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nanoparticles nucleation surface interactions

nanoparticles nucleation surface interactions is a research topic within Atmospheric Science. Science Explorer counts 43k research works in it since 1950. 16.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the phenomena of ice nucleation and melting, particularly in relation to nanoparticles, molecular dynamics simulations, surface energy, and size dependence. It explores topics such as homogeneous nucleation, crystal growth, and phase diagrams of water models.

  • Ice Nucleation
  • Melting
  • Nanoparticles
  • Molecular Dynamics Simulation
  • Surface Energy
  • Size Dependence
  • Crystal Growth
  • Homogeneous Nucleation
  • Phase Diagrams
  • Water Models
Research works
43k
fractional, since 1950
In the world top 10%
6.9k
per year above
Top-10% rate
16.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-6%
the tick is no change

Which countries lead nanoparticles nucleation surface interactions research?

By volume, China and the United States publish the most (810 and 464 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 810 works
  2. 2 United States 464 works
  3. 3 Russia 395 works
  4. 4 Germany 170 works
  5. 5 Japan 167 works
  6. 6 India 149 works
  7. 7 France 145 works
  8. 8 United Kingdom 110 works
  9. 9 Italy 60 works
  10. 10 South Korea 57 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: 32.0%United States: 18.4%Russia: 15.6%Germany: 6.7%6 others listed: 27.2%32%largest
China810 · 32.0%United States464 · 18.4%Russia395 · 15.6%Germany170 · 6.7%6 others listed688 · 27.2%

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

Which institutions lead nanoparticles nucleation surface interactions research?

By volume in 2022–2025, Xi'an Jiaotong University publishes the most nanoparticles nucleation surface interactions research, followed by Centre National de la Recherche Scientifique and Chinese Academy of Sciences.

Who are the leading researchers in nanoparticles nucleation surface interactions?

The most-cited researchers publishing on nanoparticles nucleation surface interactions include Georg Kresse, Zhong Lin Wang and J. Häfner.

  1. 1 Georg Kresse Austria 24k citations
  2. 2 Zhong Lin Wang United States 11k citations
  3. 3 J. Häfner Austria 11k citations
  4. 4 John P. Perdew United States 9.9k citations
  5. 5 Jens K. Nørskov Denmark 9.8k citations
  6. 6 Kenji Watanabe Japan 6.4k citations
  7. 7 Takashi Taniguchi Japan 6.2k citations
  8. 8 Michele Parrinello Switzerland 5.6k citations
  9. 9 H. Eugene Stanley United States 5.5k citations
  10. 10 David J. Singh United States 5.1k citations

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

Where is nanoparticles nucleation surface interactions research done?

The largest centres of nanoparticles nucleation surface interactions research in 2022–2025 are Beijing (China), Moscow (Russia), Shanghai (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yekaterinburg and Novosibirsk.

Largest cities, 2022–2025

  1. 1 Beijing China 168 works
  2. 2 Moscow Russia 137 works
  3. 3 Shanghai China 62 works
  4. 4 Xi'an China 57 works
  5. 5 Paris France 42 works
  6. 6 Saint Petersburg Russia 42 works
  7. 7 Tokyo Japan 40 works
  8. 8 Novosibirsk Russia 38 works
  9. 9 Yekaterinburg Russia 38 works
  10. 10 Nanjing China 32 works

Where it is the local speciality

  1. YekaterinburgRU · 38.0 works13×
  2. NovosibirskRU · 38.2 works9.9×
← less than its size predictsmore →

Location quotient: how much more of its research is in nanoparticles nucleation surface interactions than the world average.

See nanoparticles nucleation surface interactions on the map

Where is the best place to study nanoparticles nucleation surface interactions?

Among universities, judged by research, Xi'an Jiaotong University, Ural Federal University and China University of Petroleum, East 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%20%40%mean 20.93%fractional works in this node (log) →share in the world top 10% →Xi'an Jiaotong University: 24, 29.8%Ural Federal University: 19, 5.8%China University of Petroleum, East China: 10, 32.3%Tver State University: 12, 12.0%Shanghai Jiao Tong University: 18, 34.4%Tianjin University: 18, 24.1%Hokkaido University: 12, 15.5%North China Electric Power University: 11, 24.4%University of Science and Technology Beijing: 17, 13.6%Northwestern Polytechnical University: 19, 17.4%China University of …Xi'an Jiaotong Unive…Tver State UniversityUral Federal Univers…
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 Xi'an Jiaotong UniversityChina 62.129.8%4.7×24 +32.8%
2 Ural Federal UniversityRussia 59.45.8%20.4×19 +127.9%
3 China University of Petroleum, East ChinaChina 54.932.3%6.7×10
4 Tver State UniversityRussia 51.612.0%159.7×12 +112.4%
5 Shanghai Jiao Tong UniversityChina 51.234.4%2.5×18 -20.1%
6 Tianjin UniversityChina 49.924.1%4.6×18 +10.7%
7 Hokkaido UniversityJapan 49.515.5%9.0×12 +1.1%
8 North China Electric Power UniversityChina 45.324.4%5.0×11 +87.1%
9 University of Science and Technology BeijingChina 45.013.6%6.7×17 +1.9%
10 Northwestern Polytechnical UniversityChina 44.917.4%5.2×19 -27.0%

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 nanoparticles nucleation surface interactions research growing?

Output in 2018–2022 was 6% lower than in 2013–2017, peaking in 2007.

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.