Data Management and Algorithms
Data Management and Algorithms is a research topic within Signal Processing. Science Explorer counts 55k research works in it since 1950. 21.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the mining, analysis, and querying of GPS trajectories and moving object data. It covers topics such as trajectory clustering, skyline computation, similarity search, top-k query processing, probabilistic databases, location prediction, and semantic trajectory modeling.
- Trajectory Data Mining
- GPS Trajectories
- Skyline Operator
- Similarity Search
- Spatial Databases
- Top-k Query Processing
- Probabilistic Databases
- Location Prediction
- Clustering Algorithms
- Semantic Trajectories
- Research works
- 55k fractional, since 1950
- In the world top 10%
- 12k per year above
- Top-10% rate
- 21.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -27% the tick is no change
Which countries lead Data Management and Algorithms research?
By volume, China and the United States publish the most (1.5k and 721 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.5k works
- 2 United States 721 works
- 3 India 351 works
- 4 Germany 251 works
- 5 France 218 works
- 6 Japan 158 works
- 7 Italy 154 works
- 8 United Kingdom 136 works
- 9 Canada 119 works
- 10 Brazil 99 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 Data Management and Algorithms research?
By volume in 2022–2025, Tsinghua University publishes the most Data Management and Algorithms research, followed by Wuhan University and National University of Defense Technology.
By volume, 2022–2025
- 1 Tsinghua University China 33 works
- 2 Wuhan University China 31 works
- 3 National University of Defense Technology China 25 works
- 4 Centre National de la Recherche Scientifique France 23 works
- 5 Harbin Institute of Technology China 23 works
- 6 Zhejiang University China 23 works
- 7 Shanghai Jiao Tong University China 23 works
- 8 University of Electronic Science and Technology of China China 22 works
- 9 Chinese Academy of Sciences China 22 works
- 10 Beihang University China 20 works
Who are the leading researchers in Data Management and Algorithms?
The most-cited researchers publishing on Data Management and Algorithms include Li Fei-Fei, Ion Stoica and Thomas S. Huang.
- 1 Li Fei-Fei 17k citations
- 2 Ion Stoica 9.6k citations
- 3 Thomas S. Huang 7.4k citations
- 4 Philip S. Yu 6.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Data Management and Algorithms research done?
The largest centres of Data Management and Algorithms research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Nanjing (China).
Where is the best place to study Data Management and Algorithms?
Among universities, judged by research, Hong Kong University of Science and Technology, Nanyang Technological University and Yunnan University 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 | Hong Kong University of Science and Technology Hong Kong | 61.2 | 22.2% | 9.9× | 20 | -46.7% |
| 2 | Nanyang Technological University Singapore | 58.6 | 38.6% | 4.4× | 18 | -7.8% |
| 3 | Yunnan University China | 55.9 | 13.8% | 8.7× | 17 | +139.8% |
| 4 | University of Electronic Science and Technology of China China | 52.5 | 27.4% | 3.8× | 22 | +90.3% |
| 5 | City University of Hong Kong Hong Kong | 51.2 | 43.3% | 3.1× | 9 | -5.6% |
| 6 | Wuhan University China | 50.9 | 25.8% | 4.9× | 31 | -14.7% |
| 7 | Technical University of Munich Germany | 49.2 | 25.0% | 4.7× | 19 | +24.8% |
| 8 | Aalborg University Denmark | 48.3 | 24.8% | 5.0× | 13 | +69.7% |
| 9 | Tsinghua University China | 45.4 | 24.4% | 3.2× | 33 | -28.4% |
| 10 | Carnegie Mellon University United States | 44.7 | 18.3% | 6.8× | 14 | +29.8% |
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 Data Management and Algorithms research growing?
Output in 2018–2022 was 27% lower than in 2013–2017, peaking in 2009. The fastest-growing topics are Data Management and Algorithms.
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.