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Topic · Catalysis

Catalysts for Methane Reforming

Catalysts for Methane Reforming is a research topic within Catalysis. Science Explorer counts 30k research works in it since 1950. 18.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the catalytic conversion of carbon dioxide into renewable fuels and chemicals, including hydrogenation processes, methanol synthesis, and Fischer-Tropsch catalyst development. It also covers topics such as dry reforming, syngas production, and the utilization of CO2 for sustainable fuel and chemical production.

  • Catalytic
  • Hydrogenation
  • Carbon Dioxide
  • Renewable Fuels
  • Methanol Synthesis
  • Fischer-Tropsch Catalysts
  • CO2 Conversion
  • Renewable Hydrogen
  • Dry Reforming
  • Syngas Production
Research works
30k
fractional, since 1950
In the world top 10%
5.5k
per year above
Top-10% rate
18.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+29%
the tick is no change

Which countries lead Catalysts for Methane Reforming research?

By volume, China and the United States publish the most (2.6k and 476 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.6k works
  2. 2 United States 476 works
  3. 3 India 301 works
  4. 4 Germany 289 works
  5. 5 Russia 278 works
  6. 6 South Korea 232 works
  7. 7 Spain 210 works
  8. 8 Japan 200 works
  9. 9 Iran 190 works
  10. 10 Italy 179 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: 52.5%United States: 9.6%India: 6.1%Germany: 5.8%6 others listed: 26.0%52%largest
China2,600 · 52.5%United States476 · 9.6%India301 · 6.1%Germany289 · 5.8%6 others listed1,289 · 26.0%

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

Which institutions lead Catalysts for Methane Reforming research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Catalysts for Methane Reforming research, followed by Taiyuan University of Technology and Tianjin University.

Who are the leading researchers in Catalysts for Methane Reforming?

The most-cited researchers publishing on Catalysts for Methane Reforming include İbrahim Dinçer, Thomas F. Jaramillo and Avelino Corma.

  1. 1 İbrahim Dinçer Canada 5.9k citations
  2. 2 Thomas F. Jaramillo United States 5.5k citations
  3. 3 Avelino Corma Spain 4.4k citations
  4. 4 Alexander A. Balandin United States 3.8k citations
  5. 5 Ib Chorkendorff Denmark 3.7k citations
  6. 6 Shaobin Wang Australia 3.5k citations

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

Where is Catalysts for Methane Reforming research done?

The largest centres of Catalysts for Methane Reforming research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Tianjin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yinchuan and Dhahran.

Largest cities, 2022–2025

  1. 1 Beijing China 469 works
  2. 2 Shanghai China 195 works
  3. 3 Nanjing China 140 works
  4. 4 Tianjin China 125 works
  5. 5 Taiyuan China 123 works
  6. 6 Xi'an China 117 works
  7. 7 Moscow Russia 114 works
  8. 8 Hangzhou China 110 works
  9. 9 Dalian China 108 works
  10. 10 Seoul South Korea 96 works

Where it is the local speciality

  1. YinchuanCN · 37.3 works11×
  2. DhahranSA · 34.3 works11×
← less than its size predictsmore →

Location quotient: how much more of its research is in Catalysts for Methane Reforming than the world average.

See Catalysts for Methane Reforming on the map

Where is the best place to study Catalysts for Methane Reforming?

Among universities, judged by research, King Fahd University of Petroleum and Minerals, King Abdullah University of Science and Technology and Ningxia 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 18.91%fractional works in this node (log) →share in the world top 10% →King Fahd University of Petroleum and Minerals: 26, 23.3%King Abdullah University of Science and Technology: 16, 23.6%Ningxia University: 34, 12.5%University of the Basque Country: 28, 22.2%Taiyuan University of Technology: 68, 14.2%Qatar University: 15, 17.0%Iran University of Science and Technology: 20, 14.3%Samara State Technical University: 8, 24.4%Institute of Chemical Technology: 15, 12.9%Xi'an Jiaotong University: 60, 24.7%King Abdullah Univer…King Fahd University…University of the Ba…Ningxia 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 King Fahd University of Petroleum and MineralsSaudi Arabia 74.223.3%11.2×26 +282.4%
2 King Abdullah University of Science and TechnologySaudi Arabia 69.123.6%8.6×16 +342.5%
3 Ningxia UniversityChina 62.612.5%25.5×34 +318.9%
4 University of the Basque CountrySpain 61.522.2%9.3×28 +82.0%
5 Taiyuan University of TechnologyChina 59.914.2%24.0×68 +37.0%
6 Qatar UniversityQatar 59.717.0%7.6×15 +227.4%
7 Iran University of Science and TechnologyIran 59.314.3%10.9×20 +171.4%
8 Samara State Technical UniversityRussia 58.524.4%16.0×8 +560.8%
9 Institute of Chemical TechnologyIndia 56.412.9%23.6×15 +215.4%
10 Xi'an Jiaotong UniversityChina 56.024.7%5.5×60 +52.1%

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 Catalysts for Methane Reforming research growing?

Output in 2018–2022 was 29% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Catalysts for Methane Reforming.

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.