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Topic · Cultural Studies

Diverse multidisciplinary academic research

Diverse multidisciplinary academic research is a research topic within Cultural Studies. Science Explorer counts 5k research works in it since 1956. 11.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the intersection of cultural diversity, globalization, and various global industries such as software, media, entertainment, and tourism. It delves into topics such as innovation policy, knowledge networks, ethnic identity, and environmental activism within the context of globalized industries. The papers also discuss the impact of international relations on cultural diversity and the challenges and opportunities presented by digital culture.

  • Cultural Diversity
  • Globalization
  • Media and Entertainment
  • Software Industry
  • International Relations
  • Innovation Policy
  • Ethnic Identity
  • Digital Culture
  • Knowledge Networks
  • Environmental Activism
Research works
5k
fractional, since 1956
In the world top 10%
571
per year above
Top-10% rate
11.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+14%
the tick is no change

Which countries lead Diverse multidisciplinary academic research research?

By volume, France and ?? publish the most (607 and 58 works in 2022–2025).

By volume, 2022–2025

  1. 1 France 607 works
  2. 2 ?? 58 works
  3. 3 Canada 48 works
  4. 4 United States 34 works
  5. 5 Belgium 28 works
  6. 6 Brazil 19 works
  7. 7 Switzerland 18 works
  8. 8 Italy 13 works
  9. 9 United Kingdom 12 works
  10. 10 Morocco 11 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.

France: 71.7%??: 6.9%Canada: 5.7%United States: 4.0%6 others listed: 11.8%72%largest
France607 · 71.7%??58 · 6.9%Canada48 · 5.7%United States34 · 4.0%6 others listed100 · 11.8%

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

Which institutions lead Diverse multidisciplinary academic research research?

By volume in 2022–2025, Université de Lille publishes the most Diverse multidisciplinary academic research research, followed by University of Mons and Université Sorbonne Nouvelle.

By volume, 2022–2025

  1. 1 Université de LilleFrance 16 works
  2. 2 University of MonsBelgium 13 works
  3. 3 Université Sorbonne NouvelleFrance 12 works
  4. 4 Centre National de la Recherche ScientifiqueFrance 12 works
  5. 5 Centre de Recherche sur les Médiations?? 11 works
  6. 6 Université de PoitiersFrance 11 works
  7. 7 Université Bordeaux MontaigneFrance 10 works
  8. 8 Université Lumière Lyon 2France 10 works
  9. 9 Université Grenoble AlpesFrance 10 works
  10. 10 Université de LorraineFrance 10 works

Where is Diverse multidisciplinary academic research research done?

The largest centres of Diverse multidisciplinary academic research research in 2022–2025 are Paris (France), Lyon (France), Toulouse (France) and Montpellier (France). Among places with at least 20 works in it, it is an unusually large share of all research in Lyon and Lille.

Largest cities, 2022–2025

  1. 1 Paris France 148 works
  2. 2 Lyon France 38 works
  3. 3 Toulouse France 24 works
  4. 4 Montpellier France 21 works
  5. 5 Lille France 21 works
  6. 6 Montreal Canada 21 works
  7. 7 Rennes France 19 works
  8. 8 Nantes France 17 works
  9. 9 Bordeaux France 16 works
  10. 10 Marseille France 16 works

Where it is the local speciality

  1. LyonFR · 38.0 works43×
  2. LilleFR · 21.0 works37×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Diverse multidisciplinary academic research than the world average.

See Diverse multidisciplinary academic research on the map

Where is the best place to study Diverse multidisciplinary academic research?

Among universities, judged by research, Université de Poitiers, Université de Lille and Université du Québec à Montréal 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 7.26%fractional works in this node (log) →share in the world top 10% →Université de Poitiers: 11, 14.0%Université de Lille: 16, 3.8%Université du Québec à Montréal: 9, 17.3%Université de Lorraine: 10, 12.7%Université Lumière Lyon 2: 10, 7.3%Aix-Marseille Université: 9, 7.3%Université Grenoble Alpes: 10, 0.0%Université Sorbonne Nouvelle: 12, 4.5%Université Paul-Valéry Montpellier: 9, 5.7%University of Mons: 13, 0.0%Université du Québec…Université de PoitiersUniversité de LorraineUniversité de Lille
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 Université de PoitiersFrance 66.014.0%93.5×11 +92.1%
2 Université de LilleFrance 62.13.8%54.4×16 +80.8%
3 Université du Québec à MontréalCanada 62.117.3%39.9×9 +42.5%
4 Université de LorraineFrance 60.412.7%40.4×10 +58.7%
5 Université Lumière Lyon 2France 59.17.3%162.9×10 +240.8%
6 Aix-Marseille UniversitéFrance 50.87.3%33.4×9 +78.6%
7 Université Grenoble AlpesFrance 50.60.0%32.6×10 +256.6%
8 Université Sorbonne NouvelleFrance 48.44.5%108.5×12 +47.5%
9 Université Paul-Valéry MontpellierFrance 47.95.7%130.0×9 +156.2%
10 University of MonsBelgium 44.50.0%74.1×13 +13.0%

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 Diverse multidisciplinary academic research research growing?

Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2018. The fastest-growing topics are Diverse multidisciplinary academic research.

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.