France 90 works
  8. 8 Italy 54 works
  9. 9 United Kingdom 48 works
  10. 10 Poland 42 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: 41.0%Russia: 18.4%United States: 10.8%India: 8.3%6 others listed: 21.5%41%largest
China898 · 41.0%Russia404 · 18.4%United States236 · 10.8%India183 · 8.3%6 others listed472 · 21.5%

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

Which institutions lead Crystal Structures and Properties research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Crystal Structures and Properties research, followed by University of Chinese Academy of Sciences and Fujian Institute of Research on the Structure of Matter.

Who are the leading researchers in Crystal Structures and Properties?

The most-cited researchers publishing on Crystal Structures and Properties include R. D. Shannon, John B. Goodenough and Koichi Momma.

  1. 1 R. D. Shannon United States 12k citations
  2. 2 John B. Goodenough United States 6.2k citations
  3. 3 Koichi Momma Japan 5.3k citations
  4. 4 David J. Singh United States 5.1k citations
  5. 5 Jean‐Marie Tarascon France 4.9k citations
  6. 6 Avelino Corma Spain 4.4k citations
  7. 7 Mercouri G. Kanatzidis United States 4.3k citations
  8. 8 C. N. R. Rao India 3.9k citations

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

Where is Crystal Structures and Properties research done?

The largest centres of Crystal Structures and Properties research in 2022–2025 are Beijing (China), Moscow (Russia), Fuzhou (China) and Ürümqi (China). Among places with at least 20 works in it, it is an unusually large share of all research in Apatity, Ürümqi and Yangzhou.

Largest cities, 2022–2025

  1. 1 Beijing China 240 works
  2. 2 Moscow Russia 141 works
  3. 3 Fuzhou China 67 works
  4. 4 Ürümqi China 66 works
  5. 5 Saint Petersburg Russia 53 works
  6. 6 Chengdu China 50 works
  7. 7 Novosibirsk Russia 47 works
  8. 8 Tianjin China 45 works
  9. 9 Yangzhou China 30 works
  10. 10 Shanghai China 27 works

Where it is the local speciality

  1. ApatityRU · 22.5 works159×
  2. ÜrümqiCN · 66.1 works23×
  3. YangzhouCN · 30.5 works17×
  4. NovosibirskRU · 46.9 works14×
  5. FuzhouCN · 67.4 works12×
← less than its size predictsmore →

Location quotient: how much more of its research is in Crystal Structures and Properties than the world average.

See Crystal Structures and Properties on the map

Where is the best place to study Crystal Structures and Properties?

Among universities, judged by research, University of Chinese Academy of Sciences, Sogang University and Yangzhou 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%10%20%30%mean 13.18%fractional works in this node (log) →share in the world top 10% →University of Chinese Academy of Sciences: 70, 23.4%Sogang University: 16, 26.9%Yangzhou University: 29, 21.0%Hebei University: 17, 14.1%Tianjin University of Technology: 36, 15.5%Lomonosov Moscow State University: 41, 1.4%Sichuan Normal University: 11, 16.2%Xinjiang University: 16, 2.6%University of Sfax: 12, 8.8%St Petersburg University: 29, 1.9%Sogang UniversityUniversity of Chines…Yangzhou UniversityHebei 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
1 University of Chinese Academy of SciencesChina 75.923.4%15.5×70 +68.7%
2 Sogang UniversitySouth Korea 67.426.9%70.8×16 +85.9%
3 Yangzhou UniversityChina 64.021.0%19.3×29
4 Hebei UniversityChina 60.514.1%27.2×17 +279.7%
5 Tianjin University of TechnologyChina 59.215.5%48.5×36
6 Lomonosov Moscow State UniversityRussia 51.41.4%17.6×41 +13.0%
7 Sichuan Normal UniversityChina 49.916.2%33.1×11
8 Xinjiang UniversityChina 48.22.6%13.6×16 +197.0%
9 University of SfaxTunisia 47.18.8%16.9×12 +11.1%
10 St Petersburg UniversityRussia 45.51.9%22.3×29 +46.0%

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 Crystal Structures and Properties research growing?

Output in 2018–2022 was 6% lower than in 2013–2017, peaking in 2006.

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.