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Topic · Geography, Planning and Development

Geographic Information Systems Studies

Geographic Information Systems Studies is a research topic within Geography, Planning and Development. Science Explorer counts 30k research works in it since 1950. 25.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the collection, analysis, and utilization of Volunteered Geographic Information (VGI) and geospatial crowdsourcing. It explores topics such as participatory GIS, OpenStreetMap, citizen science, spatial data infrastructure, web-based GIS, crowdsourced mapping, geovisualization, and the semantic web.

  • Volunteered Geographic Information
  • Geospatial Crowdsourcing
  • Participatory GIS
  • OpenStreetMap
  • Citizen Science
  • Spatial Data Infrastructure
  • Web-based GIS
  • Crowdsourced Mapping
  • Geovisualization
  • Semantic Web
Research works
30k
fractional, since 1950
In the world top 10%
7.6k
per year above
Top-10% rate
25.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-14%
the tick is no change

Which countries lead Geographic Information Systems Studies research?

By volume, China and the United States publish the most (706 and 644 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 706 works
  2. 2 United States 644 works
  3. 3 Germany 245 works
  4. 4 United Kingdom 180 works
  5. 5 France 179 works
  6. 6 Brazil 163 works
  7. 7 India 148 works
  8. 8 Italy 138 works
  9. 9 Japan 102 works
  10. 10 Canada 92 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: 27.2%United States: 24.8%Germany: 9.4%United Kingdom: 6.9%6 others listed: 31.7%27%largest
China706 · 27.2%United States644 · 24.8%Germany245 · 9.4%United Kingdom180 · 6.9%6 others listed822 · 31.7%

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

Which institutions lead Geographic Information Systems Studies research?

By volume in 2022–2025, Wuhan University publishes the most Geographic Information Systems Studies research, followed by China University of Geosciences and University of Twente.

By volume, 2022–2025

  1. 1 Wuhan UniversityChina 37 works
  2. 2 China University of GeosciencesChina 20 works
  3. 3 University of TwenteNetherlands 16 works
  4. 4 Pennsylvania State UniversityUnited States 15 works
  5. 5 Palacký University OlomoucCzechia 15 works
  6. 6 Technical University of MunichGermany 15 works
  7. 7 Adam Mickiewicz University in PoznańPoland 15 works
  8. 8 Universidade Federal do ParanáBrazil 15 works
  9. 9 Chinese Academy of SciencesChina 14 works
  10. 10 PLA Information Engineering UniversityChina 14 works

Who are the leading researchers in Geographic Information Systems Studies?

The most-cited researchers publishing on Geographic Information Systems Studies include Luc Van Gool and Hans‐Peter Kriegel.

  1. 1 Luc Van Gool Switzerland 8.5k citations
  2. 2 Hans‐Peter Kriegel Germany 5.7k citations

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

Where is Geographic Information Systems Studies research done?

The largest centres of Geographic Information Systems Studies research in 2022–2025 are Beijing (China), Wuhan (China), Nanjing (China) and Paris (France).

Largest cities, 2022–2025

  1. 1 Beijing China 191 works
  2. 2 Wuhan China 88 works
  3. 3 Nanjing China 52 works
  4. 4 Paris France 45 works
  5. 5 Tokyo Japan 40 works
  6. 6 London United Kingdom 36 works
  7. 7 Moscow Russia 32 works
  8. 8 Shanghai China 32 works
  9. 9 Vienna Austria 30 works
  10. 10 Athens Greece 28 works
See Geographic Information Systems Studies on the map

Where is the best place to study Geographic Information Systems Studies?

Among universities, judged by research, Wuhan University, China University of Geosciences and Palacký University Olomouc 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%20%40%60%mean 32.8%fractional works in this node (log) →share in the world top 10% →Wuhan University: 37, 44.4%China University of Geosciences: 20, 43.4%Palacký University Olomouc: 15, 35.5%Université Gustave Eiffel: 12, 31.9%Adam Mickiewicz University in Poznań: 15, 26.7%TU Wien: 13, 20.9%University of Twente: 16, 13.6%National Technical University of Athens: 12, 18.3%University of California, Santa Barbara: 8, 54.2%Ruhr University Bochum: 10, 39.1%Wuhan UniversityChina University of …Palacký University O…Université Gustave E…
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 Wuhan UniversityChina 61.244.4%7.7×37 -29.0%
2 China University of GeosciencesChina 61.143.4%11.2×20 -18.6%
3 Palacký University OlomoucCzechia 59.635.5%24.0×15 +57.4%
4 Université Gustave EiffelFrance 53.931.9%21.8×12 —
5 Adam Mickiewicz University in PoznańPoland 51.926.7%9.2×15 +88.4%
6 TU WienAustria 51.920.9%10.9×13 +44.7%
7 University of TwenteNetherlands 49.413.6%13.7×16 +9.2%
8 National Technical University of AthensGreece 49.018.3%12.5×12 +69.6%
9 University of California, Santa BarbaraUnited States 46.954.2%6.8×8 +1.9%
10 Ruhr University BochumGermany 46.739.1%6.7×10 +70.3%

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 Geographic Information Systems Studies research growing?

Output in 2018–2022 was 14% lower than in 2013–2017, peaking in 2014. The fastest-growing topics are Geographic Information Systems 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.