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Topic · Artificial Intelligence

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. 10.1% 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%
638
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+32%
the tick is no change
Largest producer
United States
23% of the 10 largest, 2022-now
Authorship Attribution and Profiling

Which countries lead Authorship Attribution and Profiling research?

By volume, the United States and India publish the most (317 and 261 works in 2022-now).

By volume, 2022-now

  1. 1 United States 317 works
  2. 2 India 261 works
  3. 3 China 233 works
  4. 4 Germany 117 works
  5. 5 United Kingdom 111 works
  6. 6 Russia 89 works
  7. 7 Spain 63 works
  8. 8 Italy 57 works
  9. 9 Indonesia 56 works
  10. 10 Poland 47 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.

United States: 23.5%India: 19.3%China: 17.2%Germany: 8.6%6 others listed: 31.3%23%largest
United States317 · 23.5%India261 · 19.3%China233 · 17.2%Germany117 · 8.6%6 others listed423 · 31.3%

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

Which institutions lead Authorship Attribution and Profiling research?

By volume in 2022-now, Queensland University of Technology publishes the most Authorship Attribution and Profiling research, followed by Centre National de la Recherche Scientifique and National Research University Higher School of Economics.

By volume, 2022-now

  1. 1 Queensland University of TechnologyAustralia 15 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 14 works
  3. 3 National Research University Higher School of EconomicsRussia 11 works
  4. 4 Charles UniversityCzechia 9 works
  5. 5 Russian Academy of SciencesRussia 9 works
  6. 6 University of HelsinkiFinland 9 works
  7. 7 Binus UniversityIndonesia 8 works
  8. 8 Honeywell (United States)United States 7 works
  9. 9 Chinese Academy of SciencesChina 7 works
  10. 10 Polish Academy of SciencesPoland 7 works

Who are the leading researchers in Authorship Attribution and Profiling?

The most-cited researchers publishing on Authorship Attribution and Profiling include Christopher D. Manning and Philip S. Yu.

  1. 1 Christopher D. Manning United States 179k citations
  2. 2 Philip S. Yu United States 141k citations

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

What are the most cited papers in Authorship Attribution and Profiling?

The most cited paper in Authorship Attribution and Profiling is "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination" (Marianne Bertrand, Sendhil Mullainathan, 2004), with 4,548 citations. Next come "The mathematics of statistical machine translation: parameter estimation" (4,107) and "Word association norms, mutual information, and lexicography" (3,666).

Most cited papers
#PaperReleasedCitations
1 Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination Marianne Bertrand, Sendhil Mullainathan · American Economic Review Sep 2004 4,548
2 The mathematics of statistical machine translation: parameter estimation Peter F. Brown, Vincent J. Della Pietra, Stephen A. Della Pietra et al. Jun 1993 4,107
3 Word association norms, mutual information, and lexicography Kenneth Church, Patrick Hanks Open access Mar 1990 3,666
4 Quantitative Analysis of Culture Using Millions of Digitized Books Jean-Baptiste Michel, Yuan Kui Shen, Aviva Presser Aiden et al. · Science Open access 16 Dec 2010 3,145
5 Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan · Science Open access 13 Apr 2017 2,956
All 100 most cited papers, with filters and sorting

Where is Authorship Attribution and Profiling research done?

The largest centres of Authorship Attribution and Profiling research in 2022-now are Beijing (China), Moscow (Russia), London (United Kingdom) and Chennai (India). Among places with at least 20 works in it, it is an unusually large share of all research in Dhaka.

Largest cities, 2022-now

  1. 1 BeijingChina 53 works
  2. 2 MoscowRussia 34 works
  3. 3 LondonUnited Kingdom 23 works
  4. 4 ChennaiIndia 21 works
  5. 5 DhakaBangladesh 21 works
  6. 6 ShanghaiChina 19 works
  7. 7 New YorkUnited States 17 works
  8. 8 BrisbaneAustralia 16 works
  9. 9 MadridSpain 16 works
  10. 10 SeoulSouth Korea 16 works

Where it is the local speciality

  1. DhakaBD · 21.1 works4.0×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Authorship Attribution and Profiling than the world average.

See Authorship Attribution and Profiling on the map

Where is the best place to study Authorship Attribution and Profiling?

Among universities, judged by research, Queensland University of Technology, University of Helsinki and Charles 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.

0%2.5%5%7.5%mean 4.62%fractional works in this field (log) →share of work in the world top 10% →University of HelsinkiCharles UniversityQueensland Universit…Binus University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Queensland University of TechnologyAustralia 65.23.7%22.0×15 -
2University of HelsinkiFinland 61.96.9%6.2×9 +77.9%
3Charles UniversityCzechia 33.75.0%10.3×10 -18.8%
4Binus UniversityIndonesia 29.53.5%7.8×8 +550.0%
5National Research University Higher School of EconomicsRussia 26.74.0%13.2×10 -17.2%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Authorship Attribution and Profiling, country by country

Is Authorship Attribution and Profiling research growing?

Output in 2022-2025 was 32% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Authorship Attribution and Profiling.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Authorship Attribution and Profiling as a percentage of every work published that year, 0.0059% in 2024.

still counting0.0050%0.010%0.015%Authorship Attribution and Profiling0.012% in 202519801990200020102020

Fractional works of Authorship Attribution and Profiling over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Authorship Attribution and Profiling9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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