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Topic · Political Science and International Relations

Medieval and Early Modern Justice

Medieval and Early Modern Justice is a research topic within Political Science and International Relations. Science Explorer counts 7k research works in it since 1950. 8.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the evolution of judicial systems, legal institutions, and court practices in Europe, focusing on topics such as social control, criminal justice, feudal law, and the role of legal history in understanding medieval society. It delves into the intricacies of crime and punishment, shedding light on the development of judicial systems during the Renaissance period.

  • Judicial Systems
  • Legal History
  • Social Control
  • Criminal Justice
  • Medieval Society
  • Court Practices
  • Feudal Law
  • Crime and Punishment
  • Legal Institutions
  • Renaissance Justice
Research works
7k
fractional, since 1950
In the world top 10%
585
per year above
Top-10% rate
8.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+23%
the tick is no change

Which countries lead Medieval and Early Modern Justice research?

By volume, France and Italy publish the most (845 and 170 works in 2022–2025).

By volume, 2022–2025

  1. 1 France 845 works
  2. 2 Italy 170 works
  3. 3 United States 86 works
  4. 4 United Kingdom 56 works
  5. 5 ?? 51 works
  6. 6 Belgium 38 works
  7. 7 Germany 30 works
  8. 8 Canada 29 works
  9. 9 Spain 25 works
  10. 10 Switzerland 20 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: 62.6%Italy: 12.6%United States: 6.4%United Kingdom: 4.1%6 others listed: 14.3%63%largest
France845 · 62.6%Italy170 · 12.6%United States86 · 6.4%United Kingdom56 · 4.1%6 others listed193 · 14.3%

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

Which institutions lead Medieval and Early Modern Justice research?

By volume in 2022–2025, Université de Caen Normandie publishes the most Medieval and Early Modern Justice research, followed by Centre National de la Recherche Scientifique and Université Paris 1 Panthéon-Sorbonne.

By volume, 2022–2025

  1. 1 Université de Caen NormandieFrance 30 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 26 works
  3. 3 Université Paris 1 Panthéon-SorbonneFrance 24 works
  4. 4 Université de LilleFrance 19 works
  5. 5 University of MilanItaly 19 works
  6. 6 Institut National de Recherches Archéologiques PréventivesFrance 18 works
  7. 7 Université Paris NanterreFrance 15 works
  8. 8 Université de PoitiersFrance 15 works
  9. 9 Institut de Recherches Historiques du SeptentrionFrance 14 works
  10. 10 France, Amériques, Espagne, Sociétés, Pouvoirs, ActeursFrance 13 works

Where is Medieval and Early Modern Justice research done?

The largest centres of Medieval and Early Modern Justice research in 2022–2025 are Paris (France), Lyon (France), Toulouse (France) and Caen (France). Among places with at least 20 works in it, it is an unusually large share of all research in Caen, Poitiers and Tours.

Largest cities, 2022–2025

  1. 1 Paris France 203 works
  2. 2 Lyon France 48 works
  3. 3 Toulouse France 42 works
  4. 4 Caen France 38 works
  5. 5 Milan Italy 27 works
  6. 6 Nanterre France 25 works
  7. 7 Lille France 25 works
  8. 8 Poitiers France 24 works
  9. 9 Rennes France 23 works
  10. 10 Brest France 21 works

Where it is the local speciality

  1. CaenFR · 38.0 works100×
  2. PoitiersFR · 24.5 works84×
  3. ToursFR · 20.3 works67×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Medieval and Early Modern Justice than the world average.

See Medieval and Early Modern Justice on the map

Where is the best place to study Medieval and Early Modern Justice?

Among universities, judged by research, University of Milan, Université Paris 1 Panthéon-Sorbonne and Université Rennes 2 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 7.91%fractional works in this node (log) →share in the world top 10% →University of Milan: 19, 9.9%Université Paris 1 Panthéon-Sorbonne: 24, 8.3%Université Rennes 2: 10, 16.6%Université Paris Nanterre: 15, 11.9%Université de Caen Normandie: 30, 2.1%Sorbonne Université: 10, 7.4%Université de Lille: 19, 2.8%Université Bordeaux Montaigne: 9, 9.3%Université de Lorraine: 13, 3.8%Université Toulouse - Jean Jaurès: 10, 7.0%Université Rennes 2Université Paris Nan…University of MilanUniversité Paris 1 P…
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 University of MilanItaly 76.09.9%20.6×19 +992.7%
2 Université Paris 1 Panthéon-SorbonneFrance 63.18.3%105.0×24 +8.3%
3 Université Rennes 2France 62.416.6%81.3×10 +15.6%
4 Université Paris NanterreFrance 61.911.9%52.8×15 +27.6%
5 Université de Caen NormandieFrance 58.72.1%206.6×30 +45.7%
6 Sorbonne UniversitéFrance 53.47.4%14.8×10 +23.7%
7 Université de LilleFrance 50.42.8%41.6×19 +4.0%
8 Université Bordeaux MontaigneFrance 49.79.3%101.5×9 +47.4%
9 Université de LorraineFrance 48.13.8%36.7×13 +4.8%
10 Université Toulouse - Jean JaurèsFrance 47.07.0%53.3×10 +37.8%

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 Medieval and Early Modern Justice research growing?

Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Medieval and Early Modern Justice.

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.