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Discourse Analysis in Language Studies

Discourse Analysis in Language Studies is a research topic within Literature and Literary Theory. Science Explorer counts 33k research works in it since 1950. 34.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on discourse analysis in academic writing, with a particular emphasis on critical discourse, corpus linguistics, metadiscourse, genre pedagogy, and multimodality. It explores the language and social interactions within academic and media discourses, including the use of lexical bundles and rhetorical structures to convey specific meanings and ideologies.

  • Discourse Analysis
  • Academic Writing
  • Critical Discourse
  • Corpus Linguistics
  • Metadiscourse
  • Genre Pedagogy
  • Multimodality
  • Lexical Bundles
  • Social Interaction
  • Rhetorical Structure
Research works
33k
fractional, since 1950
In the world top 10%
12k
per year above
Top-10% rate
34.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+28%
the tick is no change

Which countries lead Discourse Analysis in Language Studies research?

By volume, the United States and China publish the most (963 and 810 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 963 works
  2. 2 China 810 works
  3. 3 Indonesia 497 works
  4. 4 Brazil 345 works
  5. 5 United Kingdom 310 works
  6. 6 Spain 186 works
  7. 7 Pakistan 173 works
  8. 8 Iraq 170 works
  9. 9 Russia 156 works
  10. 10 Australia 146 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.

United States: 25.6%China: 21.6%Indonesia: 13.2%Brazil: 9.2%6 others listed: 30.4%26%largest
United States963 · 25.6%China810 · 21.6%Indonesia497 · 13.2%Brazil345 · 9.2%6 others listed1,142 · 30.4%

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

Which institutions lead Discourse Analysis in Language Studies research?

By volume in 2022–2025, Hong Kong Polytechnic University publishes the most Discourse Analysis in Language Studies research, followed by Xi'an International Studies University and Guangdong University of Foreign Studies.

Who are the leading researchers in Discourse Analysis in Language Studies?

The most-cited researchers publishing on Discourse Analysis in Language Studies include Emanuel A. Schegloff and Teun A. van Dijk.

  1. 1 Emanuel A. Schegloff United States 3.9k citations
  2. 2 Teun A. van Dijk Spain 2.5k citations

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

Where is Discourse Analysis in Language Studies research done?

The largest centres of Discourse Analysis in Language Studies research in 2022–2025 are Beijing (China), Guangzhou (China), Shanghai (China) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Lancaster and Erbil.

Largest cities, 2022–2025

  1. 1 Beijing China 132 works
  2. 2 Guangzhou China 74 works
  3. 3 Shanghai China 70 works
  4. 4 Moscow Russia 70 works
  5. 5 Hong Kong China 69 works
  6. 6 London United Kingdom 56 works
  7. 7 Bandung Indonesia 53 works
  8. 8 Xi'an China 46 works
  9. 9 Medan Indonesia 46 works
  10. 10 Yogyakarta Indonesia 46 works

Where it is the local speciality

  1. LancasterGB · 22.5 works13×
  2. ErbilIQ · 26.7 works9.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Discourse Analysis in Language Studies than the world average.

See Discourse Analysis in Language Studies on the map

Where is the best place to study Discourse Analysis in Language Studies?

Among universities, judged by research, Hong Kong Polytechnic University, University of Macau and University of Cape Coast 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%25%50%75%mean 54.73%fractional works in this node (log) →share in the world top 10% →Hong Kong Polytechnic University: 40, 58.0%University of Macau: 14, 52.2%University of Cape Coast: 8, 60.5%Universitat Jaume I: 13, 57.9%Prince Sattam Bin Abdulaziz University: 15, 48.1%University of International Business and Economics: 12, 61.2%University of Helsinki: 20, 52.7%Northern Arizona University: 12, 58.2%Lancaster University: 22, 36.7%Education University of Hong Kong: 9, 61.8%University of Cape C…Hong Kong Polytechni…Universitat Jaume IUniversity of Macau
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 Hong Kong Polytechnic UniversityHong Kong 81.358.0%7.1×40 +78.7%
2 University of MacauMacau 71.452.2%6.6×14 +535.8%
3 University of Cape CoastGhana 70.560.5%9.3×8 +301.1%
4 Universitat Jaume ISpain 68.757.9%12.9×13 +76.5%
5 Prince Sattam Bin Abdulaziz UniversitySaudi Arabia 66.548.1%8.7×15
6 University of International Business and EconomicsChina 63.761.2%19.2×12 -21.6%
7 University of HelsinkiFinland 63.352.7%5.4×20 +110.3%
8 Northern Arizona UniversityUnited States 63.358.2%18.1×12 +1.4%
9 Lancaster UniversityUnited Kingdom 62.436.7%12.8×22 +5.8%
10 Education University of Hong KongHong Kong 62.461.8%9.2×9 +5.1%

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 Discourse Analysis in Language Studies research growing?

Output in 2018–2022 was 28% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Discourse Analysis in Language Studies.

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.