Spatial and Panel Data Analysis
Spatial and Panel Data Analysis is a research topic within Economics and Econometrics. Science Explorer counts 13k research works in it since 1951. 41.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on spatial econometrics and spatial data analysis, covering topics such as panel data models, spatial autocorrelation, geographically weighted regression, dynamic panel data models, spatial statistics, spatial dependence, spatial modeling, network autocorrelation, and local statistics.
- Spatial Econometrics
- Panel Data Models
- Spatial Autocorrelation
- Geographically Weighted Regression
- Dynamic Panel Data Models
- Spatial Statistics
- Spatial Dependence
- Spatial Modeling
- Network Autocorrelation
- Local Statistics
- Research works
- 13k fractional, since 1951
- In the world top 10%
- 5.5k per year above
- Top-10% rate
- 41.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +19% the tick is no change
Which countries lead Spatial and Panel Data Analysis research?
By volume, China and the United States publish the most (572 and 412 works in 2022–2025).
By volume, 2022–2025
- 1 China 572 works
- 2 United States 412 works
- 3 Indonesia 129 works
- 4 Italy 97 works
- 5 United Kingdom 97 works
- 6 Japan 87 works
- 7 Germany 70 works
- 8 Brazil 68 works
- 9 France 56 works
- 10 Spain 54 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Spatial and Panel Data Analysis research?
By volume in 2022–2025, Peking University publishes the most Spatial and Panel Data Analysis research, followed by Wuhan University and Sepuluh Nopember Institute of Technology.
By volume, 2022–2025
- 1 Peking UniversityChina 12 works
- 2 Wuhan UniversityChina 11 works
- 3 Sepuluh Nopember Institute of TechnologyIndonesia 10 works
- 4 China University of Petroleum, East ChinaChina 10 works
- 5 The University of TokyoJapan 9 works
- 6 Renmin University of ChinaChina 9 works
- 7 Universidade de São PauloBrazil 9 works
- 8 The University of Texas at DallasUnited States 9 works
- 9 University of BolognaItaly 8 works
- 10 IPB UniversityIndonesia 8 works
Who are the leading researchers in Spatial and Panel Data Analysis?
The most-cited researchers publishing on Spatial and Panel Data Analysis include M. Hashem Pesaran, Richard Blundell and Stephen Bond.
- 1 M. Hashem Pesaran United States 9.1k citations
- 2 Richard Blundell United Kingdom 5.2k citations
- 3 Stephen Bond United Kingdom 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Spatial and Panel Data Analysis research done?
The largest centres of Spatial and Panel Data Analysis research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Tokyo (Japan).
Where is the best place to study Spatial and Panel Data Analysis?
Among universities, judged by research, Peking University, Renmin University of China and The University of Texas at Dallas 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Peking UniversityChina | 65.6 | 58.9% | 3.4× | 12 | +23.4% |
| 2 | Renmin University of ChinaChina | 63.4 | 49.8% | 12.6× | 9 | +20.4% |
| 3 | The University of Texas at DallasUnited States | 62.6 | 53.9% | 19.3× | 8 | -3.8% |
| 4 | Wuhan UniversityChina | 61.3 | 49.4% | 4.2× | 11 | +98.0% |
| 5 | Sepuluh Nopember Institute of TechnologyIndonesia | 56.5 | 24.0% | 10.6× | 10 | +138.7% |
| 6 | China University of Petroleum, East ChinaChina | 55.7 | 36.8% | 9.1× | 10 | — |
| 7 | Xiamen UniversityChina | 36.7 | 41.1% | 5.0× | 8 | +20.6% |
| 8 | The University of TokyoJapan | 35.4 | 28.6% | 3.6× | 9 | +26.2% |
| 9 | University of BolognaItaly | 34.7 | 30.5% | 4.8× | 8 | -9.7% |
| 10 | IPB UniversityIndonesia | 31.7 | 10.1% | 6.6× | 8 | +806.2% |
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 Spatial and Panel Data Analysis research growing?
Output in 2018–2022 was 19% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Spatial and Panel Data Analysis.
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.