Authorship Attribution and Profiling
Authorship Attribution and Profiling is a research topic within Artificial Intelligence. Science Explorer counts 6.3k research works in it since 1952. 19.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages.
- Authorship Attribution
- Stylometry
- Text Classification
- User Profiling
- Gender Differences
- Language Use
- Social Media Analysis
- Machine Learning
- Forensic Linguistics
- Author Identification
- Research works
- 6.3k fractional, since 1952
- In the world top 10%
- 1.2k per year above
- Top-10% rate
- 19.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +28% the tick is no change
Which countries lead Authorship Attribution and Profiling research?
By volume, the United States and India publish the most (214 and 158 works in 2022–2025).
By volume, 2022–2025
- 1 United States 214 works
- 2 India 158 works
- 3 China 148 works
- 4 United Kingdom 80 works
- 5 Germany 76 works
- 6 Russia 73 works
- 7 Indonesia 44 works
- 8 Spain 42 works
- 9 Poland 40 works
- 10 Italy 38 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 Authorship Attribution and Profiling research?
By volume in 2022–2025, National Research University Higher School of Economics publishes the most Authorship Attribution and Profiling research, followed by University of Helsinki and Binus University.
By volume, 2022–2025
- 1 National Research University Higher School of Economics Russia 10 works
- 2 University of Helsinki Finland 7 works
- 3 Binus University Indonesia 7 works
- 4 Charles University Czechia 6 works
- 5 Kazan Federal University Russia 6 works
- 6 Zhejiang University China 5 works
- 7 Hong Kong Polytechnic University Hong Kong 5 works
- 8 St Petersburg University Russia 4 works
- 9 Beijing University of Posts and Telecommunications China 4 works
- 10 University of Birmingham United Kingdom 4 works
Where is Authorship Attribution and Profiling research done?
The largest centres of Authorship Attribution and Profiling research in 2022–2025 are Beijing (China), Moscow (Russia), London (United Kingdom) and New York (United States).
Largest cities, 2022–2025
Where is the best place to study Authorship Attribution and Profiling?
Among universities, judged by research, National Research University Higher School of Economics 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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | National Research University Higher School of Economics Russia | 0.0 | 5.3% | 15.2× | 10 | +403.8% |
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 Authorship Attribution and Profiling research growing?
Output in 2018–2022 was 28% higher than in 2013–2017, peaking in 2026. The fastest-growing topics are Authorship Attribution and Profiling.
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.