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Discourse Analysis and Cultural Communication

Discourse Analysis and Cultural Communication is a research topic within Cultural Studies. Science Explorer counts 22k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on discourse analysis, cultural communication patterns, and language use in the context of the pandemic. It explores topics such as media representation, persuasion strategies, linguistic aspects of pandemics, and the impact of social media on language and culture.

  • Discourse Analysis
  • Cultural Communication
  • Language
  • Media
  • Pandemic
  • Linguistics
  • Persuasion Strategies
  • Social Media
  • Phraseology
  • Coronavirus
Research works
22k
fractional, since 1950
In the world top 10%
2.2k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+317%
the tick is no change

Which countries lead Discourse Analysis and Cultural Communication research?

By volume, Russia and Ukraine publish the most (4.6k and 808 works in 2022–2025).

By volume, 2022–2025

  1. 1 Russia 4.6k works
  2. 2 Ukraine 808 works
  3. 3 United States 383 works
  4. 4 Uzbekistan 268 works
  5. 5 China 202 works
  6. 6 Kazakhstan 154 works
  7. 7 Tajikistan 123 works
  8. 8 Poland 109 works
  9. 9 Indonesia 90 works
  10. 10 Belarus 82 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.

Russia: 67.4%Ukraine: 11.9%United States: 5.6%Uzbekistan: 3.9%6 others listed: 11.2%67%largest
Russia4,588 · 67.4%Ukraine808 · 11.9%United States383 · 5.6%Uzbekistan268 · 3.9%6 others listed760 · 11.2%

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

Which institutions lead Discourse Analysis and Cultural Communication research?

By volume in 2022–2025, Lomonosov Moscow State University publishes the most Discourse Analysis and Cultural Communication research, followed by Weatherford College and Kazan Federal University.

By volume, 2022–2025

  1. 1 Lomonosov Moscow State University Russia 156 works
  2. 2 Weatherford College United States 150 works
  3. 3 Kazan Federal University Russia 131 works
  4. 4 St Petersburg University Russia 123 works
  5. 5 Moscow State University Tajikistan 121 works
  6. 6 Moscow State Pedagogical University Russia 121 works
  7. 7 Russian Academy of Sciences Russia 118 works
  8. 8 Peoples' Friendship University of Russia Russia 102 works
  9. 9 Moscow State Institute of International Relations Russia 92 works
  10. 10 Moscow State Linguistic University Russia 74 works

Where is Discourse Analysis and Cultural Communication research done?

The largest centres of Discourse Analysis and Cultural Communication research in 2022–2025 are Moscow (Russia), Saint Petersburg (Russia), Kyiv (Ukraine) and Kazan’ (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Dolinsk, Kostroma and Maykop.

Largest cities, 2022–2025

  1. 1 Moscow Russia 1.5k works
  2. 2 Saint Petersburg Russia 410 works
  3. 3 Kyiv Ukraine 218 works
  4. 4 Kazan’ Russia 171 works
  5. 5 Weatherford United States 150 works
  6. 6 Dushanbe Tajikistan 123 works
  7. 7 Tashkent Uzbekistan 120 works
  8. 8 Novosibirsk Russia 116 works
  9. 9 Samara Russia 113 works
  10. 10 Yekaterinburg Russia 104 works

Where it is the local speciality

  1. DolinskRU · 20.5 works210×
  2. KostromaRU · 31.3 works135×
  3. MaykopRU · 30.4 works116×
  4. SaranskRU · 58.1 works101×
← less than its size predictsmore →

Location quotient: how much more of its research is in Discourse Analysis and Cultural Communication than the world average.

See Discourse Analysis and Cultural Communication on the map

Where is the best place to study Discourse Analysis and Cultural Communication?

Among universities, judged by research, Moscow State University, Lomonosov Moscow State University and Kazan Federal 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%mean 13.27%fractional works in this node (log) →share in the world top 10% →Moscow State University: 121, 10.0%Lomonosov Moscow State University: 156, 10.3%Kazan Federal University: 131, 12.4%Ural Federal University: 61, 13.8%Novosibirsk State University: 16, 23.5%St Petersburg University: 123, 8.9%Moscow State Pedagogical University: 121, 9.6%Weatherford College: 150, 10.6%Peoples' Friendship University of Russia: 102, 17.9%Kemerovo State University: 40, 15.7%Ural Federal Univers…Kazan Federal Univer…Lomonosov Moscow Sta…Moscow State 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
1Moscow State University Tajikistan 78.110.0%60.3×121 +790.4%
2Lomonosov Moscow State University Russia 74.010.3%24.5×156 +775.2%
3Kazan Federal University Russia 72.412.4%64.6×131 +4572.1%
4Ural Federal University Russia 69.213.8%28.0×61 +707.6%
5Novosibirsk State University Russia 69.123.5%15.4×16 +979.6%
6St Petersburg University Russia 68.58.9%34.4×123 +1040.9%
7Moscow State Pedagogical University Russia 68.19.6%164.6×121 +524.6%
8Weatherford College United States 67.610.6%14.9×150 +136.6%
9Peoples' Friendship University of Russia Russia 66.617.9%42.8×102 +32.6%
10Kemerovo State University Russia 66.615.7%63.9×40 +246.5%

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 Discourse Analysis and Cultural Communication research growing?

Output in 2018–2022 was 317% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Discourse Analysis and Cultural Communication.

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.